Publications

Papers in international journals

  1. H. ten Berg, B. van Bakel, L. van de Wouw, K. Jie, A. Schipper, H. Jansen, R. O’Connor, B. van Ginneken and S. Kurstjens, "ChatGPT and Generating a Differential Diagnosis Early in an Emergency Department Presentation", Annals of Emergency Medicine, 2023.
    Abstract DOI PMID
  2. S. Vinayahalingam, S. Kempers, J. Schoep, T. Hsu, D. Moin, B. van Ginneken, T. Flügge, M. Hanisch and T. Xi, "Intra-oral scan segmentation using deep learning", BMC Oral Health, 2023;23.
    Abstract DOI PMID
  3. C. Jacobs, "Challenges and outlook in the management of pulmonary nodules detected on CT", European Radiology, 2023.
    Abstract DOI PMID
  4. K. Venkadesh, T. Aleef, E. Scholten, Z. Saghir, M. Silva, N. Sverzellati, U. Pastorino, B. van Ginneken, M. Prokop and C. Jacobs, "Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules", Radiology, 2023;308(2):e223308.
    Abstract DOI PMID Algorithm
  5. W. Hendrix, M. Rutten, N. Hendrix, B. van Ginneken, C. Schaefer-Prokop, E. Scholten, M. Prokop and C. Jacobs, "Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals", European Radiology, 2023.
    Abstract DOI PMID
  6. J. Bokhorst, I. Nagtegaal, F. Fraggetta, S. Vatrano, W. Mesker, M. Vieth, J. van der Laak and F. Ciompi, "Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images", Nature Scientific Reports, 2023;13:8398.
    Abstract DOI PMID
  7. B. Laarhuis, M. Janssen, M. Simons, L. van Kalmthout, M. van der Doelen, S. Peters, H. Westdorp, I. van Oort, G. Litjens, M. Gotthardt, J. Nagarajah, N. Mehra and B. Privé, "Tumoral Ki67 and PSMA Expression in Fresh Pre-PSMA-RLT Biopsies and Its Relation With PSMA-PET Imaging and Outcomes of PSMA-RLT in Patients With mCRPC.", Clinical Genitourinary Cancer, 2023.
    Abstract DOI PMID
  8. M. Schuurmans, N. Alves, P. Vendittelli, H. Huisman and J. Hermans, "Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications.", Gastroenterology, 2023.
    Abstract DOI PMID
  9. J. Bokhorst, I. Nagtegaal, I. Zlobec, H. Dawson, K. Sheahan, F. Simmer, R. Kirsch, M. Vieth, A. Lugli, J. van der Laak and F. Ciompi, "Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer", Cancers, 2023;15(7):2079.
    Abstract DOI PMID
  10. G. Sidorenkov, R. Stadhouders, C. Jacobs, F. Mohamed Hoesein, H. Gietema, K. Nackaerts, Z. Saghir, M. Heuvelmans, H. Donker, J. Aerts, R. Vermeulen, A. Uitterlinden, V. Lenters, J. van Rooij, C. Schaefer-Prokop, H. Groen, P. de Jong, R. Cornelissen, M. Prokop, G. de Bock and R. Vliegenthart, "Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial.", European journal of epidemiology, 2023;38(4):445-454.
    Abstract DOI PMID
  11. W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients", Medical Image Analysis, 2023;86:102771.
    Abstract DOI PMID Code
  12. L. van Eekelen, G. Litjens and K. Hebeda, "Artificial intelligence in bone marrow histological diagnostics: potential applications and challenges.", Pathobiology, 2023.
    Abstract DOI PMID
  13. S. Sadr, H. Mohammad-Rahimi, S. Motamedian, S. Zahedrozegar, P. Motie, S. Vinayahalingam, O. Dianat and A. Nosrat, "Deep Learning for Detection of Periapical Radiolucent Lesions: A Systematic Review and Meta-analysis of Diagnostic Test Accuracy.", Journal of endodontics, 2023;49(3):248-261.e3.
    Abstract DOI PMID
  14. J. Linmans, S. Elfwing, J. van der Laak and G. Litjens, "Predictive uncertainty estimation for out-of-distribution detection in digital pathology.", Medical Image Analysis, 2023;83:102655.
    Abstract DOI PMID
  15. P. Bándi, M. Balkenhol, M. van Dijk, M. Kok, B. van Ginneken, J. van der Laak and G. Litjens, "Continual learning strategies for cancer-independent detection of lymph node metastases", Medical Image Analysis, 2023;85:102755.
    Abstract DOI
  16. B. Katende, M. Bresser, M. Kamele, L. Chere, M. Tlahali, R. Erhardt, J. Muhairwe, I. Ayakaka, T. Glass, M. Ruhwald, B. van Ginneken, K. Murphy, M. de Vos, A. Amstutz, M. Mareka, S. Mooko, K. Reither and L. González Fernández, "Impact of a multi-disease integrated screening and diagnostic model for COVID-19, TB, and HIV in Lesotho", PLOS Global Public Health, 2023;3:e0001488.
    Abstract DOI
  17. C. De Vente, K. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le, A. Galdran, M. Ballester, G. Carneiro, R. Devika, P. Hrishikesh, D. Puthussery, H. Liu, Z. Yang, S. Kondo, S. Kasai, E. Wang, A. Durvasula, J. Heras, M. Zapata, T. Araújo, G. Aresta, H. Bogunović, M. Arikan, Y. Lee, H. Cho, Y. Choi, A. Qayyum, I. Razzak, B. Van Ginneken, H. Lemij and C. Sánchez, "AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge", IEEE Transactions on Medical Imaging, 2023:1-1.
    Abstract DOI
  18. D. Page, G. Broeckx, C. Jahangir, S. Verbandt, R. Gupta, J. Thagaard, R. Khiroya, Z. Kos, K. Abduljabbar, G. Acosta Haab, B. Acs, G. Akturk, J. Almeida, I. Alvarado‐Cabrero, F. Azmoudeh‐Ardalan, S. Badve, N. Baharun, E. Bellolio, V. Bheemaraju, K. Blenman, L. Mendonça Botinelly Fujimoto, N. Bouchmaa, O. Burgues, M. Cheang, F. Ciompi, L. Cooper, A. Coosemans, G. Corredor, F. Dantas Portela, F. Deman, S. Demaria, S. Dudgeon, M. Elghazawy, S. Ely, C. Fernandez‐Martín, S. Fineberg, S. Fox, W. Gallagher, J. Giltnane, S. Gnjatic, P. Gonzalez‐Ericsson, A. Grigoriadis, N. Halama, M. Hanna, A. Harbhajanka, A. Hardas, S. Hart, J. Hartman, S. Hewitt, A. Hida, H. Horlings, Z. Husain, E. Hytopoulos, S. Irshad, E. Janssen, M. Kahila, T. Kataoka, K. Kawaguchi, D. Kharidehal, A. Khramtsov, U. Kiraz, P. Kirtani, L. Kodach, K. Korski, A. Kovács, A. Laenkholm, C. Lang‐Schwarz, D. Larsimont, J. Lennerz, M. Lerousseau, X. Li, A. Ly, A. Madabhushi, S. Maley, V. Manur Narasimhamurthy, D. Marks, E. McDonald, R. Mehrotra, S. Michiels, F. Minhas, S. Mittal, D. Moore, S. Mushtaq, H. Nighat, T. Papathomas, F. Penault‐Llorca, R. Perera, C. Pinard, J. Pinto‐Cardenas, G. Pruneri, L. Pusztai, A. Rahman, N. Rajpoot, B. Rapoport, T. Rau, J. Reis‐Filho, J. Ribeiro, D. Rimm, A. Vincent‐Salomon, M. Salto‐Tellez, J. Saltz, S. Sayed, K. Siziopikou, C. Sotiriou, A. Stenzinger, M. Sughayer, D. Sur, F. Symmans, S. Tanaka, T. Taxter, S. Tejpar, J. Teuwen, E. Thompson, T. Tramm, W. Tran, J. van der Laak, P. van Diest, G. Verghese, G. Viale, M. Vieth, N. Wahab, T. Walter, Y. Waumans, H. Wen, W. Yang, Y. Yuan, S. Adams, J. Bartlett, S. Loibl, C. Denkert, P. Savas, S. Loi, R. Salgado and E. Specht Stovgaard, "Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer", The Journal of Pathology, 2023;260:514-532.
    Abstract DOI
  19. B. de Wilde, F. Joosten, W. Venderink, M. Davidse, J. Geurts, H. Kruijt, A. Vermeulen, B. Martens, M. Schyns, J. Huige, M. de Boer, B. Tonino, H. Zandvoort, K. Lammert, H. Parviainen, A. Vuorinen, S. Syväranta, R. Vogels, W. Prins, A. Coppola, N. Bossa, R. ten Broek and H. Huisman, "Inter-and Intra-Observer Variability and the Effect of Experience in Cine-MRI for Adhesion Detection", Journal of Imaging, 2023;9(3):55.
    Abstract DOI
  20. N. Hendrix, W. Hendrix, K. van Dijke, B. Maresch, M. Maas, S. Bollen, A. Scholtens, M. de Jonge, L. Ong, B. van Ginneken and M. Rutten, "Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist", European Radiology, 2023;33:1575-1588.
    Abstract DOI
  21. N. Alves, J. Bosma, K. Venkadesh, C. Jacobs, Z. Saghir, M. de Rooij, J. Hermans and H. Huisman, "Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT", Radiology, 2023;308.
    Abstract DOI
  22. L. Thijssen, M. de Rooij, J. Barentsz and H. Huisman, "Radiomics based automated quality assessment for T2W prostate MR images", European Journal of Radiology, 2023.
    Abstract DOI
  23. K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022", European Radiology, 2023.
    Abstract DOI
  24. J. Bosma, A. Saha, M. Hosseinzadeh, I. Slootweg, M. de Rooij and H. Huisman, "Semi-supervised Learning with Report-guided Pseudo Labels for Deep Learning-based Prostate Cancer Detection Using Biparametric MRI", Radiology: Artificial Intelligence, 2023:e230031.
    Abstract DOI
  25. B. van den Beukel, B. de Wilde, F. Joosten, H. van Goor, W. Venderink, H. Huisman and R. ten Broek, "Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions", Journal of Imaging, 2023;9(5).
    Abstract DOI
  26. J. van der Graaf, R. Kroeze, C. Buckens, N. Lessmann and M. van Hooff, "MRI image features with an evident relation to low back pain: a narrative review", European Spine Journal, 2023:1-12.
    Abstract DOI
  27. J. Bokhorst, F. Ciompi, S. Öztürk, A. Oguz Erdogan, M. Vieth, H. Dawson, R. Kirsch, F. Simmer, K. Sheahan, A. Lugli, I. Zlobec, J. van der Laak and I. Nagtegaal, "Fully Automated Tumor Bud Assessment in Hematoxylin and Eosin-Stained Whole Slide Images of Colorectal Cancer", Modern Pathology, 2023;36:100233.
    Abstract DOI
  28. K. Leeuwen, M. Becks, D. Grob, F. de Lange, J. Rutten, S. Schalekamp, M. Rutten, B. van Ginneken, M. de Rooij and F. Meijer, "AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation", Heliyon, 2023;9(8).
    Abstract DOI
  29. L. Menotti, G. Silvello, M. Atzori, S. Boytcheva, F. Ciompi, G. Di Nunzio, F. Fraggetta, F. Giachelle, O. Irrera, S. Marchesin, N. Marini, H. Müller and T. Primov, "Modelling digital health data: The ExaMode ontology for computational pathology", Journal of Pathology Informatics, 2023;14:100332.
    Abstract DOI
  30. J. Thagaard, G. Broeckx, D. Page, C. Jahangir, S. Verbandt, Z. Kos, R. Gupta, R. Khiroya, K. Abduljabbar, G. Acosta Haab, B. Acs, G. Akturk, J. Almeida, I. Alvarado‐Cabrero, M. Amgad, F. Azmoudeh‐Ardalan, S. Badve, N. Baharun, E. Balslev, E. Bellolio, V. Bheemaraju, K. Blenman, L. Mendonça Botinelly Fujimoto, N. Bouchmaa, O. Burgues, A. Chardas, M. U Chon Cheang, F. Ciompi, L. Cooper, A. Coosemans, G. Corredor, A. Dahl, F. Dantas Portela, F. Deman, S. Demaria, J. Doré Hansen, S. Dudgeon, T. Ebstrup, M. Elghazawy, C. Fernandez‐Martín, S. Fox, W. Gallagher, J. Giltnane, S. Gnjatic, P. Gonzalez‐Ericsson, A. Grigoriadis, N. Halama, M. Hanna, A. Harbhajanka, S. Hart, J. Hartman, S. Hauberg, S. Hewitt, A. Hida, H. Horlings, Z. Husain, E. Hytopoulos, S. Irshad, E. Janssen, M. Kahila, T. Kataoka, K. Kawaguchi, D. Kharidehal, A. Khramtsov, U. Kiraz, P. Kirtani, L. Kodach, K. Korski, A. Kovács, A. Laenkholm, C. Lang‐Schwarz, D. Larsimont, J. Lennerz, M. Lerousseau, X. Li, A. Ly, A. Madabhushi, S. Maley, V. Manur Narasimhamurthy, D. Marks, E. McDonald, R. Mehrotra, S. Michiels, F. Minhas, S. Mittal, D. Moore, S. Mushtaq, H. Nighat, T. Papathomas, F. Penault‐Llorca, R. Perera, C. Pinard, J. Pinto‐Cardenas, G. Pruneri, L. Pusztai, A. Rahman, N. Rajpoot, B. Rapoport, T. Rau, J. Reis‐Filho, J. Ribeiro, D. Rimm, A. Roslind, A. Vincent‐Salomon, M. Salto‐Tellez, J. Saltz, S. Sayed, E. Scott, K. Siziopikou, C. Sotiriou, A. Stenzinger, M. Sughayer, D. Sur, S. Fineberg, F. Symmans, S. Tanaka, T. Taxter, S. Tejpar, J. Teuwen, E. Thompson, T. Tramm, W. Tran, J. van der Laak, P. van Diest, G. Verghese, G. Viale, M. Vieth, N. Wahab, T. Walter, Y. Waumans, H. Wen, W. Yang, Y. Yuan, R. Zin, S. Adams, J. Bartlett, S. Loibl, C. Denkert, P. Savas, S. Loi, R. Salgado and E. Specht Stovgaard, "Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer", The Journal of Pathology, 2023;260:498-513.
    Abstract DOI
  31. M. Palmer, J. Seddon, M. van der Zalm, A. Hesseling, P. Goussard, H. Schaaf, J. Morrison, B. van Ginneken, J. Melendez, E. Walters and K. Murphy, "Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children", PLOS Global Public Health, 2023;3:e0001799.
    Abstract DOI
  32. M. Smit, F. Ciompi, J. Bokhorst, G. van Pelt, O. Geessink, H. Putter, R. Tollenaar, J. van Krieken, W. Mesker and J. van der Laak, "Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment", Journal of Pathology Informatics, 2023.
    Abstract DOI
  33. W. Xie, C. Jacobs, J. Charbonnier, D. Slebos and B. van Ginneken, "Emphysema subtyping on thoracic computed tomography scans using deep neural networks", Scientific Reports, 2023;13:14147.
    Abstract DOI
  34. P. Bilic, P. Christ, H. Li, E. Vorontsov, A. Ben-Cohen, G. Kaissis, A. Szeskin, C. Jacobs, G. Mamani, G. Chartrand, F. Lohöfer, J. Holch, W. Sommer, F. Hofmann, A. Hostettler, N. Lev-Cohain, M. Drozdzal, M. Amitai, R. Vivanti, J. Sosna, I. Ezhov, A. Sekuboyina, F. Navarro, F. Kofler, J. Paetzold, S. Shit, X. Hu, J. Lipková, M. Rempfler, M. Piraud, J. Kirschke, B. Wiestler, Z. Zhang, C. Hülsemeyer, M. Beetz, F. Ettlinger, M. Antonelli, W. Bae, M. Bellver, L. Bi, H. Chen, G. Chlebus, E. Dam, Q. Dou, C. Fu, B. Georgescu, X. Giró-i-Nieto, F. Gruen, X. Han, P. Heng, J. Hesser, J. Moltz, C. Igel, F. Isensee, P. Jäger, F. Jia, K. Kaluva, M. Khened, I. Kim, J. Kim, S. Kim, S. Kohl, T. Konopczynski, A. Kori, G. Krishnamurthi, F. Li, H. Li, J. Li, X. Li, J. Lowengrub, J. Ma, K. Maier-Hein, K. Maninis, H. Meine, D. Merhof, A. Pai, M. Perslev, J. Petersen, J. Pont-Tuset, J. Qi, X. Qi, O. Rippel, K. Roth, I. Sarasua, A. Schenk, Z. Shen, J. Torres, C. Wachinger, C. Wang, L. Weninger, J. Wu, D. Xu, X. Yang, S. Yu, Y. Yuan, M. Yue, L. Zhang, J. Cardoso, S. Bakas, R. Braren, V. Heinemann, C. Pal, A. Tang, S. Kadoury, L. Soler, B. van Ginneken, H. Greenspan, L. Joskowicz and B. Menze, "The Liver Tumor Segmentation Benchmark (LiTS)", Medical Image Analysis, 2022;84:102680.
    Abstract DOI PMID
  35. M. Aubreville, N. Stathonikos, C. Bertram, R. Klopfleisch, N. Ter Hoeve, F. Ciompi, F. Wilm, C. Marzahl, T. Donovan, A. Maier, J. Breen, N. Ravikumar, Y. Chung, J. Park, R. Nateghi, F. Pourakpour, R. Fick, S. Ben Hadj, M. Jahanifar, A. Shephard, J. Dexl, T. Wittenberg, S. Kondo, M. Lafarge, V. Koelzer, J. Liang, Y. Wang, X. Long, J. Liu, S. Razavi, A. Khademi, S. Yang, X. Wang, R. Erber, A. Klang, K. Lipnik, P. Bolfa, M. Dark, G. Wasinger, M. Veta and K. Breininger, "Mitosis domain generalization in histopathology images - The MIDOG challenge.", Medical Image Analysis, 2022;84:102699.
    Abstract DOI PMID
  36. L. Adams, M. Makowski, G. Engel, M. Rattunde, F. Busch, P. Asbach, S. Niehues, S. Vinayahalingam, B. van Ginneken, G. Litjens and K. Bressem, "Dataset of prostate MRI annotated for anatomical zones and cancer.", Data in brief, 2022;45:108739.
    Abstract DOI PMID
  37. S. Vinayahalingam, N. van Nistelrooij, B. van Ginneken, K. Bressem, D. Tröltzsch, M. Heiland, T. Flügge and R. Gaudin, "Detection of mandibular fractures on panoramic radiographs using deep learning.", Scientific reports, 2022;12(1):19596.
    Abstract DOI PMID
  38. E. Calli, B. Van Ginneken, E. Sogancioglu and K. Murphy, "FRODO: An in-depth analysis of a system to reject outlier samples from a trained neural network.", IEEE transactions on medical imaging, 2022;PP.
    Abstract DOI PMID
  39. S. Jarkman, M. Karlberg, M. Pocevičiūtė, A. Bodén, P. Bándi, G. Litjens, C. Lundström, D. Treanor and J. van der Laak, "Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection.", Cancers, 2022;14(21).
    Abstract DOI PMID
  40. C. Mercan, M. Balkenhol, R. Salgado, M. Sherman, P. Vielh, W. Vreuls, A. Polónia, H. Horlings, W. Weichert, J. Carter, P. Bult, M. Christgen, C. Denkert, K. van de Vijver, J. Bokhorst, J. van der Laak and F. Ciompi, "Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer.", NPJ breast cancer, 2022;8(1):120.
    Abstract DOI PMID
  41. S. Marchesin, F. Giachelle, N. Marini, M. Atzori, S. Boytcheva, G. Buttafuoco, F. Ciompi, G. Di Nunzio, F. Fraggetta, O. Irrera, H. Müller, T. Primov, S. Vatrano and G. Silvello, "Empowering digital pathology applications through explainable knowledge extraction tools.", Journal of pathology informatics, 2022;13:100139.
    Abstract DOI PMID
  42. T. Eschert, F. Schwendicke, J. Krois, L. Bohner, S. Vinayahalingam and M. Hanisch, "A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery.", Medicina (Kaunas, Lithuania), 2022;58(8).
    Abstract DOI PMID
  43. B. Feher, U. Kuchler, F. Schwendicke, L. Schneider, J. de Grano Cejudo Oro, T. Xi, S. Vinayahalingam, T. Hsu, J. Brinz, A. Chaurasia, K. Dhingra, R. Gaudin, H. Mohammad-Rahimi, N. Pereira, F. Perez-Pastor, O. Tryfonos, S. Uribe, M. Hanisch and J. Krois, "Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning.", Diagnostics (Basel, Switzerland), 2022;12(8).
    Abstract DOI PMID
  44. N. Harlianto, J. Westerink, M. Hol, R. Wittenberg, W. Foppen, P. van der Veen, B. van Ginneken, J. Verlaan, P. de Jong, F. Mohamed Hoesein and UCC-SMART Study Group , "Patients with diffuse idiopathic skeletal hyperostosis have an increased burden of thoracic aortic calcifications", Rheumatology Advances in Practice, 2022;6(2):rkac060.
    Abstract DOI PMID
  45. N. Naik, B. Hameed, N. Sooriyaperakasam, S. Vinayahalingam, V. Patil, K. Smriti, J. Saxena, M. Shah, S. Ibrahim, A. Singh, H. Karimi, K. Naganathan, D. Shetty, B. Rai, P. Chlosta and B. Somani, "Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions.", Frontiers in digital health, 2022;4:919985.
    Abstract DOI PMID
  46. E. Munari, G. Querzoli, M. Brunelli, M. Marconi, M. Sommaggio, M. Cocchi, G. Martignoni, G. Netto, A. Caliò, L. Quatrini, F. Mariotti, C. Luchini, I. Girolami, A. Eccher, D. Segala, F. Ciompi, G. Zamboni, L. Moretta and G. Bogina, "Comparison of three validated PD-L1 immunohistochemical assays in urothelial carcinoma of the bladder: interchangeability and issues related to patient selection.", Frontiers in immunology, 2022;13:954910.
    Abstract DOI PMID
  47. R. Vliegenthart, A. Fouras, C. Jacobs and N. Papanikolaou, "Innovations in thoracic imaging: CT, radiomics, AI and x-ray velocimetry", Respirology, 2022;27(10):818-833.
    Abstract DOI PMID
  48. E. Calli, K. Murphy, E. Scholten, S. Schalekamp and B. van Ginneken, "Explainable emphysema detection on chest radiographs with deep learning", PLoS One, 2022;17(7):e0267539.
    Abstract DOI PMID
  49. N. Marini, S. Marchesin, S. Otálora, M. Wodzinski, A. Caputo, M. van Rijthoven, W. Aswolinskiy, J. Bokhorst, D. Podareanu, E. Petters, S. Boytcheva, G. Buttafuoco, S. Vatrano, F. Fraggetta, J. van der Laak, M. Agosti, F. Ciompi, G. Silvello, H. Muller and M. Atzori, "Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.", NPJ digital medicine, 2022;5(1):102.
    Abstract DOI PMID
  50. M. Hermsen, F. Ciompi, A. Adefidipe, A. Denic, A. Dendooven, B. Smith, D. van Midden, J. Brasen, J. Kers, M. Stegall, P. Bándi, T. Nguyen, Z. Swiderska-Chadaj, B. Smeets, L. Hilbrands and J. van der Laak, "Convolutional neural networks for the evaluation of chronic and inflammatory lesions in kidney transplant biopsies", American Journal of Pathology, 2022;192(10):1418-1432.
    Abstract DOI PMID
  51. L. Adams, M. Makowski, G. Engel, M. Rattunde, F. Busch, P. Asbach, S. Niehues, S. Vinayahalingam, B. van Ginneken, G. Litjens and K. Bressem, "Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection.", Computers in biology and medicine, 2022;148:105817.
    Abstract DOI PMID
  52. M. Antonelli, A. Reinke, S. Bakas, K. Farahani, A. Kopp-Schneider, B. Landman, G. Litjens, B. Menze, O. Ronneberger, R. Summers, B. van Ginneken, M. Bilello, P. Bilic, P. Christ, R. Do, M. Gollub, S. Heckers, H. Huisman, W. Jarnagin, M. McHugo, S. Napel, J. Pernicka, K. Rhode, C. Tobon-Gomez, E. Vorontsov, J. Meakin, S. Ourselin, M. Wiesenfarth, P. Arbelaez, B. Bae, S. Chen, L. Daza, J. Feng, B. He, F. Isensee, Y. Ji, F. Jia, I. Kim, K. Maier-Hein, D. Merhof, A. Pai, B. Park, M. Perslev, R. Rezaiifar, O. Rippel, I. Sarasua, W. Shen, J. Son, C. Wachinger, L. Wang, Y. Wang, Y. Xia, D. Xu, Z. Xu, Y. Zheng, A. Simpson, L. Maier-Hein and M. Cardoso, "The Medical Segmentation Decathlon", Nature Communications, 2022;13(1):4128.
    Abstract DOI PMID
  53. G. Litjens, F. Ciompi and J. van der Laak, "A Decade of GigaScience: The Challenges of Gigapixel Pathology Images.", GigaScience, 2022;11.
    Abstract DOI PMID Download
  54. H. Pinckaers, J. van Ipenburg, J. Melamed, A. De Marzo, E. Platz, B. van Ginneken, J. van der Laak and G. Litjens, "Predicting biochemical recurrence of prostate cancer with artificial intelligence", Communications Medicine, 2022;2:64.
    Abstract DOI PMID
  55. K. Koschmieder, M. Paul, T. van den Heuvel, A. van der Eerden, B. van Ginneken and R. Manniesing, "Automated detection of cerebral microbleeds via segmentation in susceptibility-weighted images of patients with traumatic brain injury", NeuroImage: Clinical, 2022;35:103027.
    Abstract DOI PMID
  56. C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison", IEEE Transactions on Artificial Intelligence, 2022;3(2):129-138.
    Abstract DOI PMID Download
  57. I. Girolami, L. Pantanowitz, S. Marletta, M. Hermsen, J. van der Laak, E. Munari, L. Furian, F. Vistoli, G. Zaza, M. Cardillo, L. Gesualdo, G. Gambaro and A. Eccher, "Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.", Journal of nephrology, 2022.
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  58. E. Sogancioglu, K. Murphy, E. Th Scholten, L. Boulogne, M. Prokop and B. van Ginneken, "Automated estimation of total lung volume using chest radiographs and deep learning", Medical Physics, 2022;49(7):4466-4477.
    Abstract DOI PMID
  59. S. Satturwar, I. Girolami, E. Munari, F. Ciompi, A. Eccher and L. Pantanowitz, "Program death ligand-1 immunocytochemistry in lung cancer cytological samples: A systematic review.", Diagnostic cytopathology, 2022;50(6):313-323.
    Abstract DOI PMID
  60. Y. Chen, S. Vinayahalingam, S. Bergé, Y. Liao, T. Maal and T. Xi, "Is the pattern of mandibular asymmetry in mild craniofacial microsomia comparable to non-syndromic class II asymmetry?", Clinical oral investigations, 2022;26(6):4603-4613.
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  61. L. Bohner, S. Vinayahalingam, J. Kleinheinz and M. Hanisch, "Digital Implant Planning in Patients with Ectodermal Dysplasia: Clinical Report.", International journal of environmental research and public health, 2022;19(3).
    Abstract DOI PMID
  62. M. Schilpzand, C. Neff, J. van Dillen, B. van Ginneken, T. Heskes, C. de Korte and T. van den Heuvel, "Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.", Ultrasound in medicine & biology, 2022;48(4):663-674.
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  63. W. Bulten, K. Kartasalo, P. Chen, P. Strom, H. Pinckaers, K. Nagpal, Y. Cai, D. Steiner, H. van Boven, R. Vink, C. de Hulsbergen-van Kaa, J. van der Laak, M. Amin, A. Evans, T. van der Kwast, R. Allan, P. Humphrey, H. Gronberg, H. Samaratunga, B. Delahunt, T. Tsuzuki, T. Hakkinen, L. Egevad, M. Demkin, S. Dane, F. Tan, M. Valkonen, G. Corrado, L. Peng, C. Mermel, P. Ruusuvuori, G. Litjens, M. Eklund, A. Brilhante, A. Cakir, X. Farre, K. Geronatsiou, V. Molinie, G. Pereira, P. Roy, G. Saile, P. Salles, E. Schaafsma, J. Tschui, J. Billoch-Lima, E. Pereira, M. Zhou, S. He, S. Song, Q. Sun, H. Yoshihara, T. Yamaguchi, K. Ono, T. Shen, J. Ji, A. Roussel, K. Zhou, T. Chai, N. Weng, D. Grechka, M. Shugaev, R. Kiminya, V. Kovalev, D. Voynov, V. Malyshev, E. Lapo, M. Campos, N. Ota, S. Yamaoka, Y. Fujimoto, K. Yoshioka, J. Juvonen, M. Tukiainen, A. Karlsson, R. Guo, C. Hsieh, I. Zubarev, H. Bukhar, W. Li, J. Li, W. Speier, C. Arnold, K. Kim, B. Bae, Y. Kim, H. Lee, J. Park and the PANDA challenge consortium, "Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge", Nature Medicine, 2022.
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  64. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, M. van den Heuvel, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Scan-based competing death risk model for reevaluating lung cancer computed tomography screening eligibility", European Respiratory Journal, 2022;59(5):2101613.
    Abstract DOI PMID Download
  65. K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "How does artificial intelligence in radiology improve efficiency and health outcomes?", Pediatric Radiology, 2022;52(11):2087-2093.
    Abstract DOI PMID
  66. M. den Van Bempt, S. Vinayahalingam, M. Han, S. Bergé and T. Xi, "The role of muscular traction in the occurrence of skeletal relapse after advancement bilateral sagittal split osteotomy (BSSO): A systematic review.", Orthodontics & craniofacial research, 2022;25(1):1-13.
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  67. N. Alves, M. Schuurmans, G. Litjens, J. Bosma, J. Hermans and H. Huisman, "Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography", Cancers, 2022:376.
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  68. M. Schuurmans, N. Alvás, P. Vendittelli, H. Huisman and J. Hermans, "Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging", Cancers, 2022:3498.
    Abstract DOI
  69. S. Labus, M. Altmann, H. Huisman, A. Tong, T. Penzkofer, M. Choi, I. Shabunin, D. Winkel, P. Xinga, D. Szolar, S. Shea, R. Grimm, H. von Busch, A. Kamen, T. Herold and C. Baumann, "A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists", European Radiology, 2022.
    Abstract DOI
  70. M. Huisman and N. Lessmann, "Automatic Brand Identification of Orthopedic Implants from Radiographs: Ready for the Next Step?", Radiology: Artificial Intelligence, 2022;4(2):e220008.
    Abstract DOI
  71. J. Bleker, T. Kwee, D. Rouw, C. Roest, J. Borstlap, I. de Jong, R. Dierckx, H. Huisman and D. Yakar, "A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics", European Radiology, 2022:1-10.
    Abstract
  72. L. Hadjiiski, K. Cha, H. Chan, K. Drukker, L. Morra, J. Näppi, B. Sahiner, H. Yoshida, Q. Chen, T. Deserno, H. Greenspan, H. Huisman, Z. Huo, R. Mazurchuk, N. Petrick, D. Regge, R. Samala, R. Summers, K. Suzuki, G. Tourassi, D. Vergara and S. III, "AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging", Medical Physics, 2022.
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  73. M. Sunoqrot, A. Saha, M. Hosseinzadeh, M. Elschot and H. Huisman, "Artificial Intelligence for Prostate MRI: Open Datasets, Available Applications, and Grand Challenges", European Radiology Experimental, 2022:35.
    Abstract DOI
  74. M. Schaap, N. Cardozo, A. Patel, E. de Jong, B. van Ginneken and M. Seyger, "Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks", Journal of the European Academy of Dermatology and Venereology, 2022;36(1):68-75.
    Abstract DOI Download
  75. S. Schalekamp, W. Klein and K. van Leeuwen, "Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective", Pediatric Radiology, 2022;52(11):2120-2130.
    Abstract DOI
  76. M. D'Amato, P. Szostak and B. Torben-Nielsen, "A Comparison Between Single- and Multi-Scale Approaches for Classification of Histopathology Images", Frontiers in Public Health, 2022;10.
    Abstract DOI
  77. J. Noothout, N. Lessmann, M. Eede, L. van Harten, E. Sogancioglu, F. Heslinga, M. Veta, B. van Ginneken and I. Isgum, "Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation", Journal of Medical Imaging, 2022.
    Abstract DOI
  78. B. van Ginneken, "Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists Now", Radiology, 2022;00:1-2.
    Abstract DOI
  79. C. Roest, T. Kwee, A. Saha, J. Futterer, D. Yakar and H. Huisman, "AI-Assisted Biparametric MRI Surveillance of Prostate Cancer: Feasibility Study", European Radiology, 2022.
    Abstract DOI
  80. C. González-Gonzalo, E. Thee, C. Klaver, A. Lee, R. Schlingemann, A. Tufail, F. Verbraak and C. Sánchez, "Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice", Progress in Retinal and Eye Research, 2021.
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  81. C. Jacobs, A. Setio, E. Scholten, P. Gerke, H. Bhattacharya, F. M. Hoesein, M. Brink, E. Ranschaert, P. de Jong, M. Silva, B. Geurts, K. Chung, S. Schalekamp, J. Meersschaert, A. Devaraj, P. Pinsky, S. Lam, B. van Ginneken and K. Farahani, "Deep Learning for Lung Cancer Detection in Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists", Radiology: Artificial Intelligence, 2021;3(6):e210027.
    Abstract DOI PMID Download
  82. L. van Eekelen, H. Pinckaers, M. van den Brand, K. Hebeda and G. Litjens, "Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variation.", Pathology, 2021.
    Abstract DOI PMID Download
  83. C. Jacobs, A. Schreuder, S. van Riel, E. Scholten, R. Wittenberg, M. Winkler Wille, B. de Hoop, R. Sprengers, O. Mets, B. Geurts, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement", Radiology: Imaging Cancer, 2021;3(5):e200160.
    Abstract DOI PMID
  84. M. Dekker, F. Waissi, M. Silvis, J. Bennekom, A. Schoneveld, R. de Winter, I. Isgum, N. Lessmann, B. Velthuis, G. Pasterkamp, A. Mosterd, L. Timmers and D. de Kleijn, "High Levels of Osteoprotegerin Are Associated with Coronary Artery Calcification in Patients Suspected of a Chronic Coronary Syndrome", Nature Scientific Reports, 2021;11(1):18946.
    Abstract DOI PMID Algorithm
  85. K. Kartasalo, W. Bulten, B. Delahunt, P. Chen, H. Pinckaers, H. Olsson, X. Ji, N. Mulliqi, H. Samaratunga, T. Tsuzuki, J. Lindberg, M. Rantalainen, C. Wahlby, G. Litjens, P. Ruusuvuori, L. Egevad and M. Eklund, "Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.", European Urology Focus, 2021;7(4):687-691.
    Abstract DOI PMID Download
  86. G. Bortsova, C. González-Gonzalo, S. Wetstein, F. Dubost, I. Katramados, L. Hogeweg, B. Liefers, B. van Ginneken, J. Pluim, M. Veta, C. Sánchez and M. de Bruijne, "Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors", Medical Image Analysis, 2021:102141.
    Abstract DOI PMID arXiv Download
  87. A. Schreuder, M. Prokop, E. Scholten, O. Mets, K. Chung, F. Mohamed Hoesein, C. Jacobs and C. Schaefer-Prokop, "CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?", Cancers, 2021;13(11):2812.
    Abstract DOI PMID
  88. E. Calli, E. Sogancioglu, B. van Ginneken, K. van Leeuwen and K. Murphy, "Deep learning for chest X-ray analysis: A survey", Medical Image Analysis, 2021;72:102125.
    Abstract DOI PMID Download
  89. A. Schreuder, E. Scholten, B. van Ginneken and C. Jacobs, "Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?", Translational Lung Cancer Research, 2021;10(5):2378-2388.
    Abstract DOI PMID
  90. E. Munari, M. Marconi, G. Querzoli, G. Lunardi, P. Bertoglio, F. Ciompi, A. Tosadori, A. Eccher, N. Tumino, L. Quatrini, P. Vacca, G. Rossi, A. Cavazza, G. Martignoni, M. Brunelli, G. Netto, L. Moretta, G. Zamboni and G. Bogina, "Impact of PD-L1 and PD-1 Expression on the Prognostic Significance of CD8+, Tumor-Infiltrating Lymphocytes in Non-Small Cell Lung Cancer.", Frontiers in immunology, 2021;12:680973.
    Abstract DOI PMID Download
  91. E. Munari, F. Mariotti, L. Quatrini, P. Bertoglio, N. Tumino, P. Vacca, A. Eccher, F. Ciompi, M. Brunelli, G. Martignoni, G. Bogina and L. Moretta, "PD-1/PD-L1 in Cancer: Pathophysiological, Diagnostic and Therapeutic Aspects.", International journal of molecular sciences, 2021;22(10).
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  92. M. Hermsen, V. Volk, J. Brasen, D. Geijs, W. Gwinner, J. Kers, J. Linmans, N. Schaadt, J. Schmitz, E. Steenbergen, Z. Swiderska-Chadaj, B. Smeets, L. Hilbrands and J. van der Laak, "Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning", Laboratory Investigation, 2021;101(8):970-982.
    Abstract DOI PMID Download
  93. K. Venkadesh, A. Setio, A. Schreuder, E. Scholten, K. Chung, M. W Wille, Z. Saghir, B. van Ginneken, M. Prokop and C. Jacobs, "Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.", Radiology, 2021;300(2):438-447.
    Abstract DOI PMID Algorithm
  94. T. Penzkofer, A. Padhani, B. Turkbey, M. Haider, H. Huisman, J. Walz, G. Salomon, I. Schoots, J. Richenberg, G. Villeirs, V. Panebianco, O. Rouviere, V. Logager and J. Barentsz, "ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.", European Radiology, 2021.
    Abstract DOI PMID Download
  95. J. van der Laak, G. Litjens and F. Ciompi, "Deep learning in histopathology: the path to the clinic.", Nature Medicine, 2021;27(5):775-784.
    Abstract DOI PMID Download
  96. B. de Vos, N. Lessmann, P. de Jong and I. Isgum, "Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT", Radiology: Cardiothoracic Imaging, 2021;3(2):e190219.
    Abstract DOI PMID Download
  97. R. Gal, S. van Velzen, M. Hooning, M. Emaus, F. van der Leij, M. Gregorowitsch, E. Blezer, S. Gernaat, N. Lessmann, M. Sattler, T. Leiner, P. de Jong, A. Teske, J. Verloop, J. Penninkhof, I. Vaartjes, H. Meijer, J. van Tol-Geerdink, J. Pignol, D. van den Bongard, I. Isgum and H. Verkooijen, "Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer", JAMA Oncology, 2021;7(7):1024-1032.
    Abstract DOI PMID Algorithm Download
  98. A. Schreuder, O. Mets, C. Schaefer-Prokop, C. Jacobs and M. Prokop, "Microsimulation modeling of extended annual CT screening among lung cancer cases in the National Lung Screening Trial", Lung Cancer, 2021;156:5-11.
    Abstract DOI PMID Download
  99. K. van Leeuwen, S. Schalekamp, M. Rutten, B. van Ginneken and M. de Rooij, "Artificial intelligence in radiology: 100 commercially available products and their scientific evidence", European Radiology, 2021;31:3797–3804.
    Abstract DOI PMID
  100. F. Faita, T. Oranges, N. Di Lascio, F. Ciompi, S. Vitali, G. Aringhieri, A. Janowska, M. Romanelli and V. Dini, "Ultra-high-frequency ultrasound and machine learning approaches for the differential diagnosis of melanocytic lesions.", Experimental Dermatology, 2021.
    Abstract DOI PMID Download
  101. H. Pinckaers, W. Bulten, J. der Van Laak and G. Litjens, "Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels.", IEEE Transactions on Medical Imaging, 2021.
    Abstract DOI PMID Download
  102. M. Velema, L. Canu, T. Dekkers, A. Hermus, H. Timmers, L. Schultze Kool, H. Groenewoud, C. Jacobs, J. Deinum and S. Investigators, "Volumetric evaluation of CT images of adrenal glands in primary aldosteronism.", Journal of endocrinological investigation, 2021;44(11):2359-2366.
    Abstract DOI PMID Download
  103. T. de Bel, J. Bokhorst, J. van der Laak and G. Litjens, "Residual cyclegan for robust domain transformation of histopathological tissue slides.", Medical Image Analysis, 2021;70:102004.
    Abstract DOI PMID Download
  104. M. Balkenhol, F. Ciompi, Z. Swiderska-Chadaj, R. van de Loo, M. Intezar, I. Otte-Holler, D. Geijs, J. Lotz, N. Weiss, T. de Bel, G. Litjens, P. Bult and J. van der Laak, "Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics.", The Breast, 2021;56:78-87.
    Abstract DOI PMID
  105. O. Turner, B. Knight, A. Zuraw, G. Litjens and D. Rudmann, "Mini Review: The Last Mile-Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology.", Toxicologic Pathology, 2021;49(4):714-719.
    Abstract DOI PMID Download
  106. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening", European Respiratory Journal, 2021;58(3):2003386.
    Abstract DOI PMID
  107. B. Liefers, P. Taylor, A. Alsaedi, C. Bailey, K. Balaskas, N. Dhingra, C. Egan, F. Rodrigues, C. González-Gonzalo, T. Heeren, A. Lotery, P. Muller, A. Olvera-Barrios, B. Paul, R. Schwartz, D. Thomas, A. Warwick, A. Tufail and C. Sánchez, "Quantification of key retinal features in early and late age-related macular degeneration using deep learning", American Journal of Ophthalmology, 2021;226:1-12.
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  108. D. Grob, L. Oostveen, C. Jacobs, E. Scholten, M. Prokop, C. Schaefer-Prokop, I. Sechopoulos and M. Brink, "Pulmonary nodule enhancement in subtraction CT and dual-energy CT: A comparison study", European Journal of Radiology, 2021;134:109443.
    Abstract DOI PMID Download
  109. M. van Rijthoven, M. Balkenhol, K. Silina, J. van der Laak and F. Ciompi, "HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images", Medical Image Analysis, 2021;68:101890.
    Abstract DOI PMID Algorithm Download
  110. J. Bartstra, F. Draaisma, S. Zwakenberg, N. Lessmann, J. Wolterink, Y. van der Schouw, P. de Jong and J. Beulens, "Six months vitamin K treatment does not affect systemic arterial calcification or bone mineral density in diabetes mellitus 2", European Journal of Nutrition, 2021;60:1691-1699.
    Abstract DOI PMID Download
  111. N. Lessmann, C. Sánchez, L. Beenen, L. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. van Everdingen, P. Gerke, B. Geurts, H. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021;298(1):E18-E28.
    Abstract DOI PMID Algorithm Download
  112. D. Tellez, G. Litjens, J. van der Laak and F. Ciompi, "Neural Image Compression for Gigapixel Histopathology Image Analysis.", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021;43(2):567-578.
    Abstract DOI PMID Download
  113. M. Hosseinzadeh, A. Saha, P. Brand, I. Slootweg, M. de Rooij and H. Huisman, "Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge", European Radiology, 2021.
    Abstract DOI Download
  114. A. Sekuboyina, M. Husseini, A. Bayat, M. Loffler, H. Liebl, H. Li, G. Tetteh, J. Kukacka, C. Payer, D. Stern, M. Urschler, M. Chen, D. Cheng, N. Lessmann, Y. Hu, T. Wang, D. Yang, D. Xu, F. Ambellan, T. Amiranashvili, M. Ehlke, H. Lamecker, S. Lehnert, M. Lirio, N. de Olaguer, H. Ramm, M. Sahu, A. Tack, S. Zachow, T. Jiang, X. Ma, C. Angerman, X. Wang, K. Brown, A. Kirszenberg, E. Puybareau, D. Chen, Y. Bai, B. Rapazzo, T. Yeah, A. Zhang, S. Xu, F. Hou, Z. He, C. Zeng, Z. Xiangshang, X. Liming, T. Netherton, R. Mumme, L. Court, Z. Huang, C. He, L. Wang, S. Ling, L. Huynh, N. Boutry, R. Jakubicek, J. Chmelik, S. Mulay, M. Sivaprakasam, J. Paetzold, S. Shit, I. Ezhov, B. Wiestler, B. Glocker, A. Valentinitsch, M. Rempfler, B. Menze and J. Kirschke, "VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images", Medical Image Analysis, 2021;73:102166.
    Abstract DOI Cited by ~2 Download
  115. A. Saha, M. Hosseinzadeh and H. Huisman, "End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction", Medical Image Analysis, 2021:102155.
    Abstract DOI Algorithm Download
  116. F. Michallek, H. Huisman, B. Hamm, S. Elezkurtaj, A. Maxeiner and M. Dewey, "Prediction of prostate cancer grade using fractal analysis of perfusion MRI: retrospective proof-of-principle study", European Radiology, 2021.
    Abstract DOI Download
  117. J. Bogaerts, M. Steenbeek, M. van Bommel, J. Bulten, J. van der Laak, J. de Hullu and M. Simons, "Recommendations for diagnosing STIC: a systematic review and meta-analysis", 2021;480(4):725-737.
    Abstract DOI Download
  118. D. Winkel, A. Tong, B. Lou, A. Kamen, D. Comaniciu, J. Disselhorst, A. Rodr\'ıguez-Ruiz, H. Huisman, D. Szolar, I. Shabunin, M. Choi, P. Xing, T. Penzkofer, R. Grimm, H. von Busch and D. Boll, "A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate", Investigative Radiology, 2021;Publish Ahead of Print.
    Abstract DOI
  119. K. van Leeuwen, F. Meijer, S. Schalekamp, M. Rutten, E. van Dijk, B. van Ginneken, T. Govers and M. Rooij, "Cost ‑ effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment", Insights into Imaging, 2021;12:133.
    Abstract DOI
  120. A. Hering, S. Hager, J. Moltz, N. Lessmann, S. Heldmann and B. van Ginneken, "CNN-based Lung CT Registration with Multiple Anatomical Constraints", Medical Image Analysis, 2021;72:102139.
    Abstract DOI Algorithm Download
  121. N. Hendrix, E. Scholten, B. Vernhout, S. Bruijnen, B. Maresch, M. de Jong, S. Diepstraten, S. Bollen, S. Schalekamp, M. de Rooij, A. Scholtens, W. Hendrix, T. Samson, L. Sharon Ong, E. Postma, B. van Ginneken and M. Rutten, "Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs", Radiology: Artificial Intelligence, 2021:e200260.
    Abstract DOI Algorithm Download
  122. J. Bleker, D. Yakar, B. van Noort, D. Rouw, I. de Jong, R. Dierckx, T. Kwee and H. Huisman, "Single-center versus multi-center biparametric MRI radiomics approach for clinically significant peripheral zone prostate cancer", Insights into Imaging, 2021;12(1).
    Abstract DOI Download
  123. F. Ciompi, M. Veta, J. van der Laak and N. Rajpoot, "Editorial Computational Pathology", IEEE} Journal of Biomedical and Health Informatics, 2021;25(2):303-306.
    Abstract DOI
  124. E. Calli, K. Murphy, S. Kurstjens, T. Samson, R. Herpers, H. Smits, M. Rutten and B. van Ginneken, "Deep learning with robustness to missing data: A novel approach to the detection of COVID-19", PLoS One, 2021;16(7):e0255301.
    Abstract DOI Download
  125. F. Michallek, H. Huisman, B. Hamm, S. Elezkurtaj, A. Maxeiner and M. Dewey, "Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study", European Radiology, 2021.
    Abstract DOI Download
  126. T. Perik, E. van Genugten, E. Aarntzen, E. Smit, H. Huisman and J. Hermans, "Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review", Abdominal Radiology, 2021.
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  194. A. Halilovic, D. Verweij, A. Simons, M. Stevens-Kroef, S. Vermeulen, J. Elsink, B. Tops, I. Otte-Holler, J. van der Laak, C. van de Water, O. Boelens, M. Schlooz-Vries, J. Dijkstra, I. Nagtegaal, J. Tol, P. van Cleef, P. Span and P. Bult, "HER2, chromosome 17 polysomy and DNA ploidy status in breast cancer; a translational study", Scientific Reports, 2019;9(1):11679.
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  212. M. Balkenhol, P. Bult, D. Tellez, W. Vreuls, P. Clahsen, F. Ciompi and J. van der Laak, "Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer", Cellular Oncology, 2019;42:4555-4569.
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  213. B. Sturm, D. Creytens, M. Cook, J. Smits, M. van Dijk, E. Eijken, E. Kurpershoek, H. Kusters-Vandevelde, A. Ooms, C. Wauters, W. Blokx and J. van der Laak, "Validation of Whole-slide Digitally Imaged Melanocytic Lesions: Does Z-Stack Scanning Improve Diagnostic Accuracy?", Journal of Pathology Informatics, 2019;10:6.
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  218. J. Gómez-Valverde, A. Antón, G. Fatti, B. Liefers, A. Herranz, A. Santos, C. Sánchez and M. Ledesma-Carbayo, "Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning", Biomedical Optics Express, 2019;10(2):892-913.
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  220. N. Lessmann, B. van Ginneken, P. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", Medical Image Analysis, 2019;53:142-155.
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  221. G. Napolitano, E. Lynge, M. Lillholm, I. Vejborg, C. van Gils, M. Nielsen and N. Karssemeijer, "Change in mammographic density across birth cohorts of Dutch breast cancer screening participants", International Journal of Cancer, 2019;145(11):2954-2962.
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  224. N. Lessmann, P. de Jong, C. Celeng, R. Takx, M. Viergever, B. van Ginneken and I. Išgum, "Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers", JACC Cardiovascular Imaging, 2019;12:1808-1817.
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  225. M. Dalmis, A. Gubern-Mérida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann and J. Teuwen, "Artificial Intelligence Based Classification of Breast Lesions Imaged With a Multi-Parametric Breast MRI Protocol With ultrafast DCE-MRI, T2 and DWI", Investigative Radiology, 2019;56(6):325-332.
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  227. B. van Ginneken, "Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?", Radiology, 2019;290:545-546.
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  231. V. Schreur, A. Domanian, B. Liefers, F. Venhuizen, B. Klevering, C. Hoyng, E. de Jong and T. Theelen, "Morphological and topographical appearance of microaneurysms on optical coherence tomography angiography", British Journal of Ophthalmology, 2019;103(5):630-635.
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  248. R. Koesoemadinata, K. Kranzer, R. Livia, N. Susilawati, J. Annisa, N. Soetedjo, R. Ruslami, R. Philipsen, B. van Ginneken, R. Soetikno, R. van Crevel, B. Alisjahbana and P. Hill, "Computer-assisted chest radiography reading for tuberculosis screening in people living with diabetes mellitus", International Journal of Tuberculosis and Lung Disease, 2018;22(9):1088-1094.
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  249. S. Vreemann, J. van Zelst, M. Schlooz-Vries, P. Bult, N. Hoogerbrugge, N. Karssemeijer, A. Gubern-Merida and R. Mann, "The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI", Breast Cancer Research, 2018;20(1):84.
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  251. Z. Bian, J. Charbonnier, J. Liu, D. Zhao, D. Lynch and B. van Ginneken, "Small airway segmentation in thoracic computed tomography scans: a machine learning approach", Physics in Medicine and Biology, 2018;63(15):155024.
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  252. D. Tellez, M. Balkenhol, I. Otte-Holler, R. van de Loo, R. Vogels, P. Bult, C. Wauters, W. Vreuls, S. Mol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi, "Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks", IEEE Transactions on Medical Imaging, 2018;37(9):2126 - 2136.
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  257. B. Ehteshami Bejnordi, M. Mullooly, R. Pfeiffer, S. Fan, P. Vacek, D. Weaver, S. Herschorn, L. Brinton, B. van Ginneken, N. Karssemeijer, A. Beck, G. Gierach, J. van der Laak and M. Sherman, "Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies", Modern Pathology, 2018;31(10):1502-1512.
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  263. F. Venhuizen, B. van Ginneken, B. Liefers, F. van Asten, V. Schreur, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "A Deep Learning Approach for Detection and Quantification of Intraretinal Cystoid Fluid in Multivendor Optical Coherence Tomography", Biomedical Optics Express, 2018;9(4):1545-1569.
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  264. J. Melendez, L. Hogeweg, C. Sánchez, R. Philipsen, R. Aldridge, A. Hayward, I. Abubakar, B. van Ginneken and A. Story, "Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening", International Journal of Tuberculosis and Lung Disease, 2018;22(5):567-571.
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  265. O. Mets, K. Chung, P. Zanen, E. Scholten, W. Veldhuis, B. van Ginneken, M. Prokop, C. Schaefer-Prokop and P. de Jong, "In vivo growth of 60 non-screening detected lung cancers: a computed tomography study", European Respiratory Journal, 2018;51:1702183.
    Abstract DOI PMID Cited by ~3 Download
  266. J. van Zelst and R. Mann, "Automated Three-dimensional Breast US for Screening: Technique, Artifacts, and Lesion Characterization", Radiographics, 2018;38(3):663-683.
    Abstract DOI PMID
  267. A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken, "Lung cancer risk to personalise annual and biennial follow-up computed tomography screening", Thorax, 2018;73(7):626-633.
    Abstract DOI PMID Cited by ~13 Download
  268. M. Oei, F. Meijer, J. Mordang, E. Smit, A. Idema, B. Goraj, H. Laue, M. Prokop and R. Manniesing, "Observer Variability of Reference Tissue Selection for Relative Cerebral Blood Volume Measurements in Glioma Patients", European Radiology, 2018;28(9):3902-3911.
    Abstract DOI PMID Cited by ~5
  269. M. Silva, C. Schaefer-Prokop, C. Jacobs, G. Capretti, F. Ciompi, B. van Ginneken, U. Pastorino and N. Sverzellati, "Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis", Investigative Radiology, 2018;53(8):441-449.
    Abstract DOI PMID Cited by ~13 Download
  270. M. Meijs, F. de Leeuw, H. Boogaarts, R. Manniesing and F. Meijer, "Circle of Willis collateral flow in carotid artery occlusion is depicted by 4D-CTA", World Neurosurgery, 2018;114:421-426.
    Abstract DOI PMID Cited by ~5
  271. G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans", Physics in Medicine and Biology, 2018;63(8):085003.
    Abstract DOI PMID Cited by ~11
  272. K. Chung, F. Ciompi, J. Scholten E. Th. Goo, M. Prokop, C. Jacobs, B. van Ginneken and C. Schaefer-Prokop, "Visual Discrimination of Screen-detected Persistent from Transient Subsolid Nodules: an Observer Study", PLoS One, 2018;13(2):e0191874.
    Abstract DOI PMID Cited by ~4 Download
  273. J. van Zelst, T. Tan, P. Clauser, A. Domingo, M. Dorrius, D. Drieling, M. Golatta, F. Gras, M. de Jong, R. Pijnappel, M. Rutten, N. Karssemeijer and R. Mann, "Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts", European Radiology, 2018;28(7):2996-3006.
    Abstract DOI PMID Cited by ~23
  274. N. Lessmann, B. van Ginneken, M. Zreik, P. de Jong, B. de Vos, M. Viergever and I. Išgum, "Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions", IEEE Transactions on Medical Imaging, 2018;37(2):615-625.
    Abstract DOI PMID arXiv Cited by ~72
  275. S. Vreemann, A. Gubern-Merida, S. Lardenoije, P. Bult, N. Karssemeijer, K. Pinker and R. Mann, "The frequency of missed breast cancers in women participating in a high-risk MRI screening program", Breast Cancer Research and Treatment, 2018;169(2):323-331.
    Abstract DOI PMID Cited by ~14
  276. S. Vreemann, A. Gubern-Mérida, C. Borelli, P. Bult, N. Karssemeijer and R. Mann, "The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers", PLoS One, 2018;13(1):e0191399.
    Abstract DOI PMID Cited by ~11
  277. M. Dalmis, S. Vreemann, T. Kooi, R. Mann, N. Karssemeijer and A. Gubern-Merida, "Fully automated detection of breast cancer in screening MRI using convolutional neural networks", Journal of Medical Imaging, 2018;5(1):014502.
    Abstract DOI PMID Cited by ~20
  278. J. Charbonnier, K. Chung, E. Scholten, E. van Rikxoort, C. Jacobs, N. Sverzellati, M. Silva, U. Pastorino, B. van Ginneken and F. Ciompi, "Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules", Nature Scientific Reports, 2018;8(1):646.
    Abstract DOI PMID Cited by ~9 Download
  279. H. van der Holst, A. Tuladhar, V. Zerbi, I. van Uden, K. de Laat, E. van Leijsen, M. Ghafoorian, B. Platel, M. Bergkamp, A. van Norden and D. Norris, "White matter changes and gait decline in cerebral small vessel disease", NeuroImage: Clinical, 2018;17:731-738.
    Abstract DOI PMID Cited by ~20
  280. A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R. Bouwman, R. van Engen, N. Karssemeijer, R. Mann, A. Gubern-Merida and I. Sechopoulos, "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers", Acta Radiologica, 2018;59(9):1051-1059.
    Abstract DOI PMID Cited by ~12
  281. A. Rodriguez-Ruiz, A. Gubern-Merida, M. Imhof-Tas, S. Lardenoije, A. Wanders, I. Andersson, S. Zackrisson, K. Lang, M. Dustler, N. Karssemeijer, R. Mann and I. Sechopoulos, "One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?", European Radiology, 2018;28(5):1938-1948.
    Abstract DOI PMID Cited by ~16
  282. C. Balta, R. Bouwman, I. Sechopoulos, M. Broeders, N. Karssemeijer, R. van Engen and W. Veldkamp, "A model observer study using acquired mammographic images of an anthropomorphic breast phantom", Medical Physics, 2018;45(2):655-665.
    Abstract DOI PMID Cited by ~9
  283. J. Mordang, A. Gubern-Merida, A. Bria, F. Tortorella, R. Mann, M. Broeders, G. den Heeten and N. Karssemeijer, "The importance of early detection of calcifications associated with breast cancer in screening", Breast Cancer Research and Treatment, 2018;167(2):451-458.
    Abstract DOI PMID Cited by ~12
  284. S. Vreemann, A. Gubern-Merida, M. Schlooz-Vries, P. Bult, C. van Gils, N. Hoogerbrugge, N. Karssemeijer and R. Mann, "Influence of Risk Category and Screening Round on the Performance of an MR Imaging and Mammography Screening Program in Carriers of the BRCA Mutation and Other Women at Increased Risk", Radiology, 2018;286(2):443-451.
    Abstract DOI PMID Cited by ~25
  285. O. Mets, K. Chung, E. Scholten, W. Veldhuis, M. Prokop, B. van Ginneken, C. Schaefer-Prokop and P. de Jong, "Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?", European Radiology, 2018:1095-1101.
    Abstract DOI PMID Cited by ~15
  286. W. Venderink, M. de Rooij, M. Sedelaar, H. Huisman and J. Futterer, "Elastic versus rigid image registration in MRI-TRUS fusion prostate biopsy: a systematic review and meta-analysis", European Urology Focus, 2018;4:219-227.
    Abstract DOI PMID
  287. M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Išgum, "Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis", Medical Image Analysis, 2018;44:72-85.
    Abstract DOI
  288. J. Sprem, B. de Vos, N. Lessmann, P. de Jong, M. Viergever and I. Isgum, "Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography", Journal of Medical Imaging, 2018;5:044007.
    Abstract DOI
  289. S. Gernaat, S. van Velzen, V. Koh, M. Emaus, I. Išgum, N. Lessmann, S. Moes, A. Jacobson, P. Tan, D. Grobbee, D. van den Bongard, J. Tang and H. Verkooijen, "Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients", Radiotherapy and Oncology, 2018;127:487-492.
    Abstract DOI
  290. J. Sprem, B. de Vos, N. Lessmann, R. van Hamersvelt, M. Greuter, P. de Jong, T. Leiner, M. Viergever and I. Isgum, "Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images", PLoS One, 2018;13:e0209318.
    Abstract DOI
  291. B. Bejnordi, G. Zuidhof, M. Balkenhol, M. Hermsen, P. Bult, B. van Ginneken, N. Karssemeijer, G. Litjens and J. van der Laak, "Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images", Journal of Medical Imaging, 2017;4(4):044504.
    Abstract DOI PMID Cited by ~75 Download
  292. B. Ehteshami Bejnordi, M. Veta, P. van Diest, B. van Ginneken, N. Karssemeijer, G. Litjens, J. van der Laak, T. Consortium, M. Hermsen, Q. Manson, M. Balkenhol, O. Geessink, N. Stathonikos, M. van Dijk, P. Bult, F. Beca, A. Beck, D. Wang, A. Khosla, R. Gargeya, H. Irshad, A. Zhong, Q. Dou, Q. Li, H. Chen, H. Lin, P. Heng, C. Haß, E. Bruni, Q. Wong, U. Halici, M. Öner, R. Cetin-Atalay, M. Berseth, V. Khvatkov, A. Vylegzhanin, O. Kraus, M. Shaban, N. Rajpoot, R. Awan, K. Sirinukunwattana, T. Qaiser, Y. Tsang, D. Tellez, J. Annuscheit, P. Hufnagl, M. Valkonen, K. Kartasalo, L. Latonen, P. Ruusuvuori, K. Liimatainen, S. Albarqouni, B. Mungal, A. George, S. Demirci, N. Navab, S. Watanabe, S. Seno, Y. Takenaka, H. Matsuda, H. Ahmady Phoulady, V. Kovalev, A. Kalinovsky, V. Liauchuk, G. Bueno, M. Fernandez-Carrobles, I. Serrano, O. Deniz, D. Racoceanu and R. Venâncio, "Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer", Journal of the American Medical Association, 2017;318(22):2199-2210.
    Abstract DOI PMID Cited by ~791
  293. L. Gallardo-Estrella, E. Pompe, P. de Jong, C. Jacobs, E. van Rikxoort, M. Prokop, C. Sánchez and B. van Ginneken, "Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality", PLoS One, 2017;12(12):e0188902.
    Abstract DOI PMID Cited by ~7
  294. B. Liefers, F. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, S. Fauser, T. Theelen and C. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Biomedical Optics Express, 2017;8(11):5160-5178.
    Abstract DOI PMID Cited by ~13
  295. K. Holland, I. Sechopoulos, R. Mann, G. den Heeten, C. van Gils and N. Karssemeijer, "Influence of breast compression pressure on the performance of population-based mammography screening", Breast Cancer Research, 2017;19(1):126.
    Abstract DOI PMID Cited by ~19
  296. M. Meijs, A. Patel, S. van de Leemput, M. Prokop, E. van Dijk, F. de Leeuw, F. Meijer, B. van Ginneken and R. Manniesing, "Robust Segmentation of the Full Cerebral Vasculature in 4D CT Images of Suspected Stroke Patients", Nature Scientific Reports, 2017;7.
    Abstract DOI PMID
  297. S. van Riel, F. Ciompi, M. Winkler Wille, A. Dirksen, S. Lam, E. Scholten, S. Rossi, N. Sverzellati, M. Naqibullah, R. Wittenberg, M. Hovinga-de Boer, M. Snoeren, L. Peters-Bax, O. Mets, M. Brink, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers", PLoS One, 2017;12(11):e0185032.
    Abstract DOI PMID Cited by ~18
  298. T. Kooi and N. Karssemeijer, "Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks", Journal of Medical Imaging, 2017;4(4):International Society for Optics and Photonics.
    Abstract DOI PMID Cited by ~6
  299. F. Ciompi, K. Chung, S. van Riel, A. Setio, P. Gerke, C. Jacobs, E. Scholten, C. Schaefer-Prokop, M. Wille, A. Marchiano, U. Pastorino, M. Prokop and B. van Ginneken, "Towards automatic pulmonary nodule management in lung cancer screening with deep learning", Nature Scientific Reports, 2017(46479).
    Abstract DOI PMID arXiv Cited by ~171 Download
  300. E. van Leijsen, I. van Uden, M. Ghafoorian, M. Bergkamp, V. Lohner, E. Kooijmans, H. van der Holst, A. Tuladhar, D. Norris, E. van Dijk, L. Rutten-Jacobs, B. Platel, C. Klijn and F. de Leeuw, "Nonlinear temporal dynamics of cerebral small vessel disease The RUN DMC study", Neurology, 2017;89(15):1569-1577.
    Abstract DOI PMID Cited by ~38
  301. W. Venderink, M. van der Leest, A. van Luijtelaar, W. van de Ven, J. Futterer, J. Sedelaar and H. Huisman, "Retrospective comparison of direct in-bore magnetic resonance imaging (MRI) guided biopsy and fusion guided biopsy in patients with MRI lesions which are likely or highly likely to be clinically significant prostate cancer", World Journal of Urology, 2017;35(12):1849-1855.
    Abstract DOI PMID Cited by ~18
  302. A. Devaraj, B. van Ginneken, A. Nair and D. Baldwin, "Use of Volumetry for Lung Nodule Management: Theory and Practice", Radiology, 2017;284(3):630-644.
    Abstract DOI PMID Cited by ~48 Download
  303. J. Melendez, R. Philipsen, P. Chanda-Kapata, V. Sunkutu, N. Kapata and B. van Ginneken, "Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey", International Journal of Tuberculosis and Lung Disease, 2017;21(8):880-886.
    Abstract DOI PMID Cited by ~10 Download
  304. G. Litjens, T. Kooi, B. Ehteshami Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken and C. Sánchez, "A Survey on Deep Learning in Medical Image Analysis", Medical Image Analysis, 2017;42:60-88.
    Abstract DOI PMID arXiv Cited by ~3681 Download
  305. E. Gibson, Y. Hu, H. Huisman and D. Barratt, "Designing image segmentation studies: statistical power, sample size and reference standard quality", Medical Image Analysis, 2017;42:44-59.
    Abstract DOI PMID Cited by ~7
  306. A. Setio, A. Traverso, T. de Bel, M. Berens, C. Bogaard, P. Cerello, H. Chen, Q. Dou, M. Fantacci, B. Geurts, R. Gugten, P. Heng, B. Jansen, M. de Kaste, V. Kotov, J. Lin, J. Manders, A. Sonora-Mengana, J. Garcia-Naranjo, E. Papavasileiou, M. Prokop, M. Saletta, C. Schaefer-Prokop, E. Scholten, L. Scholten, M. Snoeren, E. Torres, J. Vandemeulebroucke, N. Walasek, G. Zuidhof, B. Ginneken and C. Jacobs, "Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge", Medical Image Analysis, 2017;42:1-13.
    Abstract DOI PMID arXiv Cited by ~291 Download
  307. F. Venhuizen, B. van Ginneken, B. Liefers, Schreur, M. van Grinsven, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "Robust Total Retina Thickness Segmentation in Optical Coherence Tomography Images using Convolutional Neural Networks", Biomedical Optics Express, 2017;8(7):3292-3316.
    Abstract DOI PMID Cited by ~59
  308. T. van den Heuvel, D. Graham, K. Smith, C. de Korte and J. Neasham, "Development of a Low-Cost Medical Ultrasound Scanner Using a Monostatic Synthetic Aperture", IEEE Transactions on Biomedical Circuits and Systems, 2017;11(4):849-857.
    Abstract DOI PMID
  309. M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sánchez, G. Litjens, F. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel, "Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities", Nature Scientific Reports, 2017;7(1):5110.
    Abstract DOI PMID arXiv Cited by ~117
  310. J. van Zelst, R. Mus, G. Woldringh, M. Rutten, P. Bult, S. Vreemann, M. de Jong, N. Karssemeijer, N. Hoogerbrugge and R. Mann, "Surveillance of Women with the BRCA1 or BRCA2 Mutation by Using Biannual Automated Breast US, MR Imaging, and Mammography", Radiology, 2017;285(2):376-388.
    Abstract DOI PMID Cited by ~32
  311. J. Wanders, K. Holland, N. Karssemeijer, P. Peeters, W. Veldhuis, R. Mann and C. van Gils, "The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study", Breast Cancer Research, 2017;19(1):67.
    Abstract DOI PMID Cited by ~28
  312. J. van Zelst, M. Balkenhol, T. Tan, M. Rutten, M. Imhof-Tas, P. Bult, N. Karssemeijer and R. Mann, "Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound", Ultrasound in Medicine and Biology, 2017;43(9):1820-1828.
    Abstract DOI PMID Cited by ~9
  313. B. Lassen-Schmidt, J. Kuhnigk, O. Konrad, B. van Ginneken and E. van Rikxoort, "Fast interactive segmentation of the pulmonary lobes from thoracic computed tomography data", Physics in Medicine and Biology, 2017;62(16):6649-6665.
    Abstract DOI PMID Cited by ~8 Download
  314. A. Castells-Nobau, B. Nijhof, I. Eidhof, L. Wolf, J. Scheffer-de Gooyert, I. Monedero, L. Torroja, J. van der Laak and A. Schenck, "Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology", JoVE, 2017;123(e55395):1-13.
    Abstract DOI PMID Cited by ~5
  315. S. Vreemann, A. Rodriguez-Ruiz, D. Nickel, L. Heacock, L. Appelman, J. van Zelst, N. Karssemeijer, E. Weiland, M. Maas, L. Moy, B. Kiefer and R. Mann, "Compressed Sensing for Breast MRI: Resolving the Trade-Off Between Spatial and Temporal Resolution", Investigative Radiology, 2017;52(10):574-582.
    Abstract DOI PMID Cited by ~21
  316. K. Chung, C. Jacobs, E. Scholten, O. Mets, I. Dekker, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules", European Radiology, 2017;27:4672-4679.
    Abstract DOI PMID Cited by ~8 Download
  317. F. Venhuizen, B. van Ginneken, F. van Asten, M. van Grinsven, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez, "Automated Staging of Age-Related Macular Degeneration Using Optical Coherence Tomography", Investigative Ophthalmology and Visual Science, 2017;58(4):2318-2328.
    Abstract DOI PMID Cited by ~37
  318. E. Pompe, P. de Jong, D. Lynch, N. Lessmann, I. Išgum, B. van Ginneken, J. Lammers and F. Mohamed Hoesein, "Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial", European Respiratory Journal, 2017;49(4):1601814.
    Abstract DOI PMID Cited by ~10 Download
  319. L. Gallardo Estrella, E. Pompe, J. Kuhnigk, D. Lynch, S. Bhatt, B. van Ginneken and E. van Rikxoort, "Computed tomography quantification of tracheal abnormalities in COPD and their influence on airflow limitation", Medical Physics, 2017;44(7):3594-3603.
    Abstract DOI PMID Cited by ~2
  320. U. Yousaf-Khan, C. van der Aalst, P. de Jong, M. Heuvelmans, E. Scholten, J. Walter, K. Nackaerts, H. Groen, R. Vliegenthart, K. Ten Haaf, M. Oudkerk and H. de Koning, "Risk stratification based on screening history: the NELSON lung cancer screening study", Thorax, 2017;72(9):819-824.
    Abstract DOI PMID
  321. K. Chung, C. Jacobs, E. Scholten, J. Goo, H. Prosch, N. Sverzellati, F. Ciompi, O. Mets, P. Gerke, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?", Radiology, 2017;284(1):264-271.
    Abstract DOI PMID Cited by ~32
  322. S. van Riel, F. Ciompi, C. Jacobs, M. Winkler Wille, E. Scholten, M. Naqibullah, S. Lam, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines", European Radiology, 2017;27(10):4019-4029.
    Abstract DOI PMID Cited by ~28 Download
  323. R. Manniesing, M. Oei, L. Oostveen, J. Melendez, E. Smit, B. Platel, C. Sánchez, F. Meijer, M. Prokop and B. van Ginneken, "White Matter and Gray Matter Segmentation in 4D Computed Tomography", Nature Scientific Reports, 2017;7(119).
    Abstract DOI PMID Cited by ~17
  324. M. Ghafoorian, N. Karssemeijer, T. Heskes, M. Bergkamp, J. Wissink, J. Obels, K. Keizer, F. de Leeuw, B. Ginneken, E. Marchiori and B. Platel, "Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin", NeuroImage: Clinical, 2017;14:391-399.
    Abstract DOI PMID Cited by ~85
  325. K. Holland, A. Gubern-Mérida, R. Mann and N. Karssemeijer, "Optimization of volumetric breast density estimation in digital mammograms", Physics in Medicine and Biology, 2017;62(9):3779-3797.
    Abstract DOI PMID Cited by ~6
  326. B. van Ginneken, "Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning", Radiological Physics and Technology, 2017;10(1):23-32.
    Abstract DOI PMID Cited by ~76
  327. J. Mordang, A. Gubern-Merida, A. Bria, F. Tortorella, G. den Heeten and N. Karssemeijer, "Improving computer-aided detection assistance in breast cancer screening by removal of obviously false-positive findings", Medical Physics, 2017;44(4):1390-1401.
    Abstract DOI PMID Cited by ~5
  328. K. Holland, C. van Gils, R. Mann and N. Karssemeijer, "Quantification of masking risk in screening mammography with volumetric breast density maps", Breast Cancer Research and Treatment, 2017;162(3):541-548.
    Abstract DOI PMID Cited by ~21
  329. S. Laban, G. Giebel, N. Klümper, A. Schröck, J. Doescher, G. Spagnoli, J. Thierauf, M. Theodoraki, R. Remark, S. Gnjatic, R. Krupar, A. Sikora, G. Litjens, N. Grabe, G. Kristiansen, F. Bootz, P. Schuler, C. Brunner, J. Brägelmann, T. Hoffmann and S. Perner, "MAGE expression in head and neck squamous cell carcinoma primary tumors, lymph node metastases and respective recurrences: implications for immunotherapy", Oncotarget, 2017;8:14719-14735.
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  330. L. Hogeweg, C. Sánchez, P. Maduskar, R. Philipsen and B. van Ginneken, "Fast and effective quantification of symmetry in medical images for pathology detection: application to chest radiography", Medical Physics, 2017;44(6):2242-2256.
    Abstract DOI PMID Cited by ~4 Download
  331. S. Steens, E. Bekers, W. Weijs, G. Litjens, A. Veltien, A. Maat, G. van den Broek, J. van der Laak, J. Futterer, C. van der Kaa, M. Merkx and R. Takes, "Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.", International Journal of Computer Assisted Radiology and Surgery, 2017;12(5):821-828.
    Abstract DOI PMID Download
  332. T. Kooi, B. van Ginneken, N. Karssemeijer and A. den Heeten, "Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network", Medical Physics, 2017;44(3):1017-1027.
    Abstract DOI PMID Cited by ~63 Download
  333. T. Mertzanidou, J. Hipwell, S. Reis, D. Hawkes, B. Bejnordi, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer, M. Hermsen, P. Bult and R. Mann, "3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging", Medical Physics, 2017;44(3):935-948.
    Abstract DOI PMID Cited by ~11 Download
  334. J. Cohen, H. Kim, S. Park, B. van Ginneken, G. Ferretti, C. Lee, J. Goo and C. Park, "Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules", European Radiology, 2017;27:3266-3274.
    Abstract DOI PMID Cited by ~14 Download
  335. M. Dalmis, G. Litjens, K. Holland, A. Setio, R. Mann, N. Karssemeijer and A. Gubern-Mérida, "Using deep learning to segment breast and fibroglandular tissue in MRI volumes", Medical Physics, 2017;44(2):533-546.
    Abstract DOI PMID Cited by ~113 Download
  336. J. Wanders, K. Holland, W. Veldhuis, R. Mann, R. Pijnappel, P. Peeters, C. van Gils and N. Karssemeijer, "Volumetric breast density affects performance of digital screening mammography", Breast Cancer Research and Treatment, 2017;162(1):95-103.
    Abstract DOI PMID Cited by ~57
  337. A. Patel, B. van Ginneken, F. Meijer, E. van Dijk, M. Prokop and R. Manniesing, "Robust Cranial Cavity Segmentation in CT and CT Perfusion Images of Trauma and Suspected Stroke Patients", Medical Image Analysis, 2017;36:216-228.
    Abstract DOI PMID Cited by ~23 Download
  338. J. Charbonnier, E. van Rikxoort, A. Setio, C. Schaefer-Prokop, B. van Ginneken and F. Ciompi, "Improving Airway Segmentation in Computed Tomography using Leak Detection with Convolutional Networks", Medical Image Analysis, 2017;36:52-60.
    Abstract DOI PMID Cited by ~49
  339. M. Oei, F. Meijer, W. van der Woude, E. Smit, B. van Ginneken, M. Prokop and R. Manniesing, "Interleaving cerebral CT perfusion with neck CT angiography part I. Proof of concept and accuracy of cerebral perfusion values", European Radiology, 2017;27(6):2649-2656.
    Abstract DOI PMID Cited by ~7
  340. M. Oei, F. Meijer, W. van der Woude, E. Smit, B. van Ginneken, R. Manniesing and M. Prokop, "Interleaving cerebral CT perfusion with neck CT angiography. Part II: clinical implementation and image quality", European Radiology, 2017;27(6):2411-2418.
    Abstract DOI PMID Cited by ~10
  341. T. Kooi, G. Litjens, B. van Ginneken, A. Gubern-Mérida, C. Sánchez, R. Mann, A. den Heeten and N. Karssemeijer, "Large scale deep learning for computer aided detection of mammographic lesions", Medical Image Analysis, 2017;35:303-312.
    Abstract DOI PMID Cited by ~432 Download
  342. O. Mets, P. de Jong, E. Scholten, K. Chung, B. van Ginneken and C. Schaefer-Prokop, "Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical population", European Radiology, 2017;27(2):689-696.
    Abstract DOI PMID Cited by ~15
  343. N. Moriakov, "On Effective Birkhoff's Ergodic Theorem for Computable Actions of Amenable Groups", Theory of Computing Systems, 2017.
    Abstract DOI
  344. R. Remark, T. Merghoub, N. Grabe, G. Litjens, D. Damotte, J. Wolchok, M. Merad and S. Gnjatic, "In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide", Science Immunology, 2016;1(1):aaf6925-aaf6925.
    Abstract DOI PMID Cited by ~63
  345. R. Manniesing, C. Brune, B. van Ginneken and M. Prokop, "A 4D CT Digital Phantom of an Individual Human Brain for Perfusion Analysis", PeerJ, 2016;4:e2683.
    Abstract DOI PMID Cited by ~1
  346. M. Ghafoorian, N. Karssemeijer, I. van Uden, F. de Leeuw, T. Heskes, E. Marchiori and B. Platel, "Automated Detection of White Matter Hyperintensities of All Sizes in Cerebral Small Vessel Disease", Medical Physics, 2016;43(12):6246-6258.
    Abstract DOI PMID Cited by ~33
  347. E. Lens, A. Kotte, A. Patel, H. Heerkens, M. Bal, G. van Tienhoven, A. Bel, A. van der Horst and G. Meijer, "Probabilistic treatment planning for pancreatic cancer treatment: prospective incorporation of respiratory motion shows only limited dosimetric benefit", Acta Oncologica, 2016:1-7.
    Abstract DOI PMID
  348. F. Ciompi, S. Balocco, J. Rigla, X. Carrillo, J. Mauri and P. Radeva, "Computer-aided detection of intracoronary stent in intravascular ultrasound sequences", Medical Physics, 2016;43(10):5616.
    Abstract DOI PMID Cited by ~7
  349. O. Debats, A. Fortuin, H. Meijer, T. Hambrock, G. Litjens, J. Barentsz and H. Huisman, "Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol", PeerJ, 2016;4:e2471.
    Abstract DOI PMID Cited by ~7 Download
  350. M. Pompe, E. van Rikxoort, O. Mets, J. Charbonnier, J. Kuhnigk, H. de Koning, M. Oudkerk, R. Vliegenthart, P. Zanen, J. Lammers, B. van Ginneken, P. de Jong and F. Mohamed Hoesein, "Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliability", European Journal of Radiology, 2016;85(11):2008-2013.
    Abstract DOI PMID Cited by ~4 Download
  351. T. Koster, E. van Rikxoort, R. Huebner, F. Doellinger, K. Klooster, J. Charbonnier, S. Radhakrishnan, F. Herth and D. Slebos, "Predicting Lung Volume Reduction after Endobronchial Valve Therapy Is Maximized Using a Combination of Diagnostic Tools", Respiration, 2016;92(3):150-7.
    Abstract DOI PMID Cited by ~55
  352. R. Arntz, S. van den Broek, I. van Uden, M. Ghafoorian, B. Platel, L. Rutten-Jacobs, N. Maaijwee, P. Schaapsmeerders, H. Schoonderwaldt, E. van Dijk and F. de Leeuw, "Accelerated development of cerebral small vessel disease in young stroke patients", Neurology, 2016.
    Abstract DOI PMID Cited by ~18
  353. T. van den Heuvel, A. van der Eerden, R. Manniesing, M. Ghafoorian, T. Tan, T. Andriessen, T. Vyvere, L. van den Hauwe, B. ter Romeny, B. Goraj and B. Platel, "Automated detection of cerebral microbleeds in patients with Traumatic Brain Injury", NeuroImage: Clinical, 2016;12:241 - 251.
    Abstract DOI PMID Cited by ~37
  354. T. Kockelkorn, P. de Jong, C. Schaefer-Prokop, R. Wittenberg, A. Tiehuis, H. Gietema, J. Grutters, M. Viergever and B. van Ginneken, "Semi-automatic classification of textures in thoracic CT scans", Physics in Medicine and Biology, 2016;61(16):5906-5924.
    Abstract DOI PMID Cited by ~4 Download
  355. K. Holland, J. van Zelst, G. den Heeten, M. Imhof-Tas, R. Mann, C. van Gils and N. Karssemeijer, "Consistency of breast density categories in serial screening mammograms: A comparison between automated and human assessment", Breast, 2016;29:49-54.
    Abstract DOI PMID Cited by ~14
  356. T. Tan, A. Gubern-Mérida, C. Borelli, R. Manniesing, J. van Zelst, L. Wang, W. Zhang, B. Platel, R. Mann and N. Karssemeijer, "Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model", Medical Physics, 2016;43(7):4074-4084.
    Abstract DOI PMID Cited by ~8
  357. E. Pompe, P. de Jong, E. van Rikxoort, L. Gallardo Estrella, W. de Jong, R. Vliegenthart, M. Oudkerk, C. van der Aalst, B. van Ginneken, J. Lammers and F. Mohamed Hoesein, "Smokers with emphysema and small airway disease on computed tomography have lower bone density", International Journal of Chronic Obstructive Pulmonary Disease, 2016;11:1207-1216.
    Abstract DOI PMID Cited by ~8
  358. O. Debats, M. Meijs, G. Litjens and H. Huisman, "Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients", Medical Physics, 2016;43(6):3132.
    Abstract DOI PMID Cited by ~2 Download
  359. C. de Korte, S. Fekkes, A. Nederveen, R. Manniesing and H. Hansen, "Review: Mechanical Characterization of Carotid Arteries and Atherosclerotic Plaques", IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2016;63(10):1613-1623.
    Abstract DOI PMID
  360. M. van Grinsven, T. Theelen, L. Witkamp, J. van der Heijden, J. van de Ven, C. Hoyng, B. van Ginneken and C. Sánchez, "Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach", Biomedical Optics Express, 2016;7(3):709-725.
    Abstract DOI PMID Cited by ~7
  361. G. Litjens, C. Sánchez, N. Timofeeva, M. Hermsen, I. Nagtegaal, I. Kovacs, C. Hulsbergen-van de Kaa, P. Bult, B. van Ginneken and J. van der Laak, "Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis", Nature Scientific Reports, 2016;6:26286.
    Abstract DOI PMID Cited by ~490
  362. J. Cohen, J. Goo, R. Yoo, S. Park, B. van Ginneken, G. Ferretti, C. Lee and C. Park, "The effect of late-phase contrast enhancement on semi-automatic software measurements of CT attenuation and volume of part-solid nodules in lung adenocarcinomas", European Journal of Radiology, 2016;85(6):1174-1180.
    Abstract DOI PMID Cited by ~12 Download
  363. J. Schwaab, Y. Diez, A. Oliver, R. Marti, J. van Zelst, A. Gubern-Merida, A. Mourri, J. Gregori and M. Gunther, "Automated quality assessment in three-dimensional breast ultrasound images", Journal of Medical Imaging, 2016;3(2):027002.
    Abstract DOI PMID
  364. J. Melendez, C. Sánchez, R. Philipsen, P. Maduskar, R. Dawson, G. Theron, K. Dheda and B. van Ginneken, "An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information", Nature Scientific Reports, 2016;6:25265.
    Abstract DOI PMID Cited by ~53
  365. J. Hoffman, M. van Grinsven, C. Li, M. Brantley Jr, J. McGrath, A. Agarwal, W. Scott, S. Schwartz, J. Kovach, M. Pericak-Vance, C. Sánchez and J. Haines, "Genetic Association Analysis of Drusen Progression", Investigative Ophthalmology and Visual Science, 2016;57(4):2225-2231.
    Abstract DOI PMID Cited by ~9
  366. B. Bejnordi, M. Balkenhol, G. Litjens, R. Holland, P. Bult, N. Karssemeijer and J. van der Laak, "Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images", IEEE Transactions on Medical Imaging, 2016;35(9):2141-2150.
    Abstract DOI PMID Cited by ~55
  367. W. van de Ven, W. Venderink, J. Sedelaar, J. Veltman, J. Barentsz, J. Fütterer, E. Cornel and H. Huisman, "MR-targeted TRUS prostate biopsy using local reference augmentation: initial experience", International Urology and Nephrology, 2016.
    Abstract DOI PMID Cited by ~6
  368. J. Cohen, J. Goo, R. Yoo, C. Park, C. Lee, B. van Ginneken, D. Chung and Y. Kim, "Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas", European Radiology, 2016;26(12):4465-4474.
    Abstract DOI PMID Cited by ~31 Download
  369. J. Mordang, A. Gubern-Mérida, G. den Heeten and N. Karssemeijer, "Reducing false positives of microcalcification detection systems by removal of breast arterial calcifications", Medical Physics, 2016;43(4):1676-1687.
    Abstract DOI PMID Cited by ~12
  370. A. Ritchie, C. Sanghera, C. Jacobs, W. Zhang, J. Mayo, H. Schmidt, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tammemagi, M. Tsao, S. Lam and the Pan-Canadian Early Detection of Lung Cancer Study Group, "Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT Scans", Journal of Thoracic Oncology, 2016;11(5):709-717.
    Abstract DOI PMID Cited by ~14 Download
  371. A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez and B. van Ginneken, "Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks", IEEE Transactions on Medical Imaging, 2016;35(5):1160-1169.
    Abstract DOI PMID Cited by ~605 Download
  372. O. Mets, P. de Jong, K. Chung, J. Lammers, B. van Ginneken and C. Schaefer-Prokop, "Fleischner recommendations for the management of subsolid pulmonary nodules: high awareness but limited conformance - a survey study", European Radiology, 2016;26:3840-3849.
    Abstract DOI PMID Cited by ~19
  373. M. Kallenberg, K. Petersen, M. Nielsen, A. Ng, P. Diao, C. Igel, C. Vachon, K. Holland, N. Karssemeijer and M. Lillholm, "Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring", IEEE Transactions on Medical Imaging, 2016;35:1322-1331.
    Abstract DOI PMID Cited by ~249
  374. M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez., "Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images", IEEE Transactions on Medical Imaging, 2016;35(5):1273-1284.
    Abstract DOI PMID Cited by ~240 Download
  375. S. Schalekamp, N. Karssemeijer, A. Cats, B. De Hoop, B. Geurts, O. Berger-Hartog, B. van Ginneken and C. Schaefer-Prokop, "The Effect of Supplementary Bone-Suppressed Chest Radiographs on the Assessment of a Variety of Common Pulmonary Abnormalities: Results of an Observer Study", Journal of Thoracic Imaging, 2016;31(2):119-125.
    Abstract DOI PMID Cited by ~3 Download
  376. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, S. Lardenoije, R. Mann, N. Karssemeijer and B. Platel, "Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk", European Journal of Radiology, 2016;85(2):472-479.
    Abstract DOI PMID Cited by ~17
  377. M. Dalmis, A. Gubern-Mérida, S. Vreemann, N. Karssemeijer, R. Mann and B. Platel, "A Computer-Aided Diagnosis System for Breast DCE-MRI at High Spatiotemporal Resolution", Medical Physics, 2016;43(1):84-94.
    Abstract DOI PMID Cited by ~24
  378. P. Maduskar, R. Philipsen, J. Melendez, E. Scholten, D. Chanda, H. Ayles, C. Sánchez and B. van Ginneken, "Automatic detection of pleural effusion in chest radiographs", Medical Image Analysis, 2016;28:22-32.
    Abstract DOI PMID Cited by ~19 Download
  379. J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, H. Ayles and C. Sánchez, "On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis", IEEE Transactions on Medical Imaging, 2016;35(4):1013-1024.
    Abstract DOI PMID Cited by ~28
  380. J. Charbonnier, M. Brink, F. Ciompi, E. Scholten, C. Schaefer-Prokop and E. van Rikxoort, "Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching", IEEE Transactions on Medical Imaging, 2016:882-892.
    Abstract DOI PMID Cited by ~21
  381. M. Meijs, S. Christensen, M. Lansberg, G. Albers and F. Calamante, "Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve", Magnetic Resonance in Medicine, 2016;76:1282-1290.
    Abstract DOI PMID
  382. C. Ridge, A. Yildirim, P. Boiselle, T. Franquet, C. Schaefer-Prokop, D. Tack, P. Gevenois and A. Bankier, "Differentiating between Subsolid and Solid Pulmonary Nodules at CT: Inter- and Intraobserver Agreement between Experienced Thoracic Radiologists", Radiology, 2016:888-96.
    Abstract DOI PMID
  383. C. Jacobs, E. van Rikxoort, K. Murphy, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database", European Radiology, 2016;26:2139-2147.
    Abstract DOI PMID Cited by ~54
  384. T. Kobus, J. van der Laak, M. Maas, T. Hambrock, C. Bruggink, C. Hulsbergen-van de Kaa, T. Scheenen and A. Heerschap, "Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate", Radiology, 2016;278(3):801-811.
    Abstract DOI PMID Cited by ~26 Download
  385. B. Bejnordi, G. Litjens, N. Timofeeva, I. Otte-Holler, A. Homeyer, N. Karssemeijer and J. van der Laak, "Stain specific standardization of whole-slide histopathological images", IEEE Transactions on Medical Imaging, 2016;35(2):404-415.
    Abstract DOI PMID Cited by ~128
  386. G. Bozovic, S. Steen, T. Sjöberg, C. Schaefer-Prokop, J. Verschakelen, Q. Liao, P. Höglund, R. Siemund and I. Björkman-Burtscher, "Circulation stabilizing therapy and pulmonary high-resolution computed tomography in a porcine brain-dead model", Acta Anaesthesiologica Scandinavica, 2016;60:93-102.
    Abstract DOI PMID
  387. G. Litjens, R. Elliott, N. Shih, M. Feldman, T. Kobus, C. Hulsbergen-van de Kaa, J. Barentsz, H. Huisman and A. Madabhushi, "Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.", Radiology, 2016;278(1):135-145.
    Abstract DOI PMID
  388. R. Manniesing, M. Oei, B. van Ginneken and M. Prokop, "Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging", Radiology, 2016;278(1):190-197.
    Abstract DOI PMID Cited by ~18 Download
  389. L. Gallardo-Estrella, D. Lynch, M. Prokop, D. Stinson, J. Zach, P. Judy, B. van Ginneken and E. van Rikxoort, "Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification", European Radiology, 2016;26:478-486.
    Abstract DOI PMID Cited by ~32
  390. W. van de Ven, J. Sedelaar, M. van der Leest, C. de Hulsbergen-van Kaa, J. Barentsz, J. Futterer and H. Huisman, "Visibility of prostate cancer on transrectal ultrasound during fusion with multi-parametric magnetic resonance imaging for biopsy", Clinical Imaging, 2016;40(4):745-750.
    Abstract DOI PMID Cited by ~15
  391. J. Teuwen, "On the integral kernels of derivatives of the Ornstein-Uhlenbeck semigroup", Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2016;19(04):1650030.
    Abstract DOI
  392. H. Greenspan, R. Summers and B. van Ginneken, "Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique", IEEE Transactions on Medical Imaging, 2016;35(5):1153-1159.
    Abstract DOI Download
  393. T. Kockelkorn, R. Ramos, J. Ramos, P. de Jong, C. Schaefer-Prokop, R. Wittenberg, A. Tiehuis, J. Grutters, M. Viergever and B. van Ginneken, "Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures", Frontiers in ICT, 2016;3:33.
    Abstract DOI
  394. A. Steiner, C. Mangu, J. van den Hombergh, H. van Deutekom, B. van Ginneken, P. Clowes, F. Mhimbira, S. Mfinanga, A. Rachow, K. Reither and M. Hoelscher, "Screening for pulmonary tuberculosis in a Tanzanian prison and computer-aided interpretation of chest X-rays", Public Health Action, 2015;5(4):249-254.
    Abstract DOI PMID Cited by ~15
  395. K. Klooster, N. ten Hacken, J. Hartman, H. Kerstjens, E. van Rikxoort and D. Slebos, "Endobronchial Valves for Emphysema without Interlobar Collateral Ventilation", New England Journal of Medicine, 2015;373(24):2325-2335.
    Abstract DOI PMID Cited by ~302
  396. F. Ciompi, B. de Hoop, S. van Riel, K. Chung, E. Scholten, M. Oudkerk, P. de Jong, M. Prokop and B. van Ginneken, "Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box", Medical Image Analysis, 2015;26(1):195-202.
    Abstract DOI PMID Cited by ~191 Download
  397. H. van der Holst, I. van Uden, A. Tuladhar, K. de Laat, A. van Norden, D. Norris, E. van Dijk, R. Esselink, B. Platel and F. de Leeuw, "Cerebral small vessel disease and incident parkinsonism: The RUN DMC study", Neurology, 2015;85(18):1569-1577.
    Abstract DOI PMID Cited by ~53
  398. O. Solyanik, P. Hollmann, S. Dettmer, T. Kaireit, C. Schaefer-Prokop, F. Wacker, J. Vogel-Claussen and H. Shin, "Quantification of Pathologic Air Trapping in Lung Transplant Patients Using CT Density Mapping: Comparison with Other CT Air Trapping Measures", PLoS One, 2015;10(10):e0139102.
    Abstract DOI PMID
  399. A. Setio, C. Jacobs, J. Gelderblom and B. van Ginneken, "Automatic detection of large pulmonary solid nodules in thoracic CT images", Medical Physics, 2015;42(10):5642-5653.
    Abstract DOI PMID Cited by ~88 Download
  400. D. Slebos, E. van Rikxoort and W. van der Bij, "Air Trapping in Emphysema", American Journal of Respiratory and Critical Care Medicine, 2015;192(5):e45.
    Abstract DOI PMID Cited by ~1
  401. M. Teussink, M. Breukink, M. van Grinsven, C. Hoyng, B. Klevering, C. Boon, E. de Jong and T. Theelen, "OCT Angiography Compared to Fluorescein and Indocyanine Green Angiography in Chronic Central Serous Chorioretinopathy", Investigative Ophthalmology and Visual Science, 2015;56(9):5229-5237.
    Abstract DOI PMID
  402. R. Philipsen, C. Sánchez, P. Maduskar, J. Melendez, L. Peters-Bax, J. Peter, R. Dawson, G. Theron, K. Dheda and B. van Ginneken, "Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs", Nature Scientific Reports, 2015;5.
    Abstract DOI PMID Cited by ~36
  403. M. Teussink, B. Cense, M. van Grinsven, B. Klevering, C. Hoyng and T. Theelen, "Impact of motion-associated noise on intrinsic optical signal imaging in humans with optical coherence tomography", Biomedical Optics Express, 2015;6(5):1632-1647.
    Abstract DOI PMID
  404. D. van der Waal, M. Emaus, M. Bakker, G. den Heeten, N. Karssemeijer, R. Pijnappel, W. Veldhuis, A. Verbeek, C. van Gils and M. Broeders, "Geographic variation in volumetric breast density between screening regions in the Netherlands", European Radiology, 2015;25(11):3328-3337.
    Abstract DOI PMID Cited by ~13
  405. E. Smit, E. Vonken, F. Meijer, J. Dankbaar, A. Horsch, B. van Ginneken, B. Velthuis, I. van der Schaaf and M. Prokop, "Timing-Invariant CT Angiography Derived from CT Perfusion Imaging in Acute Stroke: A Diagnostic Performance Study", American Journal of Neuroradiology, 2015;36:1834-1838.
    Abstract DOI PMID Cited by ~16
  406. M. Emaus, M. Bakker, P. Peeters, C. Loo, R. Mann, M. de Jong, R. Bisschops, J. Veltman, K. Duvivier, M. Lobbes, R. Pijnappel, N. Karssemeijer, H. de Koning, M. van den Bosch, E. Monninkhof, W. Mali, W. Veldhuis and C. van Gils, "MR Imaging as an Additional Screening Modality for the Detection of Breast Cancer in Women Aged 50-75 Years with Extremely Dense Breasts: The DENSE Trial Study Design", Radiology, 2015;277(2):527-537.
    Abstract DOI PMID Cited by ~72
  407. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI", European Radiology, 2015;25(11):3187-3199.
    Abstract DOI PMID Cited by ~47 Download
  408. S. van Riel, C. Sánchez, A. Bankier, D. Naidich, J. Verschakelen, E. Scholten, P. de Jong, C. Jacobs, E. van Rikxoort, L. Peters-Bax, M. Snoeren, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management", Radiology, 2015;277(3):863-871.
    Abstract DOI PMID Cited by ~113
  409. E. Pompe, E. van Rikxoort, M. Schmidt, J. Rühaak, L. Gallardo-Estrella, R. Vliegenthart, M. Oudkerk, H. de Koning, B. van Ginneken, P. de Jong, J. Lammers and F. Mohamed Hoesein, "Parametric response mapping adds value to current computed tomography biomarkers in diagnosing chronic obstructive pulmonary disease", American Journal of Respiratory and Critical Care Medicine, 2015;191(9):1084-1086.
    Abstract DOI PMID Cited by ~16 Download
  410. E. Vos, T. Kobus, G. Litjens, T. Hambrock, C. de Hulsbergen-van Kaa, J. Barentsz, M. Maas and T. Scheenen, "Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate Cancer", Investigative Radiology, 2015;50:490-497.
    Abstract DOI PMID Download
  411. R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. Sánchez and B. van Ginneken, "Localized energy-based normalization of medical images: application to chest radiography", IEEE Transactions on Medical Imaging, 2015;34(9):1965-75.
    Abstract DOI PMID Cited by ~27 Download
  412. T. Tan, J. Mordang, J. van Zelst, A. Grivegnée, A. Gubern-Mérida, J. Melendez, R. Mann, W. Zhang, B. Platel and N. Karssemeijer, "Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound", Medical Physics, 2015;42(7):1498-1504.
    Abstract DOI PMID Cited by ~26
  413. M. Winkler Wille, S. van Riel, Z. Saghir, A. Dirksen, J. Pedersen, C. Jacobs, L. Thomsen, E. Scholten, L. Skovgaard and B. van Ginneken, "Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial", European Radiology, 2015;25:3093-3099.
    Abstract DOI PMID Cited by ~51
  414. L. Hogeweg, C. Sánchez, P. Maduskar, R. Philipsen, A. Story, R. Dawson, G. Theron, K. Dheda, L. Peters-Bax and B. van Ginneken, "Automatic detection of tuberculosis in chest radiographs using a combination of textural, focal, and shape abnormality analysis", IEEE Transactions on Medical Imaging, 2015;34(12):2429-2442.
    Abstract DOI PMID Cited by ~51
  415. F. Mohamed Hoesein, P. de Jong, J. Lammers, W. Mali, M. Schmidt, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, H. Groen, B. van Ginneken, E. van Rikxoort and P. Zanen, "Airway wall thickness associated with forced expiratory volume in 1 second decline and development of airflow limitation", European Respiratory Journal, 2015;45(3):644-651.
    Abstract DOI PMID Cited by ~24
  416. B. Lassen, C. Jacobs, J. Kuhnigk, B. van Ginneken and E. van Rikxoort, "Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans", Physics in Medicine and Biology, 2015;60(3):1307-1323.
    Abstract DOI PMID Cited by ~51 Download
  417. M. van Grinsven, G. Buitendijk, C. Brussee, B. van Ginneken, C. Hoyng, T. Theelen, C. Klaver and C. Sánchez, "Automatic identification of reticular pseudodrusen using multimodal retinal image analysis", Investigative Ophthalmology and Visual Science, 2015;56(1):633-639.
    Abstract DOI PMID Cited by ~21 Download
  418. A. Bluekens, W. Veldkamp, K. Schuur, N. Karssemeijer, M. Broeders and G. den Heeten, "The potential use of ultra-low radiation dose images in digital mammography - a clinical proof-of-concept study in craniocaudal views", British Journal of Radiology, 2015;88(1047):20140626.
    Abstract DOI PMID Cited by ~3
  419. A. Gubern-Mérida, M. Kallenberg, R. Mann, R. Marti and N. Karssemeijer, "Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework", IEEE Journal of Biomedical and Health Informatics, 2015;19(1):349-357.
    Abstract DOI PMID Cited by ~90
  420. A. Gubern-Mérida, R. Marti, J. Melendez, J. Hauth, R. Mann, N. Karssemeijer and B. Platel, "Automated localization of breast cancer in DCE-MRI", Medical Image Analysis, 2015;20(1):265-274.
    Abstract DOI PMID Cited by ~88
  421. A. Dijkstra, D. Postma, B. van Ginneken, M. Wielpütz, M. Schmidt, N. Becker, M. Owsijewitsch, H. Kauczor, H. de Koning, J. Lammers, M. Oudkerk, C. Brandsma, Y. Bossé, D. Nickle, D. Sin, P. Hiemstra, C. Wijmenga, J. Smolonska, P. Zanen, J. Vonk, M. van den Berge, H. Boezen and H. Groen, "Novel Genes for Airway Wall Thickness Identified with Combined Genome Wide Association and Expression Analyses", American Journal of Respiratory and Critical Care Medicine, 2015;191(5):547-556.
    Abstract DOI PMID Cited by ~20 Download
  422. C. Jacobs, E. van Rikxoort, E. Scholten, P. de Jong, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Solid, Part-Solid, or Non-solid?: Classification of Pulmonary Nodules in Low-Dose Chest Computed Tomography by a Computer-Aided Diagnosis System", Investigative Radiology, 2015;50(3):168-173.
    Abstract DOI PMID Cited by ~40
  423. J. Ramos, T. Kockelkorn, I. Ramos, R. Ramos, B. van Ginneken, M. Viergever, A. Campilho and J. Grutters, "Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases", IEEE Journal of Biomedical and Health Informatics, 2015;20(1):281-292.
    Abstract DOI PMID Cited by ~26
  424. E. Scholten, P. de Jong, B. de Hoop, R. van Klaveren, S. van de Amelsvoort-van Vorst, M. Oudkerk, R. Vliegenthart, H. de Koning, C. van der Aalst, R. Vernhout, H. Groen, J. Lammers, B. van Ginneken, C. Jacobs, W. Mali, N. Horeweg, C. Weenink, E. Thunnissen, M. Prokop and H. Gietema, "Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?", European Respiratory Journal, 2015;45(3):765-773.
    Abstract DOI PMID Cited by ~55
  425. F. Ciompi, C. Jacobs, E. Scholten, M. Winkler Wille, P. de Jong, M. Prokop and B. van Ginneken, "Bag of frequencies: a descriptor of pulmonary nodules in Computed Tomography images", IEEE Transactions on Medical Imaging, 2015;34(4):1-12.
    Abstract DOI PMID Cited by ~41
  426. E. Scholten, P. de Jong, C. Jacobs, B. van Ginneken, S. van Riel, M. Willemink, R. Vliegenthart, M. Oudkerk, H. de Koning, N. Horeweg, M. Prokop, W. Mali and H. Gietema, "Interscan variation of semi-automated volumetry of subsolid pulmonary nodules", European Radiology, 2015;25(4):1040-1047.
    Abstract DOI PMID Cited by ~24
  427. H. Kortman, E. Smit, M. Oei, R. Manniesing, M. Prokop and F. Meijer, "4D-CTA in Neurovascular Disease: A Review", American Journal of Neuroradiology, 2015;36(6):1026-1033.
    Abstract DOI PMID Cited by ~75
  428. E. Scholten, C. Jacobs, B. van Ginneken, S. van Riel, R. Vliegenthart, M. Oudkerk, H. de Koning, N. Horeweg, M. Prokop, H. Gietema, W. Mali and P. de Jong, "Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation", European Radiology, 2015;25(2):488-496.
    Abstract DOI PMID
  429. E. Scholten, N. Horeweg, H. de Koning, R. Vliegenthart, M. Oudkerk, W. Mali and P. de Jong, "Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screening", European Radiology, 2015;25(1):81-88.
    Abstract DOI PMID
  430. R. Takx, R. Vliegenthart, F. Mohamed Hoesein, I. Išgum, H. de Koning, W. Mali, C. van der Aalst, P. Zanen, J. Lammers, H. Groen, E. van Rikxoort, M. Schmidt, B. van Ginneken, M. Oudkerk, T. Leiner and P. de Jong, "Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study", European Radiology, 2015;25(1):65-71.
    Abstract DOI PMID Cited by ~5
  431. J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, K. Reither, M. Breuninger, I. Adetifa, R. Maane, H. Ayles and C. Sánchez, "A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays", IEEE Transactions on Medical Imaging, 2015;34(1):179-192.
    Abstract DOI PMID Cited by ~52
  432. J. Van Zelst, B. Platel, N. Karssemeijer and R. Mann, "Multiplanar reconstructions of 3D automated breast ultrasound improve lesion differentiation by radiologists", Academic Radiology, 2015;22(12):1489-1496.
    Abstract DOI Cited by ~19
  433. J. Teuwen, "A note on Gaussian maximal function", Indagationes Mathematicae, 2015;26(1):106-112.
    Abstract DOI
  434. C. Gatta and F. Ciompi, "Stacked sequential scale-space Taylor context", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014;36(8):1694-1700.
    Abstract DOI PMID Cited by ~11 Download
  435. G. Litjens, H. Huisman, R. Elliott, N. Shih, M. Feldman, S. Viswanath, J. Fütterer, J. Bomers and A. Madabhushi, "Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy", Journal of Medical Imaging, 2014;1(3):035001-035001.
    Abstract DOI PMID Cited by ~16
  436. C. Schaefer-Prokop, "[HRCT patterns of the most important interstitial lung diseases]", Radiologe, 2014;54(12):1170-1179.
    Abstract DOI PMID
  437. G. Karemore, M. Nielsen, N. Karssemeijer and S. Brandt, "A method to determine the mammographic regions that show early changes due to the development of breast cancer", Physics in Medicine and Biology, 2014;59(22):6759-6773.
    Abstract DOI PMID Cited by ~5
  438. N. Saksens, E. Kersten, J. Groenewoud, M. van Grinsven, J. van de Ven, C. Sánchez, T. Schick, S. Fauser, A. den Hollander, C. Hoyng and C. Boon, "Clinical characteristics of familial and sporadic age-related macular degeneration: differences and similarities", Investigative Ophthalmology and Visual Science, 2014;55:7085-7092.
    Abstract DOI PMID Cited by ~9
  439. N. Horeweg, J. van Rosmalen, M. Heuvelmans, C. van der Aalst, R. Vliegenthart, E. Scholten, K. ten Haaf, K. Nackaerts, J. Lammers, C. Weenink and others, "Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening", Lancet Oncology, 2014;15(12):1332-1341.
    Abstract DOI PMID
  440. N. Horeweg, E. Scholten, P. de Jong, C. van der Aalst, C. Weenink, J. Lammers, K. Nackaerts, R. Vliegenthart, K. Ten Haaf, U. Yousaf-Khan, M. Heuvelmans, E. Thunnissen, M. Oudkerk, W. Mali and H. de Koning, "Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers", Lancet Oncology, 2014;15(12):1342-1350.
    Abstract DOI PMID
  441. S. Schalekamp, B. van Ginneken, I. van den Berk, I. Hartmann, M. Snoeren, A. Odink, W. van Lankeren, S. Pegge, L. Schijf, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression increases the visibility of invasive pulmonary aspergillosis in chest radiographs", PLoS One, 2014;9(10):e108551.
    Abstract DOI PMID Cited by ~7
  442. M. Breuninger, B. van Ginneken, R. Philipsen, F. Mhimbira, J. Hella, F. Lwilla, J. van den Hombergh, A. Ross, L. Jugheli, D. Wagner and K. Reither, "Diagnostic accuracy of computer-aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-saharan Africa", PLoS One, 2014;9(9):e106381.
    Abstract DOI PMID Cited by ~60
  443. R. Rudyanto, S. Kerkstra, E. van Rikxoort, C. Fetita, P. Brillet, C. Lefevre, W. Xue, X. Zhu, J. Liang, I. Öksüz, D. Ünay, K. Kadipasaoglu, R. Estépar, J. Ross, G. Washko, J. Prieto, M. Hoyos, M. Orkisz, H. Meine, M. Hüllebrand, C. Stöcker, F. Mir, V. Naranjo, E. Villanueva, M. Staring, C. Xiao, B. Stoel, A. Fabijanska, E. Smistad, A. Elster, F. Lindseth, A. Foruzan, R. Kiros, K. Popuri, D. Cobzas, D. Jimenez-Carretero, A. Santos, M. Ledesma-Carbayo, M. Helmberger, M. Urschler, M. Pienn, D. Bosboom, A. Campo, M. Prokop, P. de Jong, C. Ortiz-de-Solorzano, A. Muñoz-Barrutia and B. van Ginneken, "Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: The VESSEL12 study", Medical Image Analysis, 2014;18:1217-1232.
    Abstract DOI PMID Cited by ~104 Download
  444. F. Mohamed Hoesein, P. de Jong, J. Lammers, W. Mali, O. Mets, M. Schmidt, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, B. van Ginneken, E. van Rikxoort and P. Zanen, "Contribution of CT Quantified Emphysema, Air Trapping and Airway Wall Thickness on Pulmonary Function in Male Smokers With and Without COPD", COPD, 2014;11(5):503-509.
    Abstract DOI PMID Cited by ~43
  445. T. Kockelkorn, C. Schaefer-Prokop, G. Bozovic, A. Muñoz-Barrutia, E. van Rikxoort, M. Brown, P. de Jong, M. Viergever and B. van Ginneken, "Interactive lung segmentation in abnormal human and animal chest CT scans", Medical Physics, 2014;41(8):081915.
    Abstract DOI PMID Cited by ~10 Download
  446. J. Melendez, C. Sánchez, B. van Ginneken and N. Karssemeijer, "Improving mass candidate detection in mammograms via feature maxima propagation and local feature selection", Medical Physics, 2014;41(8):081904.
    Abstract DOI PMID Cited by ~7 Download
  447. P. Maduskar, L. Hogeweg, P. de Jong, L. Peters-Bax, R. Dawson, H. Ayles, C. Sánchez and B. van Ginneken, "Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming", Medical Physics, 2014;41(7):071912-1 - 071912-15.
    Abstract DOI PMID Cited by ~2 Download
  448. R. van den Boom, R. Manniesing, M. Oei, W. van der Woude, E. Smit, H. Laue, B. van Ginneken and M. Prokop, "A 4D Digital Phantom for Patient-Specific Simulation of Brain CT Perfusion Protocols", Medical Physics, 2014;41:071907-1 - 071907-9.
    Abstract DOI PMID Cited by ~5 Download
  449. G. Deslee, K. Klooster, M. Hetzel, F. Stanzel, R. Kessler, C. Marquette, C. Witt, S. Blaas, W. Gesierich, F. Herth, J. Hetzel, E. van Rikxoort and D. Slebos, "Lung volume reduction coil treatment for patients with severe emphysema: a European multicentre trial", Thorax, 2014;69(11):980-986.
    Abstract DOI PMID Cited by ~147
  450. C. Schaefer-Prokop, H. Prosch and M. Prokop, "[Lung cancer screening. What have we learnt for the practice so far?]", Radiologe, 2014;54(5):462-469.
    Abstract DOI PMID Cited by ~4
  451. G. Litjens, O. Debats, J. Barentsz, N. Karssemeijer and H. Huisman, "Computer-aided detection of prostate cancer in MRI", IEEE Transactions on Medical Imaging, 2014;33(5):1083-1092.
    Abstract DOI PMID Cited by ~234 Download
  452. S. Dettmer, L. Peters, C. de Wall, C. Schaefer-Prokop, M. Schmidt, G. Warnecke, J. Gottlieb, F. Wacker and H. Shin, "Bronchial wall measurements in patients after lung transplantation: evaluation of the diagnostic value for the diagnosis of bronchiolitis obliterans syndrome", PLoS One, 2014;9(4):e93783.
    Abstract DOI PMID
  453. O. Gishti, R. Gaillard, R. Manniesing, M. Abrahamse-Berkeveld, E. van der Beek, D. Heppe, E. Steegers, A. Hofman, L. Duijts, B. Durmus and V. Jaddoe, "Fetal and infant growth patterns associated with total and abdominal fat distribution in school-age children", Journal of Clinical Endocrinology and Metabolism, 2014;99(7):2557-2566.
    Abstract DOI PMID Cited by ~60
  454. M. Muyoyeta, P. Maduskar, M. Moyo, N. Kasese, D. Milimo, R. Spooner, N. Kapata, L. Hogeweg, B. van Ginneken and H. Ayles, "The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia", PLoS One, 2014;9(4):e93757.
    Abstract DOI PMID Cited by ~63
  455. R. Mann, R. Mus, J. van Zelst, C. Geppert, N. Karssemeijer and B. Platel, "A Novel Approach to Contrast-Enhanced Breast Magnetic Resonance Imaging for Screening: High-Resolution Ultrafast Dynamic Imaging", Investigative Radiology, 2014;49(9):579-585.
    Abstract DOI PMID Cited by ~113
  456. S. Schalekamp, B. van Ginneken, E. Koedam, M. Snoeren, A. Tiehuis, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images", Radiology, 2014;272(1):252-261.
    Abstract DOI PMID Cited by ~35
  457. S. Schalekamp, B. van Ginneken, E. Koedam, M. Snoeren, A. Tiehuis, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Computer aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone suppressed images", Radiology, 2014;272(1):252-261.
    Abstract DOI PMID Download
  458. S. Schalekamp, B. van Ginneken, B. Heggelman, M. Imhof-Tas, I. Somers, M. Brink, M. Spee, C. Schaefer-Prokop and N. Karssemeijer, "New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs", British Journal of Radiology, 2014;87(1036):20140015.
    Abstract DOI PMID Cited by ~8 Download
  459. B. Durmus, D. Heppe, O. Gishti, R. Manniesing, M. Abrahamse-Berkeveld, E. van der Beek, A. Hofman, L. Duijts, R. Gaillard and V. Jaddoe, "General and abdominal fat outcomes in school-age children associated with infant breastfeeding patterns", American Journal of Clinical Nutrition, 2014;12(6):1351-1358.
    Abstract DOI PMID Cited by ~54
  460. S. Muenzing, B. van Ginneken, M. Viergever and J. Pluim, "DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration", Medical Image Analysis, 2014;18(3):449-459.
    Abstract DOI PMID Cited by ~28 Download
  461. J. Bozek, M. Kallenberg, M. Grgic and N. Karssemeijer, "Use of volumetric features for temporal comparison of mass lesions in full field digital mammograms", Medical Physics, 2014;41(2):021902.
    Abstract DOI PMID Cited by ~1
  462. S. Schalekamp, B. van Ginneken, N. Karssemeijer and C. Schaefer-Prokop, "Chest radiography: new technological developments and their applications", Seminars in Respiratory and Critical Care Medicine, 2014;35(1):3-16.
    Abstract DOI PMID Cited by ~16 Download
  463. A. Gubern-Mérida, M. Kallenberg, B. Platel, R. Mann, R. Marti and N. Karssemeijer, "Volumetric breast density estimation from Full-Field Digital Mammograms: A validation study", PLoS One, 2014;9(1):e85952.
    Abstract DOI PMID Cited by ~111
  464. B. Durmus, D. Heppe, H. Taal, R. Manniesing, H. Raat, A. Hofman, E. Steegers, R. Gaillard and V. Jaddoe, "Parental Smoking During Pregnancy and Total and Abdominal Fat Distribution in School-age Children: the Generation R Study", International Journal of Obesity, 2014;38(7):966-972.
    Abstract DOI PMID Cited by ~24
  465. C. Jacobs, E. van Rikxoort, T. Twellmann, E. Scholten, P. de Jong, J. Kuhnigk, M. Oudkerk, H. de Koning, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Automatic Detection of Subsolid Pulmonary Nodules in Thoracic Computed Tomography Images", Medical Image Analysis, 2014;18:374-384.
    Abstract DOI PMID Cited by ~164 Download
  466. G. Litjens, R. Toth, W. van de Ven, C. Hoeks, S. Kerkstra, B. van Ginneken, G. Vincent, G. Guillard, N. Birbeck, J. Zhang, R. Strand, F. Malmberg, Y. Ou, C. Davatzikos, M. Kirschner, F. Jung, J. Yuan, W. Qiu, Q. Gao, P. Edwards, B. Maan, F. van der Heijden, S. Ghose, J. Mitra, J. Dowling, D. Barratt, H. Huisman and A. Madabhushi, "Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge", Medical Image Analysis, 2014;18(2):359-373.
    Abstract DOI PMID Cited by ~275 Download
  467. B. Platel, R. Mus, T. Welte, N. Karssemeijer and R. Mann, "Automated Characterization of Breast Lesions Imaged with an Ultrafast DCE-MR Protocol", IEEE Transactions on Medical Imaging, 2014:225-232.
    Abstract DOI PMID Cited by ~49
  468. F. Mohamed Hoesein, M. Schmidt, O. Mets, H. Gietema, J. Lammers, P. Zanen, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, I. Išgum, M. Prokop, B. van Ginneken, E. van Rikxoort and P. de Jong, "Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD", Respiratory Medicine, 2014;108:136-143.
    Abstract DOI PMID Cited by ~26
  469. S. Balocco, C. Gatta, F. Ciompi, A. Wahle, P. Radeva, S. Carlier, G. Unal, E. Sanidas, J. Mauri, X. Carillo, T. Kovarnik, C. Wang, H. Chen, T. Exarchos, D. Fotiadis, F. Destrempes, G. Cloutier, O. Pujol, M. Alberti, E. Mendizabal-Ruiz, M. Rivera, T. Aksoy, R. Downe and I. Kakadiaris, "Standardized evaluation methodology and reference database for evaluating IVUS image segmentation", Computerized Medical Imaging and Graphics, 2014;38:70-90.
    Abstract DOI PMID Cited by ~88
  470. P. Ciet, P. Wielopolski, R. Manniesing, S. Lever, M. De Bruijne, G. Morana, P. Muzzio, M. Lequin and H. Tiddens, "Spirometer-controlled Cine-Magnetic Resonance Imaging for Diagnosis of Tracheobronchomalacia in Pediatric Patients", European Respiratory Journal, 2014;43(1):115-124.
    Abstract DOI PMID
  471. A. Poncela and L. Gallardo-Estrella, "Command-based voice teleoperation of a mobile robot via a human-robot interface", Robotica, 2014:1-18.
    Abstract DOI
  472. S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, "Influence of study design in receiver operating characteristics studies: sequential versus independent reading", Journal of Medical Imaging, 2014;1(1):015501-015501.
    Abstract DOI Cited by ~6
  473. H. Liu, T. Tan, J. van Zelst, R. Mann, N. Karssemeijer and B. Platel, "Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound", Journal of Medical Imaging, 2014;1(2):024501-024501.
    Abstract DOI Cited by ~19
  474. L. Louzao Martinez, E. Friedlander, J. van der Laak and K. Hebeda, "Abundance of IgG4+ Plasma Cells in Isolated Reactive Lymphadenopathy Is No Indication of IgG4-Related Disease", American Journal of Clinical Pathology, 2014;142(4):459-466.
    Abstract DOI Cited by ~20
  475. S. van der Wal, M. Vaneker, M. Steegers, V. B, M. Kox, J. van der Laak, J. van der Hoeven, K. Vissers and G. Scheffer, "Lidocaine increases the anti-inflammatory cytokine IL-10 following mechanical ventilation in healthy mice", Acta Anaesthesiologica Scandinavica, 2014;59:47-55.
    Abstract DOI Cited by ~22
  476. F. Ciompi, O. Pujol and P. Radeva, "ECOC-DRF: Discriminative Random Fields based on Error-Correcting Output Codes", Pattern Recognition, 2014;47:2193-2204.
    Abstract DOI Cited by ~5 Download
  477. A. Bria, N. Karssemeijer and F. Tortorella, "Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications", Medical Image Analysis, 2013;18(2):241-252.
    Abstract DOI PMID Cited by ~64
  478. E. Scholten, B. de Hoop, C. Jacobs, S. van de Amelsvoort-van Vorst, R. van Klaveren, M. Oudkerk, R. Vliegenthart, H. de Koning, C. van der Aalst, W. Mali, H. Gietema, M. Prokop, B. van Ginneken and P. de Jong, "Semi-automatic quantification of subsolid pulmonary nodules: comparison with manual measurements", PLoS One, 2013;8(11):e80249.
    Abstract DOI PMID Cited by ~17 Download
  479. P. Maduskar, M. Muyoyeta, H. Ayles, L. Hogeweg, L. Peters-Bax and B. van Ginneken, "Detection of tuberculosis with digital chest radiography: automatic reading versus interpretation by clinical officers", International Journal of Tuberculosis and Lung Disease, 2013;17(12):1613-1620.
    Abstract DOI PMID Download
  480. T. Tan, B. Platel, T. Twellmann, G. van Schie, R. Mus, A. Grivegnée, R. Mann and N. Karssemeijer, "Evaluation of the Effect of Computer-Aided Classification of Benign and Malignant Lesions on Reader Performance in Automated Three-dimensional Breast Ultrasound", Academic Radiology, 2013;20(11):1381-1388.
    Abstract DOI PMID Cited by ~26
  481. S. Schalekamp, B. van Ginneken, L. Meiss, L. Peters-Bax, L. Quekel, M. Snoeren, A. Tiehuis, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs", European Journal of Radiology, 2013;82(12):2399-2405.
    Abstract DOI PMID Cited by ~19 Download
  482. G. van Schie, R. Mann, M. Imhof-Tas and N. Karssemeijer, "Generating synthetic mammograms from reconstructed tomosynthesis volumes", IEEE Transactions on Medical Imaging, 2013;32(12):2322-2331.
    Abstract DOI PMID Cited by ~40
  483. J. Huo, K. Okada, E. van Rikxoort, H. Kim, J. Alger, W. Pope, J. Goldin and M. Brown, "Ensemble segmentation for GBM brain tumors on MR images using confidence-based averaging", Medical Physics, 2013;40(9):093502.
    Abstract DOI PMID Cited by ~13
  484. E. van Rikxoort and B. van Ginneken, "Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review", Physics in Medicine and Biology, 2013;58:R187-R220.
    Abstract DOI PMID Cited by ~101 Download
  485. W. van de Ven and J. Barentsz, "Prostate cancer: MRI/US-guided biopsy -- a viable alternative to TRUS-guidance", Nature Reviews Urology, 2013;10:559-560.
    Abstract DOI PMID
  486. E. Scholten, C. Jacobs, B. van Ginneken, M. Willemink, J. Kuhnigk, P. van Ooijen, M. Oudkerk, W. Mali and P. de Jong, "Computer-Aided Segmentation and Volumetry of Artificial Ground-Glass Nodules at Chest CT", American Journal of Roentgenology, 2013;201(2):295-300.
    Abstract DOI PMID Cited by ~29 Download
  487. L. Hogeweg, C. Sánchez and B. van Ginneken, "Suppression of translucent elongated structures: applications in chest radiography", IEEE Transactions on Medical Imaging, 2013;32(11):2099-2113.
    Abstract DOI PMID Cited by ~17 Download
  488. H. Prosch and C. Schaefer-Prokop, "[Radiological evaluation of incidental pulmonary nodules]", Radiologe, 2013;53(7):623-638.
    Abstract DOI PMID
  489. N. Horeweg, C. van der Aalst, R. Vliegenthart, Y. Zhao, X. Xie, E. Scholten, W. Mali, E. Thunnissen, C. Weenink, H. Groen, J. Lammers, K. Nackaerts, J. van Rosmalen, M. Oudkerk and H. de Koning, "Volumetric computed tomography screening for lung cancer: three rounds of the NELSON trial", European Respiratory Journal, 2013;42(6):1659-1667.
    Abstract DOI PMID
  490. L. Hogeweg, C. Sánchez, J. Melendez, P. Maduskar, A. Story, A. Hayward and B. van Ginneken, "Foreign object detection and removal to improve automated analysis of chest radiographs", Medical Physics, 2013;40(7):071901.
    Abstract DOI PMID Cited by ~6 Download
  491. F. Mohamed Hoesein, P. de Jong, J. Lammers, W. Mali, M. Schmidt, H. de Koning, C. van der Aalst, M. Oudkerk, R. Vliegenthart, B. van Ginneken, E. van Rikxoort and P. Zanen, "Computed tomography structural lung changes in discordant airflow obstruction", PLoS One, 2013;8(6):e65177.
    Abstract DOI PMID
  492. O. Mets, R. Vliegenthart, M. Gondrie, M. Viergever, M. Oudkerk, H. de Koning, W. Mali, M. Prokop, R. van Klaveren, Y. van der Graaf, C. Buckens, P. Zanen, J. Lammers, H. Groen, I. Išgum and P. de Jong, "Lung Cancer Screening CT-Based Prediction of Cardiovascular Events", JACC Cardiovascular Imaging, 2013;6:899-907.
    Abstract DOI PMID Cited by ~69
  493. E. Smit, E. Vonken, T. van Seeters, J. Dankbaar, I. van der Schaaf, L. Kappelle, B. van Ginneken, B. Velthuis and M. Prokop, "Timing-Invariant Imaging of Collateral Vessels in Acute Ischemic Stroke", Stroke, 2013;44:2194-2199.
    Abstract DOI PMID Cited by ~95 Download
  494. E. Vos, G. Litjens, T. Kobus, T. Hambrock, C. Kaa, J. Barentsz, H. Huisman and T. Scheenen, "Assessment of Prostate Cancer Aggressiveness Using Dynamic Contrast-enhanced Magnetic Resonance Imaging at 3T", European Urology, 2013;64:448-455.
    Abstract PMID Url Cited by ~150 Download
  495. O. Mets, M. Schmidt, C. Buckens, M. Gondrie, I. Išgum, M. Oudkerk, R. Vliegenthart, H. de Koning, C. van der Aalst, M. Prokop, J. Lammers, P. Zanen, F. Mohamed Hoesein, W. Mali, B. van Ginneken, E. van Rikxoort and P. de Jong, "Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening", Respiratory Research, 2013;14(1):59.
    Abstract DOI PMID Cited by ~51
  496. T. Tan, B. Platel, R. Mus, L. Tabar, R. Mann and N. Karssemeijer, "Computer-aided Detection of Cancer in Automated 3D Breast Ultrasound", IEEE Transactions on Medical Imaging, 2013;32:1698-1706.
    Abstract DOI PMID Cited by ~70
  497. F. Mohamed Hoesein, P. Zanen, P. de Jong, B. van Ginneken, H. Boezen, H. Groen, M. Oudkerk, H. de Koning, D. Postma and J. Lammers, "Rate of progression of CT-quantified emphysema in male current and ex-smokers: a follow-up study", Respiratory Research, 2013;14(1):55.
    Abstract DOI PMID Cited by ~24
  498. M. Giger, N. Karssemeijer and J. Schnabel, "Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer", Annual Review of Biomedical Engineering, 2013;15:327-57.
    Abstract DOI PMID Cited by ~149
  499. O. Mets, P. de Jong, B. van Ginneken, C. Kruitwagen, M. Prokop, M. Oudkerk, J. Lammers and P. Zanen, "CT Air Trapping Is Independently Associated with Lung Function Reduction over Time", PLoS One, 2013;8(4):e61783.
    Abstract DOI PMID Cited by ~13
  500. R. Hameeteman, S. Rozie, C. Metz, R. Manniesing, T. van Walsum, A. van der Lugt, W. Niessen and S. Klein, "Automated Carotid Artery Distensibility Measurements from CTA using Nonrigid Registration", Medical Image Analysis, 2013;17:515-24.
    Abstract DOI PMID
  501. E. Scholten, W. Mali, M. Prokop, B. van Ginneken, R. Glandorf, R. van Klaveren, M. Oudkerk and P. de Jong, "Non-solid lung nodules on low-dose computed tomography: comparison of detection rate between 3 visualization techniques", Cancer Imaging, 2013;13(2):150-154.
    Abstract DOI PMID Cited by ~7
  502. M. van Grinsven, Y. Lechanteur, J. van de Ven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic Drusen Quantification and Risk Assessment of Age-related Macular Degeneration on Color Fundus Images", Investigative Ophthalmology and Visual Science, 2013;54(4):3019-3027.
    Abstract DOI PMID Cited by ~30 Download
  503. G. van Schie, M. Wallis, K. Leifland, M. Danielsson and N. Karssemeijer, "Mass detection in reconstructed digital breast tomosynthesis volumes with a computer-aided detection system trained on 2D mammograms", Medical Physics, 2013;40(4):041902.
    Abstract DOI PMID Cited by ~38
  504. N. Fens, A. van Rossum, P. Zanen, B. van Ginneken, R. van Klaveren, A. Zwinderman and P. Sterk, "Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey", COPD, 2013;10:277-285.
    Abstract DOI PMID Cited by ~33 Download
  505. M. Velikova, P. Lucas, M. Samulski and N. Karssemeijer, "On the interplay of machine learning and background knowledge in image interpretation by Bayesian Networks", Artificial Intelligence in Medicine, 2013;57:73AC/a,!aEURoe86.
    Abstract DOI PMID Cited by ~36
  506. A. Dijkstra, D. Postma, N. Ten Hacken, J. Vonk, M. Oudkerk, P. van Ooijen, P. Zanen, F. Mohamed Hoesein, B. van Ginneken, M. Schmidt and H. Groen, "Low-dose CT measurements of airway dimensions and emphysema associated with airflow limitation in heavy smokers: a cross sectional study", Respiratory Research, 2013;14(11):1-9.
    Abstract DOI PMID Cited by ~33
  507. N. Horeweg, C. van der Aalst, E. Thunnissen, K. Nackaerts, C. Weenink, H. Groen, J. Lammers, J. Aerts, E. Scholten, J. van Rosmalen, W. Mali, M. Oudkerk and H. de Koning, "Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial", American Journal of Respiratory and Critical Care Medicine, 2013;187(8):848-854.
    Abstract DOI PMID
  508. K. Nagel, M. Schouten, T. Hambrock, G. Litjens, C. Hoeks, B. Haken, J. Barentsz and J. Fütterer, "Differentiation of Prostatitis and Prostate Cancer by Using Diffusion-weighted MR Imaging and MR-guided Biopsy at 3 T", RADIOLOGY, 2013;267:164-172.
    Abstract DOI PMID Download
  509. T. Tan, B. Platel, R. Mann, H. Huisman and N. Karssemeijer, "Chest Wall Segmentation in Automated 3D Breast Ultrasound Scans", Medical Image Analysis, 2013;17:1273AC/a,!aEURoe1281.
    Abstract DOI PMID Cited by ~19
  510. H. Prosch, C. Schaefer-Prokop, E. Eisenhuber, D. Kienzl and C. Herold, "CT protocols in interstitial lung diseases-A survey among members of the European Society of Thoracic Imaging and a review of the literature", European Radiology, 2013;33:1553-1563.
    Abstract DOI PMID
  511. T. Hambrock, P. Vos, C. de Hulsbergen-van Kaa, J. Barentsz and H. Huisman, "Prostate Cancer: Computer-aided Diagnosis with Multiparametric 3-T MR Imaging--Effect on Observer Performance", Radiology, 2013;266:521-530.
    Abstract DOI PMID Cited by ~92
  512. W. van de Ven, C. de Hulsbergen-van Kaa, T. Hambrock, J. Barentsz and H. Huisman, "Simulated required accuracy of image registration tools for targeting high-grade cancer components with prostate biopsies", European Radiology, 2013;23(5):1401-1407.
    Abstract DOI PMID Cited by ~40
  513. R. Hupse, M. Samulski, M. Lobbes, R. Mann, R. Mus, G. den Heeten, D. Beijerinck, R. Pijnappel, C. Boetes and N. Karssemeijer, "Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts", Radiology, 2013;266:123-129.
    Abstract DOI PMID Cited by ~45
  514. A. Srikantha, M. Harz, L. Wang, B. Platel, R. Mann, H. Hahn and H. Peitgen, "Symmetry-based detection of ductal carcinoma in situ in breast MRI", European Journal of Radiology, 2013;81 Suppl 1:S158-S159.
    Abstract DOI PMID Cited by ~2
  515. D. Naidich, A. Bankier, H. MacMahon, C. Schaefer-Prokop, M. Pistolesi, J. Goo, P. Macchiarini, J. Crapo, C. Herold, J. Austin and W. Travis, "Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society", Radiology, 2013;266(1):304-317.
    Abstract DOI PMID
  516. B. Lassen, E. van Rikxoort, M. Schmidt, S. Kerkstra, B. van Ginneken and J. Kuhnigk, "Automatic segmentation of the pulmonary lobes from chest CT scans based on fissures, vessels, and bronchi", IEEE Transactions on Medical Imaging, 2013;32(2):210-222.
    Abstract DOI PMID Cited by ~105
  517. A. Firouzian, R. Manniesing, C. Metz, R. Risselada, S. Klein, F. van Kooten, M. Sturkenboom, A. van der Lugt and W. Niessen, "Quantification of Intracranial Aneurysm Morphodynamics from ECG-gated CT Angiography", Academic Radiology, 2013;20(1):52-58.
    Abstract DOI PMID Cited by ~17
  518. R. Hupse, M. Samulski, M. Lobbes, A. den Heeten, M. Imhof-Tas, D. Beijerinck, R. Pijnappel, C. Boetes and N. Karssemeijer, "Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses", European Radiology, 2013;23:93-100.
    Abstract DOI PMID Cited by ~17
  519. R. Brecheisen, B. Platel, B. ter Romeny and A. Vilanova, "Illustrative uncertainty visualization of DTI fiber pathways", Visual Computer, 2013;29:297-309.
    Abstract DOI Cited by ~21
  520. N. Lessmann, D. Dromann and A. Schlaefer, "Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy", International Journal of Computer Assisted Radiology and Surgery, 2013;9:199-209.
    Abstract DOI
  521. R. van der Post, J. van der Laak, B. Sturm, R. Clarijs, E. Schaafsma, H. van Krieken and M. Nap, "The evaluation of colon biopsies using virtual microscopy is reliable", Histopathology, 2013;63:114-121.
    Abstract DOI Cited by ~21
  522. O. Mets, P. Zanen, J. Lammers, I. Išgum, H. Gietema, B. van Ginneken, M. Prokop and P. de Jong, "Early Identification of Small Airways Disease on Lung Cancer Screening CT: Comparison of Current Air Trapping Measures", Lung, 2012;190:629-633.
    Abstract DOI PMID Cited by ~52
  523. A. Bluekens, R. Holland, N. Karssemeijer, M. Broeders and G. den Heeten, "Comparison of Digital Screening Mammography and Screen-Film Mammography in the Early Detection of Clinically Relevant Cancers: A Multicenter Study", Radiology, 2012;265:707-714.
    Abstract DOI PMID Cited by ~115
  524. L. Hogeweg, C. Sánchez, P. de Jong, P. Maduskar and B. van Ginneken, "Clavicle segmentation in chest radiographs", Medical Image Analysis, 2012;16(8):1490 - 1502.
    Abstract DOI PMID Cited by ~45 Download
  525. S. Muenzing, B. van Ginneken, K. Murphy and J. Pluim, "Supervised Quality Assessment Of Medical Image Registration: Application to intra-patient CT lung registration", Medical Image Analysis, 2012;16:1521-1531.
    Abstract DOI PMID Cited by ~43 Download
  526. I. Išgum, M. Prokop, M. Niemeijer, M. Viergever and B. van Ginneken, "Automatic coronary calcium scoring in low-dose chest computed tomography", IEEE Transactions on Medical Imaging, 2012;31:2322 - 2334.
    Abstract DOI PMID Cited by ~83 Download
  527. B. de Hoop, B. van Ginneken, H. Gietema and M. Prokop, "Pulmonary Perifissural Nodules on CT Scans: Rapid Growth Is Not a Predictor of Malignancy", Radiology, 2012;265(2):611-616.
    Abstract DOI PMID Cited by ~117 Download
  528. G. Litjens, T. Hambrock, C. de Hulsbergen-van Kaa, J. Barentsz and H. Huisman, "Interpatient Variation in Normal Peripheral Zone Apparent Diffusion Coefficient: Effect on the Prediction of Prostate Cancer Aggressiveness", Radiology, 2012;265(1):260-266.
    Abstract DOI PMID Cited by ~60 Download
  529. P. Lo, B. van Ginneken, J. Reinhardt, Y. Tarunashree, P. de Jong, B. Irving, C. Fetita, M. Ortner, R. Pinho, J. Sijbers, M. Feuerstein, A. Fabijanska, C. Bauer, R. Beichel, C. Mendoza, R. Wiemker, J. Lee, A. Reeves, S. Born, O. Weinheimer, E. van Rikxoort, J. Tschirren, K. Mori, B. Odry, D. Naidich, I. Hartmann, E. Hoffman, M. Prokop, J. Pedersen and M. de Bruijne, "Extraction of Airways from CT (EXACT'09)", IEEE Transactions on Medical Imaging, 2012;31(11):2093-2107.
    Abstract DOI PMID Cited by ~187 Download
  530. F. Ciompi, O. Pujol, C. Gatta, M. Alberti, S. Balocco, X. Carrillo, J. Mauri-Ferre and P. Radeva, "HoliMAb: A holistic approach for Media--Adventitia border detection in intravascular ultrasound", Medical Image Analysis, 2012.
    Abstract PMID Url Cited by ~53
  531. J. Lesniak, R. Hupse, R. Blanc, N. Karssemeijer and G. Székely, "Comparative evaluation of support vector machine classification for computer aided detection of breast masses in mammography", Physics in Medicine and Biology, 2012;57(16):5295-5307.
    Abstract DOI PMID Cited by ~22
  532. T. Kobus, P. Vos, T. Hambrock, M. De Rooij, C. de Hulsbergen-Van Kaa, J. Barentsz, A. Heerschap and T. Scheenen, "Prostate Cancer Aggressiveness: In Vivo Assessment of MR Spectroscopy and Diffusion-weighted Imaging at 3 T", Radiology, 2012;265:457-467.
    Abstract DOI PMID
  533. M. Kallenberg, C. van Gils, M. Lokate, G. den Heeten and N. Karssemeijer, "Effect of compression paddle tilt correction on volumetric breast density estimation", Physics in Medicine and Biology, 2012;57(16):5155-5168.
    Abstract DOI PMID Cited by ~32
  534. O. Mets, R. van Hulst, C. Jacobs, B. van Ginneken and P. de Jong, "Normal Range of Emphysema and Air Trapping on CT in Young Men", American Journal of Roentgenology, 2012;199(2):336-340.
    Abstract DOI PMID Cited by ~35
  535. M. Stoutjesdijk, M. Zijp, C. Boetes, N. Karssemeijer, J. Barentsz and H. Huisman, "Computer aided analysis of breast MRI enhancement kinetics using mean shift c lustering and multifeature iterative region of interest selection", Journal of Magnetic Resonance Imaging, 2012;36:1104-1112.
    Abstract DOI PMID Cited by ~8 Download
  536. E. Brunenberg, P. Moeskops, W. Backes, C. Pollo, L. Cammoun, A. Vilanova, M. Janssen, V. Visser-Vandewalle, B. Haar Ter Romeny, J. Thiran and B. Platel, "Structural and Resting State Functional Connectivity of the Subthalamic Nucleus: Identification of Motor STN Parts and the Hyperdirect Pathway", PLoS One, 2012;7(6):e39061.
    Abstract DOI PMID Cited by ~97
  537. F. Mohamed Hoesein, P. Zanen, H. Boezen, H. Groen, B. van Ginneken, P. de Jong, D. Postma and J. Lammers, "Lung function decline in heavy male smokers relates to baseline airflow obstruction severity", Chest, 2012;142(6):1530-1538.
    Abstract DOI PMID Download
  538. A. Mendrik, E. Vonken, G. de Kort, B. van Ginneken, E. Smit, M. Viergever and M. Prokop, "Improved Arterial Visualization in Cerebral CT Perfusion-Derived Arteriograms Compared with Standard CT Angiography: A Visual Assessment Study", American Journal of Neuroradiology, 2012;33(11):2171-2177.
    Abstract DOI PMID Cited by ~11 Download
  539. M. Leach, B. Morgan, P. Tofts, D. Buckley, W. Huang, M. Horsfield, T. Chenevert, D. Collins, A. Jackson, D. Lomas, B. Whitcher, L. Clarke, R. Plummer, I. Judson, R. Jones, R. Alonzi, T. Brunner, D. Koh, P. Murphy, J. Waterton, G. Parker, M. Graves, T. Scheenen, T. Redpath, M. Orton, G. Karczmar, H. Huisman, J. Barentsz, A. Padhani and E. on behalf of the Committee, "Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging", European Radiology, 2012;22(7):1451-1464.
    Abstract PMID Url Cited by ~139 Download
  540. H. Meijer, O. Debats, M. Roach 3rd, P. Span, J. Witjes, J. Kaanders, E. van Lin and J. Barentsz, "Magnetic Resonance Lymphography Findings in Patients With Biochemical Recurrence After Prostatectomy and the Relation With the Stephenson Nomogram", International Journal of Radiation Oncology, Biology, Physics, 2012;84(5):1186-1191.
    Abstract DOI PMID
  541. T. Mertzanidou, J. Hipwell, M. Cardoso, X. Zhang, C. Tanner, S. Ourselin, U. Bick, H. Huisman, N. Karssemeijer and D. Hawkes, "MRI to X-ray mammography registration using a volume-preserving affine transformation", Medical Image Analysis, 2012;16(5):966-975.
    Abstract DOI PMID Cited by ~26 Download
  542. D. De Boo, F. van Hoorn, J. van Schuppen, L. Schijf, M. Scheerder, N. Freling, O. Mets, M. Weber and C. Schaefer-Prokop, "Observer training for computer-aided detection of pulmonary nodules in chest radiography", European Radiology, 2012;22(8):1659-1664.
    Abstract DOI PMID
  543. A. Fortuin, W. Deserno, H. Meijer, G. Jager, S. Takahashi, O. Debats, S. Reske, C. Schick, B. Krause, I. van Oort, A. Witjes, Y. Hoogeveen, E. van Th Lin and J. Barentsz, "Value of PET/CT and MR Lymphography in Treatment of Prostate Cancer Patients with Lymph Node Metastases", International Journal of Radiation Oncology, Biology, Physics, 2012;84:712-718.
    Abstract DOI PMID
  544. E. Eisenhuber, C. Schaefer-Prokop, H. Prosch and W. Schima, "Bedside chest radiography", Respiratory Care, 2012;57(3):427-443.
    Abstract DOI PMID
  545. P. Vos, J. Barentsz, N. Karssemeijer and H. Huisman, "Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis", Physics in Medicine and Biology, 2012;57(6):1527-1542.
    Abstract DOI PMID Cited by ~119 Download
  546. K. Murphy, J. Pluim, E. van Rikxoort, P. de Jong, B. de Hoop, H. Gietema, O. Mets, M. de Bruijne, P. Lo, M. Prokop and B. van Ginneken, "Toward automatic regional analysis of pulmonary function using inspiration and expiration thoracic CT", Medical Physics, 2012;39(3):1650-1662.
    Abstract DOI PMID Cited by ~49 Download
  547. P. Jacobs, M. Gondrie, Y. van der Graaf, H. de Koning, I. Išgum, B. van Ginneken and W. Mali, "Coronary Artery Calcium Can Predict All-Cause Mortality and Cardiovascular Events on Low-Dose CT Screening for Lung Cancer", American Journal of Roentgenology, 2012;198(3):505-511.
    Abstract DOI PMID Cited by ~101 Download
  548. E. Smit, E. Vonken, I. van der Schaaf, A. Mendrik, J. Dankbaar, A. Horsch, T. van Seeters, B. van Ginneken and M. Prokop, "Timing-Invariant Reconstruction for Deriving High-quality CT Angiographic Data from Cerebral CT Perfusion Data", Radiology, 2012;263:216-225.
    Abstract DOI PMID Cited by ~61 Download
  549. M. Velikova, P. Lucas, M. Samulski and N. Karssemeijer, "A probabilistic framework for image information fusion with an application to mammographic analysis", Medical Image Analysis, 2012;16:865-875.
    Abstract DOI PMID Cited by ~30
  550. F. Mohamed Hoesein, E. van Rikxoort, B. van Ginneken, P. de Jong, M. Prokop, J. Lammers and P. Zanen, "CT-quantified emphysema distribution is associated with lung function decline", European Respiratory Journal, 2012;40(4):844-850.
    Abstract DOI PMID Cited by ~49 Download
  551. T. Tan, B. Platel, H. Huisman, C. Sánchez, R. Mus and N. Karssemeijer, "Computer Aided Lesion Diagnosis in Automated 3D Breast Ultrasound Using Coronal Spiculation", IEEE Transactions on Medical Imaging, 2012;31(5):1034-1042.
    Abstract DOI PMID Cited by ~75 Download
  552. M. Kallenberg and N. Karssemeijer, "Compression paddle tilt correction in full-field digital mammograms", Physics in Medicine and Biology, 2012;57(3):703-715.
    Abstract DOI PMID Cited by ~20
  553. M. Alberti, S. Balocco, C. Gatta, F. Ciompi, O. Pujol, J. Silva, X. Carrillo and P. Radeva, "Automatic bifurcation detection in coronary IVUS sequences", IEEE Transactions on Biomedical Engineering, 2012;59(4):1022-1031.
    Abstract DOI PMID Cited by ~42
  554. R. Wittenberg, F. Berger, J. Peters, M. Weber, F. van Hoorn, L. Beenen, M. van Doorn, J. van Schuppen, I. Zijlstra, M. Prokop and C. Schaefer-Prokop, "Acute pulmonary embolism: effect of a computer-assisted detection prototype on diagnosis--an observer study", Radiology, 2012;262(1):305-313.
    Abstract DOI PMID Cited by ~31
  555. P. Boiselle, L. Goodman, D. Litmanovich, M. Rémy-Jardin and C. Schaefer-Prokop, "Expert opinion: CT pulmonary angiography in pregnant patients with suspected pulmonary embolism", Journal of Thoracic Imaging, 2012;27(1):5.
    Abstract DOI PMID
  556. O. Mets, P. de Jong, B. van Ginneken, H. Gietema and J. Lammers, "Quantitative Computed Tomography in COPD: Possibilities and Limitations", Lung, 2012;190:133-145.
    Abstract DOI PMID Cited by ~114
  557. D. Yakar, O. Debats, J. Bomers, M. Schouten, P. Vos, E. van Lin, J. Fütterer and J. Barentsz, "Predictive value of MRI in the localization, staging, volume estimation, assessment of aggressiveness, and guidance of radiotherapy and biopsies in prostate cancer", Journal of Magnetic Resonance Imaging, 2012;35(1):20-31.
    Abstract DOI PMID
  558. R. Wittenberg, J. Peters, M. Weber, R. Lely, L. Cobben, M. Prokop and C. Schaefer-Prokop, "Stand-alone performance of a computer-assisted detection prototype for detection of acute pulmonary embolism: a multi-institutional comparison", British Journal of Radiology, 2012;85(1014):758-764.
    Abstract DOI PMID Cited by ~11
  559. R. Visser, W. Veldkamp, D. Beijerinck, P. Bun, J. Deurenberg, M. Imhof-Tas, K. Schuur, M. Snoeren, G. den Heeten, N. Karssemeijer and M. Broeders, "Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography", European Radiology, 2012;22(4):908-914.
    Abstract DOI PMID Cited by ~19
  560. D. Chong, M. Brown, H. Kim, E. van Rikxoort, L. Guzman, M. McNitt-Gray, M. Khatonabadi, M. Galperin-Aizenberg, K. Yang, Y. Jung and J. Goldin, "Reproducibility of volume and densitometric measures of emphysema on repeat computed tomography with an interval of 1 week", European Radiology, 2012:287-294.
    Abstract DOI PMID Cited by ~22
  561. E. van Rikxoort, J. Goldin, F. Abtin, H. Kim, P. Lu, B. van Ginneken, G. Shaw, M. Galperin-Aizenberg and M. Brown, "A method for the automatic quantification of the completeness of pulmonary fissures: evaluation in a database of subjects with severe emphysema", European Radiology, 2012;22(2):302-309.
    Abstract DOI PMID Cited by ~58
  562. M. Schouten, J. Bomers, D. Yakar, H. Huisman, E. Rothgang, D. Bosboom, T. Scheenen, S. Misra and J. Fütterer, "Evaluation of a robotic technique for transrectal MRI-guided prostate biopsies", European Radiology, 2012;22:476-483.
    Abstract DOI PMID Cited by ~53
  563. T. Hambrock, C. Hoeks, C. de Hulsbergen-van Kaa, T. Scheenen, J. Fütterer, S. Bouwense, I. van Oort, F. Schröder, H. Huisman and J. Barentsz, "Prospective Assessment of Prostate Cancer Aggressiveness Using 3-T Diffusion-Weighted Magnetic Resonance Imaging-Guided Biopsies Versus a Systematic 10-Core Transrectal Ultrasound Prostate Biopsy Cohort", European Urology, 2012;61(1):177-184.
    Abstract DOI PMID Cited by ~324 Download
  564. O. Mets, K. Murphy, P. Zanen, H. Gietema, J. Lammers, B. van Ginneken, M. Prokop and P. de Jong, "The relationship between lung function impairment and quantitative computed tomography in chronic obstructive pulmonary disease", European Radiology, 2012;22(1):120-128.
    Abstract DOI PMID Cited by ~70
  565. C. Sánchez, M. Niemeijer, I. Išgum, A. Dumitrescu, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Contextual computer-aided detection: Improving bright lesion detection in retinal images and coronary calcification identification in CT scans", Medical Image Analysis, 2012;16(1):50-62.
    Abstract DOI PMID Cited by ~43 Download
  566. H. Meijer, E. van Lin, O. Debats, J. Witjes, P. Span, J. Kaanders and J. Barentsz, "High Occurrence of Aberrant Lymph Node Spread on Magnetic Resonance Lymphography in Prostate Cancer Patients with a Biochemical Recurrence After Radical Prostatectomy", International Journal of Radiation Oncology, Biology, Physics, 2012;82 (4):1405-1410.
    Abstract DOI PMID
  567. D. Vukadinovic, S. Rozie, M. van Gils, T. van Walsum, R. Manniesing, A. van der Lugt and W. Niessen, "Automated versus manual segmentation of atherosclerotic carotid plaque volume and components in CTA: associations with cardiovascular risk factors", International Journal of Cardiovascular Imaging, 2012;28:877-887.
    Abstract DOI PMID Cited by ~24
  568. R. Wittenberg, J. van Vliet, B. Ghaye, J. Peters, C. Schaefer-Prokop and E. Coche, "Comparison of automated 4-chamber cardiac views versus axial views for measuring right ventricular enlargement in patients with suspected pulmonary embolism", European Journal of Radiology, 2012;81(2):218-222.
    Abstract DOI PMID
  569. H. Meijer, O. Debats, M. Kunze-Busch, P. van Kollenburg, J. Leer, J. Witjes, J. Kaanders, J. Barentsz and E. van Lin, "Magnetic Resonance Lymphography-Guided Selective High-Dose Lymph Node Irradiation in Prostate Cancer", International Journal of Radiation Oncology, Biology, Physics, 2012;82(1):175-183.
    Abstract DOI PMID
  570. T. Roelofsen, L. van Kempen, J. van der Laak, M. van Ham, J. Bulten and L. Massuger, "Concurrent Endometrial Intraepithelial Carcinoma (EIC) and Serous Ovarian Cancer. Can EIC Be Seen as the Precursor Lesion?", International Journal of Gynaecological Cancer, 2012;22(3):457-464.
    Abstract DOI Cited by ~27
  571. B. van Ginneken, C. Schaefer-Prokop and M. Prokop, "Computer-aided Diagnosis: how to Move from the Laboratory to the Clinic", Radiology, 2011;261(3):719-732.
    Abstract DOI PMID Cited by ~197 Download
  572. A. Melbourne, J. Hipwell, M. Modat, T. Mertzanidou, H. Huisman, S. Ourselin and D. Hawkes, "The effect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI", Physics in Medicine and Biology, 2011;56(24):7693-7708.
    Abstract DOI PMID Cited by ~35 Download
  573. O. Debats, G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Automated 3-Dimensional Segmentation of Pelvic Lymph Nodes in Magnetic Resonance Images", Medical Physics, 2011;38(11):6178-6187.
    Abstract DOI PMID Cited by ~12 Download
  574. O. Mets, C. Buckens, P. Zanen, I. Išgum, B. van Ginneken, M. Prokop, H. Gietema, J. Lammers, R. Vliegenthart, M. Oudkerk, R. van Klaveren, H. de Koning, W. Mali and P. de Jong, "Identification of Chronic Obstructive Pulmonary Disease in Lung Cancer Screening Computed Tomographic Scans", Journal of the American Medical Association, 2011;306(16):1775-1781.
    Abstract DOI PMID Cited by ~122
  575. D. de Boo, M. Uffmann, S. Bipat, E. Boorsma, M. Scheerder, M. Weber and C. Schaefer-Prokop, "Gray-Scale Reversal for the Detection of Pulmonary Nodules on a PACS Workstation", American Journal of Roentgenology, 2011;197(5):1096-1100.
    Abstract DOI PMID
  576. X. Carrillo, E. Fernandez-Nofrerias, F. Ciompi, O. Rodriguez-Leor, P. Radeva, N. Salvatella, O. Pujol, J. Mauri and A. Bayes-Genis, "Changes in radial artery volume assessed using intravascular ultrasound: a comparison of two vasodilator regimens in transradial coronary interventions", Journal of Invasive Cardiology, 2011;23(10):401-404.
    Abstract PMID Url Cited by ~20
  577. D. de Boo, M. Uffmann, M. Weber, S. Bipat, E. Boorsma, M. Scheerder, N. Freling and C. Schaefer-Prokop, "Computer-aided Detection of Small Pulmonary Nodules in Chest Radiographs An Observer Study", Academic Radiology, 2011;18(12):1507-1514.
    Abstract DOI PMID
  578. J. van Dijck, J. Otten, N. Karssemeijer, P. Kenemans, A. Verbeek and M. van der Mooren, "Less mammographic density after nasal versus oral administration of postmenopausal hormone therapy", Climacteric, 2011;14(6):683-688.
    Abstract DOI PMID
  579. C. Hoeks, J. Barentsz, T. Hambrock, D. Yakar, D. Somford, S. Heijmink, T. Scheenen, P. Vos, H. Huisman, I. van Oort, J. Witjes, A. Heerschap and J. Fütterer, "Prostate Cancer: Multiparametric MR Imaging for Detection, Localization, and Staging", Radiology, 2011;261(1):46-66.
    Abstract DOI PMID Cited by ~633
  580. E. Brunenberg, B. Platel, P. Hofman, B. ter Romeny and V. Visser-Vandewalle, "Magnetic resonance imaging techniques for visualization of the subthalamic nucleus", Journal of Neurosurgery, 2011;115:971-984.
    Abstract DOI PMID
  581. R. Mann, J. Veltman, H. Huisman and C. Boetes, "Comparison of enhancement characteristics between invasive lobular carcinoma and invasive ductal carcinoma", Journal of Magnetic Resonance Imaging, 2011;34(2):293-300.
    Abstract DOI PMID Cited by ~19 Download
  582. G. van Schie, C. Tanner, P. Snoeren, M. Samulski, K. Leifland, M. Wallis and N. Karssemeijer, "Correlating locations in ipsilateral breast tomosynthesis views using an analytical hemispherical compression model", Physics in Medicine and Biology, 2011;56(15):4715-4730.
    Abstract DOI PMID Cited by ~18
  583. M. Niemeijer, X. Xu, A. Dumitrescu, P. Gupta, B. van Ginneken, J. Folk and M. Abràmoff, "Automated measurement of the arteriolar-to-venular width ratio in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2011;31(11):1941-1950.
    Abstract DOI PMID Cited by ~149 Download
  584. M. Nillesen, R. Lopata, H. Huisman, J. Thijssen, L. Kapusta and C. de Korte, "Correlation based 3-D segmentation of the left ventricle in pediatric echocardiographic images using radio-frequency data", Ultrasound in Medicine and Biology, 2011;37(9):1409-1420.
    Abstract DOI PMID Cited by ~19 Download
  585. A. Mendrik, E. Vonken, B. van Ginneken, H. de Jong, A. Riordan, T. van Seeters, E. Smit, M. Viergever and M. Prokop, "TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps", Physics in Medicine and Biology, 2011;56:3857-3872.
    Abstract DOI PMID Cited by ~84 Download
  586. K. Murphy, B. van Ginneken, J. Reinhardt, S. Kabus, K. Ding, X. Deng, K. Cao, K. Du, G. Christensen, V. Garcia, T. Vercauteren, N. Ayache, O. Commowick, G. Malandain, B. Glocker, N. Paragios, N. Navab, V. Gorbunova, J. Sporring, M. de Bruijne, X. Han, M. Heinrich, J. Schnabel, M. Jenkinson, C. Lorenz, M. Modat, J. McClelland, S. Ourselin, S. Muenzing, M. Viergever, D. Nigris, D. Collins, T. Arbel, M. Peroni, R. Li, G. Sharp, A. Schmidt-Richberg, J. Ehrhardt, R. Werner, D. Smeets, D. Loeckx, G. Song, N. Tustison, B. Avants, J. Gee, M. Staring, S. Klein, B. Stoel, M. Urschler, M. Werlberger, J. Vandemeulebroucke, S. Rit, D. Sarrut and J. Pluim, "Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge", IEEE Transactions on Medical Imaging, 2011;31(11):1901-1920.
    Abstract DOI PMID Cited by ~391 Download
  587. S. Brandt, G. Karemore, N. Karssemeijer and M. Nielsen, "An Anatomically Oriented Breast Coordinate System for Mammogram Analysis", IEEE Transactions on Medical Imaging, 2011;30(10):1841-1851.
    Abstract DOI PMID Cited by ~27
  588. D. de Boo, M. Weber, E. Deurloo, G. Streekstra, N. Freling, D. Dongelmans and C. Schaefer-Prokop, "Computed radiography versus mobile direct radiography for bedside chest radiographs: impact of dose on image quality and reader agreement", Clinical Radiology, 2011;66(9):826-832.
    Abstract DOI PMID
  589. F. Mohamed Hoesein, P. Zanen, B. van Ginneken, R. van Klaveren and J. Lammers, "Association of the transfer coefficient of the lung for carbon monoxide with emphysema progression in male smokers", European Respiratory Journal, 2011;38:1012-1018.
    Abstract DOI PMID Cited by ~26 Download
  590. C. Sánchez, M. Niemeijer, A. Dumitrescu, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Evaluation of a Computer-Aided Diagnosis system for Diabetic Retinopathy screening on public data", Investigative Ophthalmology and Visual Science, 2011;52:4866-4871.
    Abstract DOI PMID Cited by ~78
  591. F. Mohamed Hoesein, B. de Hoop, P. Zanen, H. Gietema, C. Kruitwagen, B. van Ginneken, I. Išgum, C. Mol, R. van Klaveren, A. Dijkstra, H. Groen, H. Boezen, D. Postma, M. Prokop and J. Lammers, "CT-quantified emphysema in male heavy smokers: association with lung function decline", Thorax, 2011;66:782-787.
    Abstract DOI PMID Cited by ~125
  592. G. den Heeten and N. Karssemeijer, "[Computerised assessment of screening mammograms]", Nederlands Tijdschrift voor Geneeskunde, 2011;155(18):A3025.
    Abstract PMID Url Cited by ~1
  593. M. Kallenberg, M. Lokate, C. van Gils and N. Karssemeijer, "Automatic breast density segmentation: an integration of different approaches", Physics in Medicine and Biology, 2011;56(9):2715-2729.
    Abstract DOI PMID Cited by ~54
  594. M. Adriaensen, C. Schaefer-Prokop, D. Duyndam, B. Zonnenberg and M. Prokop, "Radiological evidence of lymphangioleiomyomatosis in female and male patients with tuberous sclerosis complex", Clinical Radiology, 2011;66(7):625-628.
    Abstract DOI PMID Cited by ~77
  595. T. Hambrock, D. Somford, H. Huisman, I. van Oort, J. Witjes, C. de Hulsbergen-van Kaa, T. Scheenen and J. Barentsz, "Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer", Radiology, 2011;259(2):453-461.
    Abstract DOI PMID Cited by ~577 Download
  596. M. Samulski and N. Karssemeijer, "Optimizing Case-based Detection Performance in a Multiview CAD System for Mammography", IEEE Transactions on Medical Imaging, 2011;30(4):1001-1009.
    Abstract DOI PMID Cited by ~62
  597. D. Yakar, S. Heijmink, C. de Hulsbergen-van Kaa, H. Huisman, J. Barentsz, J. Fütterer and T. Scheenen, "Initial results of 3-dimensional 1H-magnetic resonance spectroscopic imaging in the localization of prostate cancer at 3 Tesla: should we use an endorectal coil?", Investigative Radiology, 2011;46(5):301-306.
    Abstract DOI PMID Cited by ~30
  598. M. Adriaensen, M. van Oosterhout, H. Feringa, C. Schaefer-Prokop, B. Zonnenberg and M. Prokop, "Mature fat cells in the myocardium of patients with tuberous sclerosis complex", Journal of Clinical Pathology, 2011;64(3):244-245.
    Abstract DOI PMID Cited by ~3
  599. A. Rosenkrantz, M. Oei, J. Babb, B. Niver and B. Taouli, "Diffusion-weighted imaging of the abdomen at 3.0 Tesla: image quality and apparent diffusion coefficient reproducibility compared with 1.5 Tesla", Journal of Magnetic Resonance Imaging, 2011;33(1):128-135.
    Abstract DOI PMID
  600. R. Wittenberg, J. Peters, J. Sonnemans, S. Bipat, M. Prokop and C. Schaefer-Prokop, "Impact of image quality on the performance of computer-aided detection of pulmonary embolism", American Journal of Roentgenology, 2011;196(1):95-101.
    Abstract DOI PMID Cited by ~21
  601. M. Nielsen, G. Karemore, M. Loog, J. Raundahl, N. Karssemeijer, J. Otten, M. Karsdal, C. Vachon and C. Christiansen, "A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer", Cancer Epidemiology, 2011;35(4):381-387.
    Abstract DOI PMID Cited by ~44
  602. P. de Jong, J. Achterberg, O. Kessels, B. van Ginneken, L. Hogeweg, F. Beek and S. Terheggen-Lagro, "Modified Chrispin-Norman chest radiography score for cystic fibrosis: observer agreement and correlation with lung function", European Radiology, 2011;21:722-729.
    Abstract DOI PMID Cited by ~12
  603. M. Adriaensen, H. Feringa, C. Schaefer-Prokop, S. Cornelissen, B. Zonnenberg and M. Prokop, "Focal fatty areas in the myocardium of patients with tuberous sclerosis complex: a unique finding", Journal of Thoracic Imaging, 2011;26(1):W12-W13.
    Abstract DOI PMID Cited by ~3
  604. M. Niemeijer, M. Loog, M. Abràmoff, M. Viergever, M. Prokop and B. van Ginneken, "On Combining Computer-Aided Detection Systems", IEEE Transactions on Medical Imaging, 2011;30(2):215-223.
    Abstract DOI PMID Cited by ~98
  605. W. Deserno, O. Debats, T. Rozema, A. Fortuin, R. Heesakkers, Y. Hoogeveen, P. Peer, J. Barentsz and E. van Lin, "Comparison of Nodal Risk Formula and MR Lymphography for Predicting Lymph Node Involvement in Prostate Cancer", International Journal of Radiation Oncology, Biology, Physics, 2011;81(1):8-15.
    Abstract DOI PMID
  606. K. Murphy, B. van Ginneken, S. Klein, M. Staring, B. de Hoop, M. Viergever and J. Pluim, "Semi-automatic construction of reference standards for evaluation of image registration", Medical Image Analysis, 2011;15(1):71-84.
    Abstract DOI PMID Cited by ~135
  607. A. Firouzian, R. Manniesing, H. Flach, R. Risselada, F. van Kooten, M. Sturkenboom, A. van der Lugt and W. Niessen, "Intracranial Aneurysm Segmentation in 3D CT Angiography: Method and Quantitative Validation with and without Prior Noise Filtering", European Journal of Radiology, 2011;79(2):299-304.
    Abstract DOI PMID Cited by ~53
  608. M. Kox, J. Pompe, E. Peters, V. M., J. van der Laak, J. van der Hoeven, G. Scheffer, C. Hoedemaekers and P. Pickkers, "a7 Nicotinic acetylcholine receptor agonist GTS-21 attenuates ventilator-induced tumour necrosis factor-a production and lung injury", British Journal of Anaesthesia, 2011;107(4):559-566.
    Abstract DOI Download
  609. J. Seabra, F. Ciompi, O. Pujol, J. Mauri, P. Radeva and J. Sanches, "Rayleigh mixture model for plaque characterization in intravascular ultrasound", IEEE Transactions on Biomedical Engineering, 2011;58(5):1314-1324.
    Abstract Url Cited by ~80
  610. M. Lokate, M. Kallenberg, N. Karssemeijer, M. van den Bosch, P. Peeters and C. van Gils, "Volumetric breast density from full-field digital mammograms and its association with breast cancer risk factors: a comparison with a threshold method", Cancer Epidemiology Biomarkers and Prevention, 2010;19(12):3096-3105.
    Abstract DOI PMID Cited by ~70
  611. Y. Hu, R. van den Boom, T. Carter, Z. Taylor, D. Hawkes, H. Ahmed, M. Emberton, C. Allen and D. Barratt, "A comparison of the accuracy of statistical models of prostate motion trained using data from biomechanical simulations", Progress in Biophysics and Molecular Biology, 2010;103(2-3):262-272.
    Abstract DOI PMID
  612. B. de Hoop, D. de Boo, H. Gietema, F. van Hoorn, B. Mearadji, L. Schijf, B. van Ginneken, M. Prokop and C. Schaefer-Prokop, "Computer-aided Detection of Lung Cancer on Chest Radiographs: Effect on Observer Performance", Radiology, 2010;257(2):532-540.
    Abstract DOI PMID Cited by ~57 Download
  613. A. Mendrik, E. Vonken, B. van Ginneken, E. Smit, A. Waaijer, G. Bertolini, M. Viergever and M. Prokop, "Automatic segmentation of intracranial arteries and veins in four-dimensional cerebral CT perfusion scans", Medical Physics, 2010;37(6):2956-2966.
    Abstract DOI PMID Cited by ~32 Download
  614. C. Schaefer-Prokop, "Conventional and CT diagnostics of bronchial carcinoma", Radiologe, 2010;50(8):675-683.
    Abstract DOI PMID
  615. R. Manniesing, M. Schaap, S. Rozie, R. Hameeteman, D. Vukadinovic, A. van der Lugt and W. Niessen, "Robust CTA lumen segmentation of the atherosclerotic carotid artery bifurcation in a large patient population", Medical Image Analysis, 2010;14(6):759-769.
    Abstract DOI PMID Cited by ~40
  616. B. van Ginneken, S. Armato, B. de Hoop, S. van de Vorst, T. Duindam, M. Niemeijer, K. Murphy, A. Schilham, A. Retico, M. Fantacci, N. Camarlinghi, F. Bagagli, I. Gori, T. Hara, H. Fujita, G. Gargano, R. Belloti, F. Carlo, R. Megna, S. Tangaro, L. Bolanos, P. Cerello, S. Cheran, E. Torres and M. Prokop, "Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study", Medical Image Analysis, 2010;14:707-722.
    Abstract DOI PMID Cited by ~229
  617. M. Adriaensen, M. Cramer, M. Brouha, C. Schaefer-Prokop, M. Prokop, P. Doevendans, B. Zonnenberg and H. Feringa, "Echocardiographic screening results in patients with tuberous sclerosis complex", Texas Heart Institute Journal, 2010;37(3):280-283.
    Abstract PMID Cited by ~5
  618. M. Samulski, R. Hupse, C. Boetes, R. Mus, G. den Heeten and N. Karssemeijer, "Using Computer Aided Detection in Mammography as a Decision Support", European Radiology, 2010;20(10):2323-2330.
    Abstract DOI PMID Cited by ~67
  619. D. Stegeman, W. van de Ven, G. van Elswijk, R. Oostenveld and B. Kleine, "The alpha-motoneuron pool as transmitter of rhythmicities in cortical motor drive", Clinical Neurophysiology, 2010;121(10):1633-1642.
    Abstract DOI PMID
  620. R. Hupse and N. Karssemeijer, "The effect of feature selection methods on computer-aided detection of masses in mammograms", Physics in Medicine and Biology, 2010;55(10):2893-2904.
    Abstract DOI PMID Cited by ~28
  621. B. de Hoop, C. Schaefer-Prokop, H. Gietema, P. de Jong, B. van Ginneken, R. van Klaveren and M. Prokop, "Screening for lung cancer with digital chest radiography: sensitivity and number of secondary work-up CT examinations", Radiology, 2010;255(2):629-637.
    Abstract DOI PMID Cited by ~39 Download
  622. P. Jacobs, I. Išgum, M. Gondrie, W. Mali, B. van Ginneken, M. Prokop and Y. der Graaf, "Coronary artery calcification scoring in low-dose ungated CT screening for lung cancer: interscan agreement", American Journal of Roentgenology, 2010;194(5):1244-1249.
    Abstract DOI PMID Cited by ~41 Download
  623. A. Bluekens, N. Karssemeijer, D. Beijerinck, J. Deurenberg, R. van Engen, M. Broeders and G. den Heeten, "Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates", European Radiology, 2010;20(9):2067-2073.
    Abstract DOI PMID Cited by ~64
  624. S. Timp, C. Varela and N. Karssemeijer, "Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions", IEEE Transactions on Information Technology in Biomedicine, 2010;14(3):803-808.
    Abstract DOI PMID Cited by ~24
  625. E. van Rikxoort, M. Prokop, B. de Hoop, M. Viergever, J. Pluim and B. van Ginneken, "Automatic Segmentation of Pulmonary Lobes Robust Against Incomplete Fissures", IEEE Transactions on Medical Imaging, 2010;29(6):1286-1296.
    Abstract DOI PMID Cited by ~94 Download
  626. I. Išgum, A. Rutten, M. Prokop, M.Staring, S. Klein, J. Pluim, M. Viergever and B. van Ginneken, "Automated aortic calcium scoring on low-dose chest computed tomography", Medical Physics, 2010;37(2):714-723.
    Abstract DOI PMID Cited by ~33 Download
  627. I. Hartmann, R. Wittenberg and C. Schaefer-Prokop, "Imaging of acute pulmonary embolism using multi-detector CT angiography: an update on imaging technique and interpretation", European Journal of Radiology, 2010;74(1):40-49.
    Abstract DOI PMID
  628. P. Vos, T. Hambrock, J. Barentsz and H. Huisman, "Computer-assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRI", Physics in Medicine and Biology, 2010;55(6):1719-1734.
    Abstract DOI PMID Cited by ~116 Download
  629. J. Patel, E. Sigmund, H. Rusinek, M. Oei, J. Babb and B. Taouli, "Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination: preliminary experience", Journal of Magnetic Resonance Imaging, 2010;31(3):589-600.
    Abstract DOI PMID
  630. Y. Arzhaeva, M. Prokop, K. Murphy, E. van Rikxoort, P. de Jong, H. Gietema, M. Viergever and B. van Ginneken, "Automated estimation of progression of interstitial lung disease in CT images", Medical Physics, 2010;37(1):63-73.
    Abstract DOI PMID Cited by ~24 Download
  631. B. de Hoop, H. Gietema, S. van de Vorst, K. Murphy, R. van Klaveren and M. Prokop, "Pulmonary ground-glass nodules: increase in mass as an early indicator of growth", Radiology, 2010;255(1):199-206.
    Abstract DOI PMID Cited by ~199
  632. F. Ciompi, O. Pujol, C. Gatta, O. Rodriguez-Leor, J. Mauri-Ferre and P. Radeva, "Fusing in-vitro and in-vivo intravascular ultrasound data for plaque characterization", International Journal of Cardiac Imaging, 2010;26(7):763-779.
    Abstract PMID Url Cited by ~28
  633. D. Yakar, T. Hambrock, H. Huisman, C. de Hulsbergen-van Kaa, E. van Lin, H. Vergunst, C. Hoeks, I. van Oort, J. Witjes, J. Barentsz and J. Fütterer, "Feasibility of 3T dynamic contrast-enhanced magnetic resonance-guided biopsy in localizing local recurrence of prostate cancer after external beam radiation therapy", Investigative Radiology, 2010;45(3):121-125.
    Abstract DOI PMID Cited by ~66 Download
  634. E. Tanck, J. Deenen, H. Huisman, J. Kooloos, H. Huizenga and N. Verdonschot, "An anatomically shaped lower body model for CT scanning of cadaver femurs", Physics in Medicine and Biology, 2010;55(2):N57-N62.
    Abstract DOI PMID Cited by ~4 Download
  635. T. Hambrock, D. Somford, C. Hoeks, S. Bouwense, H. Huisman, D. Yakar, I. van Oort, J. Witjes, J. Fütterer and J. Barentsz, "Magnetic resonance imaging guided prostate biopsy in men with repeat negative biopsies and increased prostate specific antigen", Journal of Urology, 2010;183(2):520-527.
    Abstract DOI PMID Cited by ~415 Download
  636. E. van Rikxoort, I. Išgum, Y. Arzhaeva, M. Staring, S. Klein, M. Viergever, J. Pluim and B. van Ginneken, "Adaptive local multi-atlas segmentation: application to the heart and the caudate nucleus", Medical Image Analysis, 2010;14(1):39-49.
    Abstract DOI PMID Cited by ~179 Download
  637. P. Jacobs, M. Prokop, Y. van der Graaf, M. Gondrie, K. Janssen, H. de Koning, I. Išgum, R. van Klaveren, M. Oudkerk, B. van Ginneken and W. Mali, "Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high-risk population of heavy smokers", Atherosclerosis, 2010;209(2):455-462.
    Abstract DOI PMID Cited by ~116 Download
  638. R. Wittenberg, J. Peters, J. Sonnemans, M. Prokop and C. Schaefer-Prokop, "Computer-assisted detection of pulmonary embolism: evaluation of pulmonary CT angiograms performed in an on-call setting", European Radiology, 2010;20(4):801-806.
    Abstract DOI PMID Cited by ~32
  639. M. Niemeijer, B. van Ginneken, M. Cree, A. Mizutani, G. Quellec, C. Sánchez, B. Zhang, R. Hornero, M. Lamard, C. Muramatsu, X. Wu, G. Cazuguel, J. You, A. Mayo, Q. Li, Y. Hatanaka, B. Cochener, C. Roux, F. Karray, M. Garcia, H. Fujita and M. Abràmoff, "Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2010;29(1):185-195.
    Abstract DOI PMID Cited by ~446 Download
  640. H. Gietema, P. Zanen, A. Schilham, B. van Ginneken, R. van Klaveren, M. Prokop and J. Lammers, "Distribution of emphysema in heavy smokers: impact on pulmonary function", Respiratory Medicine, 2010;104(1):76-82.
    Abstract DOI PMID Cited by ~27 Download
  641. D. Vukadinovic, T. van Walsum, R. Manniesing, S. Rozie, R. Hameeteman, T. de Weert, A. van der Lugt and W. Niessen, "Segmentation of the outer vessel wall of the common carotid artery in CTA", IEEE Transactions on Medical Imaging, 2010;29(1):65-76.
    Abstract DOI PMID Cited by ~51
  642. H. Gietema, P. Zanen, A. Schilham, B. van Ginneken, R. van Klaveren, M. Prokop and J. Lammers, "Reply to Hochheggar et al", Respiratory Medicine, 2010;104(7):1074.
    Abstract DOI Download
  643. C. Hoeks, J. Fütterer, D. Somford, I. van Oort, H. Huisman and J. Barentsz, "Multiparametric MRI for prostate cancer screening", Nederlands Tijdschrift voor Geneeskunde, 2009;153:B487.
    Abstract PMID Download
  644. X. Artaechevarria, D. Pérez-Martin, M. Ceresa, G. de Biurrun, D. Blanco, L. Montuenga, B. van Ginneken, C. Ortiz-de-Solórzano and A. Muñoz-Barrutia, "Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT", Physics in Medicine and Biology, 2009;54(22):7009-7024.
    Abstract DOI PMID Cited by ~38 Download
  645. R. Brecheisen, B. Platel, A. Vilanova and B. ter Romeny, "Parameter sensitivity visualization for DTI fiber tracking", IEEE Transactions on Visualization and Computer Graphics, 2009;15(6):1441-1448.
    Abstract DOI PMID Cited by ~66
  646. D. Mook-Kanamori, S. Holzhauer, L. Hollestein, B. Durmus, R. Manniesing, M. Koek, G. Boehm, E. van der Beek, A. Hofman, J. Witteman, M. Lequin and V. Jaddoe, "Abdominal fat in children measured by ultrasound and computed tomography", Ultrasound in Medicine and Biology, 2009;35(12):1938-1946.
    Abstract DOI PMID Cited by ~64
  647. A. Mendrik, E. Vonken, A. Rutten, M. Viergever and B. van Ginneken, "Noise reduction in computed tomography scans using 3-d anisotropic hybrid diffusion with continuous switch", IEEE Transactions on Medical Imaging, 2009;28(10):1585-1594.
    Abstract DOI PMID Cited by ~104 Download
  648. M. Niemeijer, M. Abràmoff and B. van Ginneken, "Fast detection of the optic disc and fovea in color fundus photographs", Medical Image Analysis, 2009;13(6):859-870.
    Abstract DOI PMID Cited by ~247 Download
  649. C. Schaefer-Prokop and M. Uffmann, "Update on digital radiography", European Journal of Radiology, 2009;72(2):193.
    Abstract DOI PMID
  650. D. de Boo, M. Prokop, M. Uffmann, B. van Ginneken and C. Schaefer-Prokop, "Computer-aided detection (CAD) of lung nodules and small tumours on chest radiographs", European Journal of Radiology, 2009;72(2):218-225.
    Abstract DOI PMID Cited by ~38 Download
  651. M. Adriaensen, C. Schaefer-Prokop, D. Duyndam, B. Zonnenberg and M. Prokop, "Fatty foci in the myocardium in patients with tuberous sclerosis complex: common finding at CT", Radiology, 2009;253(2):359-363.
    Abstract DOI PMID Cited by ~33
  652. N. Karssemeijer, A. Bluekens, D. Beijerinck, J. Deurenberg, M. Beekman, R. Visser, R. van Engen, A. Bartels-Kortland and M. Broeders, "Breast cancer screening results 5 years after introduction of digital mammography in a population-based screening program", Radiology, 2009;253(2):353-358.
    Abstract DOI PMID Cited by ~141
  653. C. Schaefer-Prokop, D. Boo, M. Uffmann and M. Prokop, "DR and CR: Recent advances in technology", European Journal of Radiology, 2009;72(2):194-201.
    Abstract DOI PMID Cited by ~57
  654. E. van Rikxoort, B. de Hoop, M. Viergever, M. Prokop and B. van Ginneken, "Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection", Medical Physics, 2009;36(7):2934-2947.
    Abstract DOI PMID Cited by ~244 Download
  655. R. Hupse and N. Karssemeijer, "Use of normal tissue context in computer-aided detection of masses in mammograms", IEEE Transactions on Medical Imaging, 2009;28(12):2033-2041.
    Abstract DOI PMID Cited by ~49
  656. K. Murphy, B. van Ginneken, A. Schilham, B. de Hoop, H. Gietema and M. Prokop, "A Large Scale Evaluation of Automatic Pulmonary Nodule Detection in Chest CT using Local Image Features and k-Nearest-Neighbour Classification", Medical Image Analysis, 2009;13(5):757-770.
    Abstract DOI PMID Cited by ~275 Download
  657. M. Uffmann and C. Schaefer-Prokop, "Digital radiography: the balance between image quality and required radiation dose", European Journal of Radiology, 2009;72(2):202-208.
    Abstract DOI PMID
  658. B. van Ginneken, L. Hogeweg and M. Prokop, "Computer-aided diagnosis in chest radiography: beyond nodules", European Journal of Radiology, 2009;72(2):226-230.
    Abstract DOI PMID Cited by ~85
  659. C. Sánchez, M. García, A. Mayo, M. López and R. Hornero, "Retinal image analysis based on mixture models to detect hard exudates", Medical Image Analysis, 2009;13(4):650-658.
    Abstract DOI PMID Cited by ~206
  660. J. Iglesias and N. Karssemeijer, "Robust initial detection of landmarks in film-screen mammograms using multiple FFDM atlases", IEEE Transactions on Medical Imaging, 2009;28(11):1815-1824.
    Abstract DOI PMID Cited by ~33
  661. M. García, C. Sánchez, J. Poza, M. López and R. Hornero, "Detection of hard exudates in retinal images using a radial basis function classifier", Annals of Biomedical Engineering, 2009;37(7):1448-1463.
    Abstract DOI PMID Cited by ~67
  662. M. Nillesen, R. Lopata, W. de Boode, I. Gerrits, H. Huisman, J. Thijssen, L. Kapusta and C. de Korte, "In vivo validation of cardiac output assessment in non-standard 3D echocardiographic images", Physics in Medicine and Biology, 2009;54(7):1951-1962.
    Abstract DOI PMID Cited by ~9 Download
  663. E. Rollano-Hijarrubia, R. Manniesing and W. Niessen, "Selective deblurring for improved calcification visualization and quantification in carotid CT angiography: validation using micro-CT", IEEE Transactions on Medical Imaging, 2009;28(3):446-453.
    Abstract DOI PMID Cited by ~20
  664. M. Adriaensen, C. Schaefer-Prokop, T. Stijnen, D. Duyndam, B. Zonnenberg and M. Prokop, "Prevalence of subependymal giant cell tumors in patients with tuberous sclerosis and a review of the literature", European Journal of Neurology, 2009;16(6):691-696.
    Abstract DOI PMID Cited by ~155
  665. E. van Rikxoort, B. de Hoop, S. van de Vorst, M. Prokop and B. van Ginneken, "Automatic segmentation of pulmonary segments from volumetric chest CT scans", IEEE Transactions on Medical Imaging, 2009;28(4):621-630.
    Abstract DOI PMID Cited by ~116 Download
  666. T. Heimann, B. van Ginneken, M. Styner, Y. Arzhaeva, V. Aurich, C. Bauer, A. Beck, C. Becker, R. Beichel, G. Bekes, F. Bello, G. Binnig, H. Bischof, A. Bornik, P. Cashman, Y. Chi, A. Cordova, B. Dawant, M. Fidrich, J. Furst, D. Furukawa, L. Grenacher, J. Hornegger, D. Kainmuller, R. Kitney, H. Kobatake, H. Lamecker, T. Lange, J. Lee, B. Lennon, R. Li, S. Li, H. Meinzer, G. Nemeth, D. Raicu, A. Rau, E. van Rikxoort, M. Rousson, L. Rusko, K. Saddi, G. Schmidt, D. Seghers, A. Shimizu, P. Slagmolen, E. Sorantin, G. Soza, R. Susomboon, J. Waite, A. Wimmer and I. Wolf, "Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets", IEEE Transactions on Medical Imaging, 2009;28(8):1251-1265.
    Abstract DOI PMID Cited by ~813 Download
  667. M. Velikova, M. Samulski, P. Lucas and N. Karssemeijer, "Improved mammographic CAD performance using multi-view information: a Bayesian network framework", Physics in Medicine and Biology, 2009;54(5):1131-1147.
    Abstract DOI PMID Cited by ~62
  668. M. Niemeijer, M. Abràmoff and B. van Ginneken, "Information fusion for diabetic retinopathy CAD in digital color fundus photographs", IEEE Transactions on Medical Imaging, 2009;28(5):775-785.
    Abstract DOI PMID Cited by ~124
  669. I. Išgum, M. Staring, A. Rutten, M. Prokop, M. Viergever and B. van Ginneken, "Multi-Atlas-Based Segmentation With Local Decision Fusion - Application to Cardiac and Aortic Segmentation in CT Scans", IEEE Transactions on Medical Imaging, 2009;28:1000-1010.
    Abstract DOI PMID Cited by ~390 Download
  670. M. Staring, J. Pluim, B. de Hoop, S. Klein, B. van Ginneken, H. Gietema, G. Nossent, C. Schaefer-Prokop, S. van de Vorst and M. Prokop, "Image Subtraction Facilitates Assessment of Volume and Density Change in Ground-Glass Opacities in Chest CT", Investigative Radiology, 2009;44(2):61-66.
    Abstract DOI PMID Cited by ~17 Download
  671. B. de Hoop, H. Gietema, B. van Ginneken, P. Zanen, G. Groenewegen and M. Prokop, "A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations", European Radiology, 2009;19(4):800-808.
    Abstract DOI PMID Cited by ~135
  672. C. van Niekerk, J. van der Laak, M. Börger, H. Huisman, J. Witjes, J. Barentsz and C. de Hulsbergen-van Kaa, "Computerized whole slide quantification shows increased microvascular density in pT2 prostate cancer as compared to normal prostate tissue", Prostate, 2009;69(1):62-69.
    Abstract DOI PMID Cited by ~40 Download
  673. M. García, C. Sánchez, M. López, D. Abásolo and R. Hornero, "Neural network based detection of hard exudates in retinal images", Computer Methods and Programs in Biomedicine, 2009;93(1):9-19.
    Abstract DOI PMID Cited by ~193
  674. M. Demirci, B. Platel, A. Shokoufandeh, L. Florack and S. Dickinson, "The Representation and Matching of Images Using Top Points", Journal of Mathematical Imaging and Vision, 2009;35(2):103-116.
    Abstract DOI Cited by ~21
  675. Y. Arzhaeva, D. Tax and B. van Ginneken, "Dissimilarity-based classification in the absence of local ground truth: application to the diagnostic interpretation of chest radiographs", Pattern Recognition, 2009;42(9):1768-1776.
    Abstract DOI Cited by ~29
  676. M. Kallenberg and N. Karssemeijer, "Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for training", Physics in Medicine and Biology, 2008;53(23):6879-6891.
    Abstract DOI PMID Cited by ~20
  677. S. Armato and B. van Ginneken, "Anniversary paper: image processing and manipulation through the pages of Medical Physics", Medical Physics, 2008;35(10):4488-4500.
    Abstract DOI PMID Cited by ~10
  678. C. Schaefer-Prokop and M. Prokop, "CTPA for the diagnosis of acute pulmonary embolism during pregnancy", European Radiology, 2008;18(12):2705-2708.
    Abstract DOI PMID Cited by ~69
  679. T. Hambrock, J. Fütterer, H. Huisman, C. de Hulsbergen-van Kaa, J. van Basten, I. van Oort, J. Witjes and J. Barentsz, "Thirty-two-channel coil 3T magnetic resonance-guided biopsies of prostate tumor suspicious regions identified on multimodality 3T magnetic resonance imaging: technique and feasibility", Investigative Radiology, 2008;43(10):686-694.
    Abstract DOI PMID Cited by ~126 Download
  680. R. Manniesing, M. Viergever, A. van der Lugt and W. Niessen, "Cerebral arteries: fully automated segmentation from CT angiography--a feasibility study", Radiology, 2008;247(3):841-846.
    Abstract DOI PMID Cited by ~18
  681. B. Lelieveldt and N. Karssemeijer, "Information Processing In Medical Imaging 2007", Medical Image Analysis, 2008;12(6):729-730.
    Abstract DOI PMID Cited by ~1
  682. C. Schaefer-Prokop, U. Neitzel, H. Venema, M. Uffmann and M. Prokop, "Digital chest radiography: an update on modern technology, dose containment and control of image quality", European Radiology, 2008;18(9):1818-30.
    Abstract DOI PMID Cited by ~176
  683. P. Vos, T. Hambrock, C. de Kaa, J. Fütterer, J. Barentsz and H. Huisman, "Computerized analysis of prostate lesions in the peripheral zone using dynamic contrast enhanced MRI", Medical Physics, 2008;35(3):888-899.
    Abstract DOI PMID Cited by ~103 Download
  684. B. Stoel, D. Parr, E. Bakker, H. Putter, J. Stolk, H. Gietema, A. Schilham, B. van Ginneken, R. van Klaveren, J. Lammers and M. Prokop, "Can the extent of low-attenuation areas on CT scans really demonstrate changes in the severity of emphysema?", Radiology, 2008;247(1):293-4; author reply 294.
    Abstract DOI PMID Cited by ~11
  685. A. Eilertsen, N. Karssemeijer, P. Skaane, E. Qvigstad and P. Sandset, "Differential impact of conventional and low-dose oral hormone therapy, tibolone and raloxifene on mammographic breast density, assessed by an automated quantitative method", British Journal of Obstetrics and Gynaecology, 2008;115(6):773-779.
    Abstract DOI PMID Cited by ~37
  686. J. Veltman, M. Stoutjesdijk, R. Mann, H. Huisman, J. Barentsz, J. Blickman and C. Boetes, "Contrast-enhanced magnetic resonance imaging of the breast: the value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions", European Radiology, 2008;18(6):1123-1133.
    Abstract DOI PMID Cited by ~70
  687. E. van Rikxoort, B. van Ginneken, M. Klik and M. Prokop, "Supervised enhancement filters: application to fissure detection in chest CT scans", IEEE Transactions on Medical Imaging, 2008;27(1):1-10.
    Abstract DOI PMID Cited by ~95
  688. M. Uffmann, C. Schaefer-Prokop and U. Neitzel, "[Balance of required dose and image quality in digital radiography]", Radiologe, 2008;48(3):249-257.
    Abstract DOI PMID
  689. P. Koopmans, R. Manniesing, W. Niessen, M. Viergever and M. Barth, "MR venography of the human brain using susceptibility weighted imaging at very high field strength", Magnetic Resonance Materials in Physics, Biology and Medicine, 2008;21(1-2):149-158.
    Abstract DOI PMID Cited by ~122
  690. M. Abràmoff, M. Niemeijer, M. Suttorp-Schulten, M. Viergever, S. Russell and B. van Ginneken, "Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes", Diabetes Care, 2008;31(2):193-198.
    Abstract DOI PMID Cited by ~287
  691. J. Poza, R. Hornero, J. Escudero, A. Fernández and C. Sánchez, "Regional analysis of spontaneous MEG rhythms in patients with Alzheimer's disease using spectral entropies", Annals of Biomedical Engineering, 2008;36(1):141-152.
    Abstract DOI PMID Cited by ~56
  692. C. Sánchez, R. Hornero, M. López, M. Aboy, J. Poza and D. Abásolo, "A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis", Medical Engineering and Physics, 2008;30(3):350-357.
    Abstract DOI PMID Cited by ~173
  693. B. van Ginneken, "Computer-Aided Diagnosis in Thoracic Computed Tomography", Imaging Decisions MRI, 2008;12(3):11-22.
    Abstract DOI Cited by ~14
  694. Y. Arzhaeva, M. Prokop, D. Tax, P. de Jong, C. Schaefer-Prokop and B. van Ginneken, "Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography", Medical Physics, 2007;34(12):4798-4809.
    Abstract DOI PMID Cited by ~42
  695. M. Stoutjesdijk, J. Veltman, H. Huisman, N. Karssemeijer, J. Barentsz, J. Blickman and C. Boetes, "Automated analysis of contrast enhancement in breast MRI lesions using mean shift clustering for ROI selection", Journal of Magnetic Resonance Imaging, 2007;26(3):606-614.
    Abstract DOI PMID Cited by ~41 Download
  696. H. Gietema, A. Schilham, B. van Ginneken, R. van Klaveren, J. Lammers and M. Prokop, "Monitoring of smoking-induced emphysema with CT in a lung cancer screening setting: detection of real increase in extent of emphysema", Radiology, 2007;244(3):890-897.
    Abstract DOI PMID Cited by ~67
  697. S. Timp, C. Varela and N. Karssemeijer, "Temporal change analysis for characterization of mass lesions in mammography", IEEE Transactions on Medical Imaging, 2007;26(7):945-953.
    Abstract DOI PMID Cited by ~90
  698. M. Nillesen, R. Lopata, I. Gerrits, L. Kapusta, H. Huisman, J. Thijssen and C. de Korte, "Segmentation of the heart muscle in 3-D pediatric echocardiographic images", Ultrasound in Medicine and Biology, 2007;33(9):1453-1462.
    Abstract DOI PMID Cited by ~41 Download
  699. W. Vogel, J. van Dalen, B. Wiering, H. Huisman, F. Corstens, T. Ruers and W. Oyen, "Evaluation of image registration in PET/CT of the liver and recommendations for optimized imaging", Journal of Nuclear Medicine, 2007;48(6):910-919.
    Abstract DOI PMID Cited by ~43 Download
  700. I. Išgum, A. Rutten, M. Prokop and B. van Ginneken, "Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease", Medical Physics, 2007;34(4):1450-1461.
    Abstract DOI PMID Cited by ~89
  701. S. Heijmink, J. Fütterer, T. Hambrock, S. Takahashi, T. Scheenen, H. Huisman, C. de Hulsbergen-Van Kaa, B. Knipscheer, L. Kiemeney, J. Witjes and J. Barentsz, "Prostate cancer: body-array versus endorectal coil MR imaging at 3 T--comparison of image quality, localization, and staging performance", Radiology, 2007;244(1):184-195.
    Abstract DOI PMID Cited by ~354
  702. J. van Dalen, A. Hoffmann, V. Dicken, W. Vogel, B. Wiering, T. Ruers, N. Karssemeijer and W. Oyen, "A novel iterative method for lesion delineation and volumetric quantification with FDG PET", Nuclear Medicine Communications, 2007;28(6):485-493.
    Abstract DOI PMID Cited by ~122
  703. M. Niemeijer, B. van Ginneken, S. Russel, M. Suttorp-Schulten and M. Abràmoff, "Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis", Investigative Ophthalmology and Visual Science, 2007;48(5):2260-2267.
    Abstract DOI PMID Cited by ~388
  704. P. Peloschek, J. Sailer, M. Weber, C. Herold, M. Prokop and C. Schaefer-Prokop, "Pulmonary nodules: sensitivity of maximum intensity projection versus that of volume rendering of 3D multidetector CT data", Radiology, 2007;243(2):561-569.
    Abstract PMID Cited by ~71
  705. S. van Engeland and N. Karssemeijer, "Combining two mammographic projections in a computer aided mass detection method", Medical Physics, 2007;34(3):898-905.
    Abstract DOI PMID Cited by ~73
  706. R. Manniesing, M. Viergever and W. Niessen, "Vessel axis tracking using topology constrained surface evolution", IEEE Transactions on Medical Imaging, 2007;26(3):309-316.
    Abstract DOI PMID Cited by ~101
  707. A. Bankier, C. Schaefer-Prokop, V. Maertelaer, D. Tack, P. Jaksch, W. Klepetko and P. Gevenois, "Air trapping: comparison of standard-dose and simulated low-dose thin-section CT techniques", Radiology, 2007;242(3):898-906.
    Abstract PMID
  708. M. Niemeijer, M. Abràmoff and B. van Ginneken, "Segmentation of the optic disc, macula and vascular arch in fundus photographs", IEEE Transactions on Medical Imaging, 2007;26(1):116-127.
    Abstract DOI PMID Cited by ~247
  709. J. Fütterer, T. Scheenen, S. Heijmink, H. Huisman, C. de Kaa, J. Witjes, A. Heerschap and J. Barentsz, "Standardized threshold approach using three-dimensional proton magnetic resonance spectroscopic imaging in prostate cancer localization of the entire prostate", Investigative Radiology, 2007;42(2):116-122.
    Abstract DOI PMID Cited by ~86
  710. P. Snoeren and N. Karssemeijer, "Gray-scale and geometric registration of full-field digital and film-screen mammograms", Medical Image Analysis, 2007;11(2):146-156.
    Abstract DOI PMID Cited by ~11
  711. A. Roelofs, N. Karssemeijer, N. Wedekind, C. Beck, S. van Woudenberg, P. Snoeren, J. Hendriks, M. del Turco, N. Bjurstam, H. Junkermann, D. Beijerinck, B. Séradour and C. Evertsz, "Importance of comparison of current and prior mammograms in breast cancer screening", Radiology, 2007;242(1):70-77.
    Abstract DOI PMID Cited by ~67
  712. J. Staal, B. van Ginneken and M. Viergever, "Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data", Medical Image Analysis, 2007;11(1):35-46.
    Abstract DOI PMID Cited by ~72
  713. N. Karssemeijer, J. Otten, H. Rijken and R. Holland, "Computer aided detection of masses in mammograms as decision support", British Journal of Radiology, 2006;79 Spec No 2:S123-S126.
    Abstract DOI PMID Cited by ~30
  714. M. Niemeijer, M. Abràmoff and B. van Ginneken, "Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening", Medical Image Analysis, 2006;10(6):888-898.
    Abstract DOI PMID Cited by ~144
  715. S. Selvan, C. Xavier, N. Karssemeijer, J. Sequeira, R. Cherian and B. Dhala, "Parameter estimation in stochastic mammogram model by heuristic optimization techniques", IEEE Transactions on Information Technology in Biomedicine, 2006;10(4):685-695.
    Abstract DOI PMID Cited by ~31
  716. S. van Engeland, S. Timp and N. Karssemeijer, "Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views", Medical Physics, 2006;33(9):3203-3212.
    Abstract DOI PMID Cited by ~53
  717. J. Fütterer, S. Heijmink, T. Scheenen, J. Veltman, H. Huisman, P. Vos, C. Hulsbergen-van de Kaa, J. Witjes, P. Krabbe, A. Heerschap and J. Barentsz, "Prostate cancer localization with dynamic contrast-enhanced MR imaging and proton MR spectroscopic imaging", Radiology, 2006;241(2):449-458.
    Abstract DOI PMID Cited by ~603
  718. I. Sluimer, M. Prokop, I. Hartmann and B. van Ginneken, "Automated classification of hyperlucency, fibrosis, ground glass, solid and focal lesions in high resolution CT of the lung", Medical Physics, 2006;33(7):2610-2620.
    Abstract DOI PMID Cited by ~79
  719. R. Manniesing, M. Viergever and W. Niessen, "Vessel enhancing diffusion: a scale space representation of vessel structures", Medical Image Analysis, 2006;10(6):815-825.
    Abstract DOI PMID Cited by ~285
  720. M. Loog, B. van Ginneken and A. Schilham, "Filter learning: application to suppression of bony structures from chest radiographs", Medical Image Analysis, 2006;10:826-840.
    Abstract DOI PMID Cited by ~62
  721. M. Loog and B. van Ginneken, "Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification", IEEE Transactions on Medical Imaging, 2006;25:602-11.
    Abstract DOI PMID Cited by ~103
  722. E. van Lin, J. Fütterer, S. Heijmink, L. van der Vight, A. Hoffmann, P. van Kollenburg, H. Huisman, T. Scheenen, J. Witjes, J. Leer, J. Barentsz and A. Visser, "IMRT boost dose planning on dominant intraprostatic lesions: gold marker-based three-dimensional fusion of CT with dynamic contrast-enhanced and 1H-spectroscopic MRI", International Journal of Radiation Oncology, Biology, Physics, 2006;65(1):291-303.
    Abstract DOI PMID Cited by ~195
  723. A. Schilham, B. van Ginneken, H. Gietema and M. Prokop, "Local noise weighted filtering for emphysema scoring of low-dose CT images", IEEE Transactions on Medical Imaging, 2006;25:451-463.
    Abstract DOI PMID Cited by ~89
  724. I. Sluimer, A. Schilham, M. Prokop and B. van Ginneken, "Computer analysis of computed tomography scans of the lung: a survey", IEEE Transactions on Medical Imaging, 2006;25(4):385-405.
    Abstract DOI PMID Cited by ~621
  725. S. van Engeland, P. Snoeren, H. Huisman, C. Boetes and N. Karssemeijer, "Volumetric breast density estimation from full-field digital mammograms", IEEE Transactions on Medical Imaging, 2006;25(3):273-282.
    Abstract DOI PMID Cited by ~250 Download
  726. R. Hornero, D. Abásolo, N. Jimeno, C. Sánchez, J. Poza and M. Aboy, "Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects", IEEE Transactions on Biomedical Engineering, 2006;53(2):210-218.
    Abstract DOI PMID Cited by ~83
  727. C. Varela, S. Timp and N. Karssemeijer, "Use of border information in the classification of mammographic masses", Physics in Medicine and Biology, 2006;51(2):425-441.
    Abstract DOI PMID Cited by ~103
  728. A. Schilham, B. van Ginneken and M. Loog, "A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database", Medical Image Analysis, 2006;10:247-258.
    Abstract DOI PMID Cited by ~167
  729. R. Manniesing, B. Velthuis, M. van Leeuwen, I. van der Schaaf, P. van Laar and W. Niessen, "Level set based cerebral vasculature segmentation and diameter quantification in CT angiography", Medical Image Analysis, 2006;10(2):200-214.
    Abstract DOI PMID Cited by ~152
  730. A. Roelofs, S. van Woudenberg, J. Otten, J. Hendriks, A. Bödicker, C. Evertsz and N. Karssemeijer, "Effect of soft-copy display supported by CAD on mammography screening performance", European Radiology, 2006;16(1):45-52.
    Abstract DOI PMID Cited by ~18
  731. S. Timp and N. Karssemeijer, "Interval change analysis to improve computer aided detection in mammography", Medical Image Analysis, 2006;10(1):82-95.
    Abstract DOI PMID Cited by ~59
  732. B. van Ginneken, M. Stegmann and M. Loog, "Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database", Medical Image Analysis, 2006;10(1):19-40.
    Abstract DOI PMID Cited by ~410
  733. J. Reinhardt, B. van Ginneken and M. Sonka, "Special Issue on Pulmonary Imaging", IEEE Transactions on Medical Imaging, 2006;25(4):381-384.
    Abstract DOI Cited by ~1
  734. C. Schaefer-Prokop and M. Prokop, "MDCT for the diagnosis of acute pulmonary embolism", European Radiology, 2005;15 Suppl 4:D37-D41.
    Abstract PMID Cited by ~39
  735. J. Fütterer, M. Engelbrecht, H. Huisman, G. Jager, C. de Hulsbergen-van Kaa, J. Witjes and J. Barentsz, "Staging prostate cancer with dynamic contrast-enhanced endorectal MR imaging prior to radical prostatectomy: experienced versus less experienced readers", Radiology, 2005;237(2):541-549.
    Abstract DOI PMID Cited by ~253
  736. S. Timp, S. van Engeland and N. Karssemeijer, "A regional registration method to find corresponding mass lesions in temporal mammogram pairs", Medical Physics, 2005;32(8):2629-2638.
    Abstract DOI PMID Cited by ~31
  737. I. Sluimer, M. Prokop and B. van Ginneken, "Toward automated segmentation of the pathological lung in CT", IEEE Transactions on Medical Imaging, 2005;24(8):1025-1038.
    Abstract DOI PMID Cited by ~320
  738. H. Huisman, J. Fütterer, E. van Lin, A. Welmers, T. Scheenen, J. van Dalen, A. Visser, J. Witjes and J. Barentsz, "Prostate cancer: precision of integrating functional MR imaging with radiation therapy treatment by using fiducial gold markers", Radiology, 2005;236(1):311-317.
    Abstract DOI PMID Cited by ~69 Download
  739. D. Abásolo, R. Hornero, P. Espino, J. Poza, C. Sánchez and R. de la Rosa, "Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy", Clinical Neurophysiology, 2005;116(8):1826-1834.
    Abstract DOI PMID Cited by ~233
  740. M. Stoutjesdijk, J. Fütterer, C. Boetes, L. van Die, G. Jager and J. Barentsz, "Variability in the description of morphologic and contrast enhancement characteristics of breast lesions on magnetic resonance imaging", Investigative Radiology, 2005;40(6):355-362.
    Abstract PMID
  741. J. Otten, N. Karssemeijer, J. Hendriks, J. Groenewoud, J. Fracheboud, A. Verbeek, H. de Koning and R. Holland, "Effect of recall rate on earlier screen detection of breast cancers based on the Dutch performance indicators", Journal of the National Cancer Institute, 2005;97(10):748-754.
    Abstract DOI PMID Cited by ~115
  742. C. Varela, N. Karssemeijer, J. Hendriks and R. Holland, "Use of prior mammograms in the classification of benign and malignant masses", European Journal of Radiology, 2005;56(2):248-255.
    Abstract DOI PMID Cited by ~46
  743. M. Niemeijer, B. van Ginneken, J. Staal, M. Suttorp-Schulten and M. Abràmoff, "Automatic Detection of Red Lesions in Digital Color Fundus Photographs", IEEE Transactions on Medical Imaging, 2005;24(5):584-592.
    Abstract DOI PMID Cited by ~586
  744. M. Uffmann, U. Neitzel, M. Prokop, N. Kabalan, M. Weber, C. Herold and C. Schaefer-Prokop, "Flat-panel-detector chest radiography: effect of tube voltage on image quality", Radiology, 2005;235(2):642-650.
    Abstract DOI PMID Cited by ~68
  745. M. Uffmann, M. Prokop, E. Eisenhuber, M. Fuchsjäger, M. Weber and C. Schaefer-Prokop, "Computed radiography and direct radiography: influence of acquisition dose on the detection of simulated lung lesions", Investigative Radiology, 2005;40(5):249-256.
    Abstract PMID Cited by ~25
  746. M. Memarsadeghi, G. Heinz-Peer, T. Helbich, C. Schaefer-Prokop, G. Kramer, M. Scharitzer and M. Prokop, "Unenhanced multi-detector row CT in patients suspected of having urinary stone disease: effect of section width on diagnosis", Radiology, 2005;235(2):530-536.
    Abstract DOI PMID Cited by ~92
  747. C. Balassy, M. Prokop, M. Weber, J. Sailer, C. Herold and C. Schaefer-Prokop, "Flat-panel display (LCD) versus high-resolution gray-scale display (CRT) for chest radiography: an observer preference study", American Journal of Roentgenology, 2005;184(3):752-756.
    Abstract PMID Cited by ~48
  748. M. Uffmann, M. Prokop, W. Kupper, T. Mang, V. Fiedler and C. Schaefer-Prokop, "Soft-copy reading of digital chest radiographs: effect of ambient light and automatic optimization of monitor luminance", Investigative Radiology, 2005;40(3):180-185.
    Abstract PMID Cited by ~40
  749. W. Vogel, J. van Dalen, H. Huisman, W. Oyen and N. Karssemeijer, "Sliced alternating DICOM series: convenient visualisation of image fusion on PACS", European Journal of Nuclear Medicine and Molecular Imaging, 2005;32(2):247-248.
    Abstract DOI PMID Cited by ~5 Download
  750. E. van Lin, L. van der Vight, J. Witjes, H. Huisman, J. Leer and A. Visser, "The effect of an endorectal balloon and off-line correction on the interfraction systematic and random prostate position variations: a comparative study", International Journal of Radiation Oncology, Biology, Physics, 2005;61(1):278-288.
    Abstract DOI PMID Cited by ~108
  751. M. Loog, B. van Ginneken and R. Duin, "Dimensionality reduction of image features using the canonical contextual correlation projection", Pattern Recognition, 2005;38:2409-2418.
    Abstract DOI Cited by ~23
  752. E. Oschatz, M. Prokop, M. Scharitzer, M. Weber, C. Balassy and C. Schaefer-Prokop, "Comparison of liquid crystal versus cathode ray tube display for the detection of simulated chest lesions", European Radiology, 2005;15(7):1472-6.
    Abstract Cited by ~32
  753. T. Veninga, H. Huisman, R. van der Maazen and H. Huizenga, "Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors", Journal of Applied Clinical Medical Physics, 2004;5(3):66-79.
    Abstract PMID Cited by ~53
  754. J. van Dalen, W. Vogel, H. Huisman, W. Oyen, G. Jager and N. Karssemeijer, "Accuracy of rigid CT-FDG-PET image registration of the liver", Physics in Medicine and Biology, 2004;49(23):5393-5405.
    Abstract DOI PMID Cited by ~24 Download
  755. J. Fütterer, T. Scheenen, H. Huisman, D. Klomp, F. van Dorsten, C. de Hulsbergen-van Kaa, J. Witjes, A. Heerschap and J. Barentsz, "Initial experience of 3 tesla endorectal coil magnetic resonance imaging and 1H-spectroscopic imaging of the prostate", Investigative Radiology, 2004;39(11):671-680.
    Abstract PMID Cited by ~176
  756. P. Snoeren and N. Karssemeijer, "Thickness correction of mammographic images by means of a global parameter model of the compressed breast", IEEE Transactions on Medical Imaging, 2004;23(7):799-806.
    Abstract DOI PMID Cited by ~51
  757. S. Timp and N. Karssemeijer, "A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography", Medical Physics, 2004;31(5):958-971.
    Abstract DOI PMID Cited by ~220
  758. M. Uffmann, C. Schaefer-Prokop, U. Neitzel, M. Weber, C. Herold and M. Prokop, "Skeletal applications for flat-panel versus storage-phosphor radiography: effect of exposure on detection of low-contrast details", Radiology, 2004;231(2):506-514.
    Abstract DOI PMID Cited by ~33
  759. M. Uffmann and C. Schaefer-Prokop, "[Radiological diagnostics of Hodgkin- and non-Hodgkin lymphomas of the thorax]", Radiologe, 2004;44(5):444-456.
    Abstract DOI PMID
  760. J. Staal, M. Abràmoff, M. Niemeijer, M. Viergever and B. van Ginneken, "Ridge Based Vessel Segmentation in Color Images of the Retina", IEEE Transactions on Medical Imaging, 2004;23(4):501-509.
    Abstract DOI PMID Cited by ~2720
  761. M. de Bruijne, B. van Ginneken, M. Viergever and W. Niessen, "Interactive segmentation of abdominal aortic aneurysms in CTA images", Medical Image Analysis, 2004;8(2):127-138.
    Abstract DOI PMID Cited by ~127
  762. I. Išgum, B. van Ginneken and M. Olree, "Automatic detection of calcifications in the aorta from CT scans of the abdomen: 3D computer-aided diagnosis", Academic Radiology, 2004;11:247-257.
    Abstract DOI PMID Cited by ~46
  763. K. McLoughlin, P. Bones and N. Karssemeijer, "Noise equalization for detection of microcalcification clusters in direct digital mammogram images", IEEE Transactions on Medical Imaging, 2004;23(3):313-320.
    Abstract DOI PMID Cited by ~106
  764. J. Sailer, M. Prokop, U. Neitzel, M. Weber, P. Peloschek and C. Schaefer-Prokop, "Comparison of an automatic versus a semiautomatic mode for gray-scale adaptation for digital chest radiography", Investigative Radiology, 2004;39(6):325-33.
    Abstract Cited by ~3
  765. R. Manniesing, R. Kleihorst, A. van der Avoird and E. Hendriks, "Power analysis of a general convolution algorithm mapped on a linear processor array", Journal of {VLSI} Signal Processing Systems, 2004;37(1):5-19.
    Abstract DOI Cited by ~7
  766. I. Sluimer, P. van Waes, M. Viergever and B. van Ginneken, "Computer-aided diagnosis in high-resolution CT of the lungs", Medical Physics, 2003;30(12):3081-3090.
    Abstract DOI PMID Cited by ~181
  767. S. van Engeland, P. Snoeren, J. Hendriks and N. Karssemeijer, "A comparison of methods for mammogram registration", IEEE Transactions on Medical Imaging, 2003;22(11):1436-1444.
    Abstract DOI PMID Cited by ~101
  768. M. Fuchsjäger, C. Schaefer-Prokop, E. Eisenhuber, P. Homolka, M. Weber, M. Funovics and M. Prokop, "Impact of ambient light and window settings on the detectability of catheters on soft-copy display of chest radiographs at bedside", American Journal of Roentgenology, 2003;181(5):1415-1421.
    Abstract DOI PMID Cited by ~32
  769. M. Engelbrecht, H. Huisman, R. Laheij, G. Jager, G. van Leenders, C. de Hulsbergen-van Kaa, J. de la Rosette, J. Blickman and J. Barentsz, "Discrimination of prostate cancer from normal peripheral zone and central gland tissue by using dynamic contrast-enhanced MR imaging", Radiology, 2003;229(1):248-254.
    Abstract DOI PMID Cited by ~461 Download
  770. M. Prokop, U. Neitzel and C. Schaefer-Prokop, "Principles of image processing in digital chest radiography", Journal of Thoracic Imaging, 2003;18(3):148-164.
    Abstract PMID Cited by ~67
  771. C. Schaefer-Prokop, M. Uffmann, E. Eisenhuber and M. Prokop, "Digital radiography of the chest: detector techniques and performance parameters", Journal of Thoracic Imaging, 2003;18(3):124-137.
    Abstract PMID Cited by ~48
  772. C. Schaefer-Prokop, M. Uffmann, J. Sailer, N. Kabalan, C. Herold and M. Prokop, "[Digital thorax radiography: flat-panel detector or storage phosphor plates]", Radiologe, 2003;43(5):351-361.
    Abstract DOI PMID Cited by ~7
  773. E. Eisenhuber, A. Stadler, M. Prokop, M. Fuchsjager, M. Weber and C. Schaefer-Prokop, "Detection of monitoring materials on bedside chest radiographs with the most recent generation of storage phosphor plates: dose increase does not improve detection performance", Radiology, 2003;227(1):216-221.
    Abstract DOI PMID Cited by ~12
  774. N. Karssemeijer, J. Otten, A. Verbeek, J. Groenewoud, H. de Koning, J. Hendriks and R. Holland, "Computer-aided detection versus independent double reading of masses on mammograms", Radiology, 2003;227(1):192-200.
    Abstract DOI PMID Cited by ~162
  775. C. Schaefer-Prokop and J. Klein, "Digital chest radiography", Journal of Thoracic Imaging, 2003;18(3):123.
    Abstract
  776. I. Išgum and B. van Ginneken, "CT segmentation programs extract calcifications", Diagnostic Imaging Europe, 2003;19(6):11-16.
    Abstract Cited by ~1
  777. B. van Ginneken and B. ter Romeny, "Multi-scale texture classification from generalized locally orderless images", Pattern Recognition, 2003;36:899-911.
    Abstract DOI Cited by ~33
  778. B. van Ginneken, "Computerized detection of interstitial disease in chest radiographs", Medical Imaging Technology, 2003;21:15-20.
    Abstract DOI
  779. C. Schaefer-Prokop, M. Uffmann and A. Stadler, "[Digital radiography: from storage phosphor plates to direct detector systems]", Wiener Medizinische Wochenschrift Supplementum, 2002(113):30-34.
    Abstract PMID
  780. B. van Ginneken, A. Frangi, J. Staal, B. ter Romeny and M. Viergever, "Active shape model segmentation with optimal features", IEEE Transactions on Medical Imaging, 2002;21(8):924-933.
    Abstract DOI PMID Cited by ~652
  781. S. Puig, C. Schaefer-Prokop, T. Mang and M. Prokop, "Single- and multi-slice spiral computed tomography of the paediatric kidney", European Journal of Radiology, 2002;43(2):139-145.
    Abstract PMID Cited by ~15
  782. C. Engelke, C. Schaefer-Prokop, E. Schirg, J. Freihorst, S. Grubnic and M. Prokop, "High-resolution CT and CT angiography of peripheral pulmonary vascular disorders", Radiographics, 2002;22(4):739-764.
    Abstract PMID Cited by ~84
  783. C. Schaefer-Prokop and M. Prokop, "New imaging techniques in the treatment guidelines for lung cancer", European Respiratory Journal Supplement, 2002;35:71s-83s.
    Abstract PMID Cited by ~90
  784. B. van Ginneken, S. Katsuragawa, B. ter Haar Romeny, K. Doi and M. Viergever, "Automatic detection of abnormalities in chest radiographs using local texture analysis", IEEE Transactions on Medical Imaging, 2002;21(2):139-149.
    Abstract DOI PMID Cited by ~255
  785. B. van Ginneken, B. ter Haar Romeny and M. Viergever, "Computer-aided diagnosis in chest radiography: a survey", IEEE Transactions on Medical Imaging, 2001;20(12):1228-1241.
    Abstract DOI PMID Cited by ~597
  786. M. Giger, N. Karssemeijer and S. Armato, "Computer-aided diagnosis in medical imaging", IEEE Transactions on Medical Imaging, 2001;20(12):1205-1208.
    Abstract PMID Cited by ~154
  787. M. Stoutjesdijk and J. Barentsz, "Prophylactic mastectomy in carriers of BRCA mutations", New England Journal of Medicine, 2001;345(20):1499; author reply 1499-1499..
    Abstract DOI PMID
  788. C. Schaefer-Prokop, I. Nöbauer, C. Weidekamm and E. Katz-Papatheophilou, "[Radiological diagnosis of adult respiratory distress syndrome (ARDS)]", Wiener Medizinische Wochenschrift, 2001;151(21-23):520-523.
    Abstract PMID
  789. M. Stoutjesdijk, C. Boetes, G. Jager, L. Beex, P. Bult, J. Hendriks, R. Laheij, L. Massuger, L. van Die, T. Wobbes and J. Barentsz, "Magnetic resonance imaging and mammography in women with a hereditary risk of breast cancer", Journal of the National Cancer Institute, 2001;93(14):1095-1102.
    Abstract PMID
  790. C. Schaefer-Prokop, E. Eisenhuber, M. Fuchsjäger, S. Puig and M. Prokop, "[Current developments in the area of digital thoracic radiography]", Radiologe, 2001;41(3):230-239.
    Abstract PMID Cited by ~2
  791. C. Schaefer-Prokop, M. Prokop, D. Fleischmann and C. Herold, "High-resolution CT of diffuse interstitial lung disease: key findings in common disorders", European Radiology, 2001;11(3):373-392.
    Abstract PMID Cited by ~83
  792. H. Huisman, M. Engelbrecht and J. Barentsz, "Accurate estimation of pharmacokinetic contrast-enhanced dynamic MRI parameters of the prostate", Journal of Magnetic Resonance Imaging, 2001;13(4):607-614.
    Abstract PMID Cited by ~131 Download
  793. E. Boss, L. Massuger, L. Pop, L. Verhoef, H. Huisman, H. Boonstra and J. Barentsz, "Post-radiotherapy contrast enhancement changes in fast dynamic MRI of cervical carcinoma", Journal of Magnetic Resonance Imaging, 2001;13(4):600-606.
    Abstract DOI PMID Cited by ~49 Download
  794. G. te Brake and N. Karssemeijer, "Segmentation of suspicious densities in digital mammograms", Medical Physics, 2001;28(2):259-266.
    Abstract DOI PMID Cited by ~109
  795. H. Huisman, M. Engelbrecht and J. Barentsz, "Accurate estimation of pharmacokinetic contrast-enhanced dynamic MRI parameters of the prostate", Journal of Magnetic Resonance Imaging, 2001;13(4):607-614.
    Abstract DOI
  796. W. Veldkamp, N. Karssemeijer, J. Otten and J. Hendriks, "Automated classification of clustered microcalcifications into malignant and benign types", Medical Physics, 2000;27(11):2600-2608.
    Abstract DOI PMID Cited by ~133
  797. B. van Ginneken and B. ter Romeny, "Automatic segmentation of lung fields in chest radiographs", Medical Physics, 2000;27:2445-2455.
    Abstract DOI PMID Cited by ~138
  798. W. Veldkamp and N. Karssemeijer, "Normalization of local contrast in mammograms", IEEE Transactions on Medical Imaging, 2000;19(7):731-738.
    Abstract DOI PMID Cited by ~88
  799. G. te Brake, N. Karssemeijer and J. Hendriks, "An automatic method to discriminate malignant masses from normal tissue in digital mammograms", Physics in Medicine and Biology, 2000;45(10):2843-2857.
    Abstract PMID Cited by ~151
  800. J. van der Laak, M. Pahlplatz, A. Hanselaar and P. de Wilde, "Hue-saturation-density (HSD) model for stain recognition in digital images from transmitted light microscopy", Cytometry, 2000;39(4):275-284.
    Abstract PMID Download
  801. B. van Ginneken and B. ter Romeny, "Applications of locally orderless images", Journal of Visual Communication and Image Representation, 2000;11:196-208.
    Abstract DOI Cited by ~17
  802. C. van Gils, J. Hendriks, R. Holland, N. Karssemeijer, J. Otten, H. Straatman and A. Verbeek, "Changes in mammographic breast density and concomitant changes in breast cancer risk", European Journal of Cancer Prevention, 1999;8(6):509-515.
    Abstract PMID Cited by ~105
  803. N. Karssemeijer, W. Veldkamp, G. te Brake and J. Hendriks, "[Reading screening mammograms with the help of neural networks]", Nederlands Tijdschrift voor Geneeskunde, 1999;143(45):2232-2236.
    Abstract PMID Cited by ~12
  804. J. Barentsz, M. Engelbrecht, G. Jager, J. Witjes, J. de LaRosette, B. van Der Sanden, H. Huisman and A. Heerschap, "Fast dynamic gadolinium-enhanced MR imaging of urinary bladder and prostate cancer", Journal of Magnetic Resonance Imaging, 1999;10(3):295-304.
    Abstract DOI PMID Cited by ~172
  805. G. te Brake and N. Karssemeijer, "Single and multiscale detection of masses in digital mammograms", IEEE Transactions on Medical Imaging, 1999;18(7):628-639.
    Abstract DOI PMID Cited by ~161
  806. C. Schaefer-Prokop, "Chest radiography: potential and limitations", Minerva Anestesiol, 1999;65(5 Suppl 1):10-11.
    Abstract PMID
  807. B. van Ginneken, J. Koenderink and K. Dana, "Texture histograms as a function of irradiation and viewing direction", International Journal of Computer Vision, 1999;31(2-3):169-184.
    Abstract DOI Cited by ~65
  808. K. Dana, B. van Ginneken, S. Nayar and J. Koenderink, "Reflectance and texture of real world surfaces", ACM Transactions on Graphics, 1999;18(1):1-34.
    Abstract DOI Cited by ~1745
  809. B. van Ginneken, M. Stavridi and J. Koenderink, "Diffuse and specular reflectance from rough surfaces", Applied Optics, 1998;37(1):130-139.
    Abstract DOI PMID Cited by ~191
  810. H. Huisman and J. Thijssen, "An in vivo ultrasonic model of liver parenchyma", IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 1998;45(3):739-750.
    Abstract DOI PMID Cited by ~13
  811. H. Huisman and J. Thijssen, "Adaptive texture feature extraction with application to ultrasonic image analysis", Ultrasonic Imaging, 1998;20(2):132-148.
    Abstract DOI PMID Cited by ~26 Download
  812. G. te Brake, N. Karssemeijer and J. Hendriks, "Automated detection of breast carcinomas not detected in a screening program", Radiology, 1998;207(2):465-471.
    Abstract PMID Cited by ~106
  813. N. Karssemeijer, "Automated classification of parenchymal patterns in mammograms", Physics in Medicine and Biology, 1998;43(2):365-378.
    Abstract DOI PMID Cited by ~337
  814. H. Huisman, J. Thijssen, D. Wagener and G. Rosenbusch, "Quantitative ultrasonic analysis of liver metastases", Ultrasound in Medicine and Biology, 1998;24(1):67-77.
    Abstract DOI PMID Cited by ~26 Download
  815. M. Stavridi, B. van Ginneken and J. Koenderink, "Surface bidirectional reflection distribution function and the texture of bricks and tiles", Applied Optics, 1997;36(16):3717-3725.
    Abstract DOI PMID Cited by ~15
  816. M. Prokop and C. Schaefer-Prokop, "Digital image processing", European Radiology, 1997;7(11):S73-S82.
    Abstract PMID
  817. C. Schaefer-Prokop and M. Prokop, "Storage phosphor radiography", European Radiology, 1997;7 Suppl 3:S58-S65.
    Abstract PMID Cited by ~50
  818. N. Karssemeijer and J. Hendriks, "Computer-assisted reading of mammograms", European Radiology, 1997;7(5):743-748.
    Abstract DOI PMID Cited by ~77
  819. M. Prokop, H. Shin, A. Schanz and C. Schaefer-Prokop, "Use of maximum intensity projections in CT angiography: a basic review", Radiographics, 1997;17(2):433-451.
    Abstract PMID Cited by ~140
  820. M. Prokop, C. Schaefer-Prokop and M. Galanski, "Spiral CT angiography of the abdomen", Abdominal Imaging, 1997;22(2):143-153.
    Abstract PMID Cited by ~48
  821. C. Schaefer-Prokop and M. Prokop, "Digital radiography of the chest: comparison of the selenium detector with other imaging systems", Medica Mundi, 1997;41(1):2-11.
    Abstract Cited by ~10
  822. N. Karssemeijer and G. te Brake, "Detection of stellate distortions in mammograms", IEEE Transactions on Medical Imaging, 1996;15(5):611-619.
    Abstract DOI PMID Cited by ~373
  823. H. Huisman and J. Thijssen, "Precision and accuracy of acoustospectrographic parameters", Ultrasound in Medicine and Biology, 1996;22(7):855-871.
    Abstract DOI PMID Cited by ~58 Download
  824. J. Barentsz, G. Jager, P. van Vierzen, J. Witjes, S. Strijk, H. Peters, N. Karssemeijer and S. Ruijs, "Staging urinary bladder cancer after transurethral biopsy: value of fast dynamic contrast-enhanced MR imaging", Radiology, 1996;201(1):185-193.
    Abstract PMID Cited by ~222
  825. C. Schaefer-Prokop, M. Prokop, A. Schmidt, U. Neitzel and M. Galanski, "Selenium radiography versus storage phosphor and conventional radiography in the detection of simulated chest lesions", Radiology, 1996;201(1):45-50.
    Abstract PMID Cited by ~71
  826. M. Prokop, C. Schaefer-Prokop and M. Galanski, "[Spiral CT of the lung. Technique, findings, value]", Radiologe, 1996;36(6):457-469.
    Abstract PMID Cited by ~13
  827. N. Karssemeijer and M. Thijssen, "Determination of contrast-detail curves of mammography systems by automated image analysis", Digital Mammography, 1996;96:155-160.
    Abstract Cited by ~91
  828. C. Olbricht, K. Paul, M. Prokop, A. Chavan, C. Schaefer-Prokop, K. Jandeleit, K. Koch and M. Galanski, "Minimally invasive diagnosis of renal artery stenosis by spiral computed tomography angiography", Kidney International, 1995;48(4):1332-1337.
    Abstract PMID Cited by ~135
  829. A. Leppert, M. Prokop, C. Schaefer-Prokop and M. Galanski, "Detection of simulated chest lesions: comparison of a conventional screen-film combination, an asymmetric screen-film system, and storage phosphor radiography", Radiology, 1995;195(1):259-263.
    Abstract PMID Cited by ~21
  830. T. de Rooij, J. Oestmann, L. Schultze Kool, H. Vrooman, M. Prokop and C. Schaefer, "Application of AMBER in single- and dual-energy digital imaging: improvement in noise level and display dynamic range", Radiographics, 1994;14(2):407-414.
    Abstract PMID Cited by ~2
  831. A. Berkhoff, H. Huisman, J. Thijssen, E. Jacobs and R. Homan, "Fast scan conversion algorithms for displaying ultrasound sector images", Ultrasonic Imaging, 1994;16(2):87-108.
    Abstract DOI PMID Cited by ~47
  832. W. Kalender, K. Wedding, A. Polacin, M. Prokop, C. Schaefer-Prokop and M. Galanski, "[Basic principles of vascular imaging with spiral CT]", Aktuelle Radiologie, 1994;4(6):287-297.
    Abstract PMID Cited by ~9
  833. M. Galanski, M. Prokop, A. Chavan, C. Schaefer, K. Jandeleit and C. Olbricht, "[Accuracy of CT angiography in the diagnosis of renal artery stenosis]", RöFo, 1994;161(6):519-525.
    Abstract DOI PMID Cited by ~35
  834. N. Karssemeijer, J. Frieling and J. Hendriks, "Spatial resolution in digital mammography", Investigative Radiology, 1993;28(5):413-419.
    Abstract PMID Cited by ~121
  835. M. Prokop, C. Schaefer, J. Oestmann and M. Galanski, "Improved parameters for unsharp mask filtering of digital chest radiographs", Radiology, 1993;187(2):521-526.
    Abstract PMID Cited by ~61
  836. C. Schaefer and M. Prokop, "Storage phosphor radiography of the chest", Radiology, 1993;186(2):314-315.
    Abstract PMID Cited by ~22
  837. M. Galanski, M. Prokop, A. Chavan, C. Schaefer, K. Jandeleit and J. Nischelsky, "Renal arterial stenoses: spiral CT angiography", Radiology, 1993;189(1):185-192.
    Abstract PMID Cited by ~326
  838. A. Chavan, M. Galanski, K. Jandeleit, M. Prokop and C. Schaefer, "The kissing balloons technique. Simultaneous dilatation of stenoses of branch arteries at the bifurcation of the renal artery", Acta Radiologica, 1993;34(5):486-488.
    Abstract DOI PMID Cited by ~16
  839. T. Graeter, C. Schaefer, M. Prokop and J. Laas, "Three-dimensional vascular imaging--an additional diagnostic tool", Thoracic and Cardiovascular Surgeon, 1993;41(3):183-185.
    Abstract DOI PMID Cited by ~22
  840. M. Galanski, A. Chavan, M. Prokop, C. Schaefer and J. Harms, "Current status of the imaging modalities in the pre- and postoperative diagnostic workup of liver transplant patients", Bildgebung, 1993;60(2):56-62.
    Abstract PMID Cited by ~1
  841. M. Prokop, C. Schaefer, W. Kalender, A. Polacin and M. Galanski, "[Vascular imaging with spiral-CT. The path to CT-angiography]", Radiologe, 1993;33(12):694-704.
    Abstract PMID
  842. N. Karssemeijer, "Adaptive noise equalization and recognition of microcalcification clusters in mammograms", Int J Patt Recogn Artif Intell, 1993;7:1357-1375.
    Abstract DOI Cited by ~203
  843. M. Galanski, M. Prokop, E. Thorns, J. Oestmann, S. Reichelt, B. Haubitz, H. Milbradt, A. Gräser, L. Verner and C. Schaefer, "The visibility of a central venous catheter using digital luminescence radiography in intensive care radiology", RöFo, 1992;156(1):68-72.
    Abstract DOI PMID Cited by ~5
  844. C. Schaefer, M. Prokop, J. Oestmann, W. Wiesmann, B. Haubitz, A. Meschede, S. Reichelt, E. Schirg, H. Stender and M. Galanski, "Impact of hard-copy size on observer performance in digital chest radiography", Radiology, 1992;184(1):77-81.
    Abstract DOI PMID Cited by ~43
  845. H. Nab, N. Karssemeijer, L. Erning and J. Hendriks, "Comparison of digital and conventional mammography: a ROC study of 270 mammograms", Medical Informatics, 1992;17(2):125-131.
    Abstract PMID Cited by ~45
  846. M. Galanski, E. Schmoll, S. Reichelt, G. Böhmer, M. Prokop, C. Schaefer, A. Schüler, B. Ringe, F. Schmidt and H. Schmoll, "Chemoembolization of hepatocellular carcinoma in cases of isolated liver involvement", Radiologe, 1992;32(2):49-55.
    Abstract PMID
  847. N. Karssemeijer, "Stochastic model for automated detection of calcifications in digital mammograms", Image and Vision Computing, 1992;10(6):369 - 375.
    Abstract DOI Cited by ~82
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Preprints

  1. J. van der Graaf, M. van Hooff, C. Buckens, M. Rutten, J. van Susante, R. Kroeze, M. de Kleuver, B. van Ginneken and N. Lessmann, "Lumbar spine segmentation in MR images: a dataset and a public benchmark", arXiv:2306.12217, 2023.
    Abstract arXiv
  2. A. Reinke, M. Tizabi, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, A. Kavur, T. Rädsch, C. Sudre, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, M. Blaschko, F. Büttner, M. Cardoso, V. Cheplygina, J. Chen, E. Christodoulou, B. Cimini, G. Collins, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, B. Glocker, P. Godau, R. Haase, D. Hashimoto, M. Hoffman, M. Huisman, F. Isensee, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, A. Karthikesalingam, H. Kenngott, J. Kleesiek, F. Kofler, T. Kooi, A. Kopp-Schneider, M. Kozubek, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, P. Mattson, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, S. Rafelski, N. Rajpoot, M. Reyes, M. Riegler, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, M. van Smeden, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux, M. Wiesenfarth, Z. Yaniv, P. Jäger and L. Maier-Hein, "Understanding metric-related pitfalls in image analysis validation", arXiv:2302.01790, 2023.
    Abstract arXiv
  3. B. de Wilde, A. Saha, R. ten Broek and H. Huisman, "Medical diffusion on a budget: textual inversion for medical image generation", arXiv:2303.13430, 2023.
    Abstract arXiv
  4. M. Antonelli, A. Reinke, S. Bakas, K. Farahani, AnnetteKopp-Schneider, B. Landman, G. Litjens, B. Menze, O. Ronneberger, R. Summers, B. van Ginneken, M. Bilello, P. Bilic, P. Christ, R. Do, M. Gollub, S. Heckers, H. Huisman, W. Jarnagin, M. McHugo, S. Napel, J. Pernicka, K. Rhode, C. Tobon-Gomez, E. Vorontsov, H. Huisman, J. Meakin, S. Ourselin, M. Wiesenfarth, P. Arbelaez, B. Bae, S. Chen, L. Daza, J. Feng, B. He, F. Isensee, Y. Ji, F. Jia, N. Kim, I. Kim, D. Merhof, A. Pai, B. Park, M. Perslev, R. Rezaiifar, O. Rippel, I. Sarasua, W. Shen, J. Son, C. Wachinger, L. Wang, Y. Wang, Y. Xia, D. Xu, Z. Xu, Y. Zheng, A. Simpson, L. Maier-Hein and M. Cardoso, "The Medical Segmentation Decathlon", arXiv preprint arXiv:2106.05735, 2021.
    Abstract arXiv
  5. A. Hering, L. Hansen, T. Mok, A. Chung, H. Siebert, S. Häger, A. Lange, S. Kuckertz, S. Heldmann, W. Shao and others, "Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning", arXiv preprint arXiv:2112.04489, 2021.
    Abstract arXiv
  6. W. Xie, C. Jacobs and B. van Ginneken, "Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients", arXiv:2105.11748, 2021.
    Abstract arXiv
  7. A. Reinke, M. Eisenmann, M. Tizabi, C. Sudre, T. Radsch, M. Antonelli, T. Arbel, S. Bakas, M. Cardoso, V. Cheplygina, K. Farahani, B. Glocker, D. Heckmann-Notzel, F. Isensee, P. Jannin, C. Kahn, J. Kleesiek, T. Kurc, M. Kozubek, B. Landman, G. Litjens, K. Maier-Hein, B. Menze, H. Muller, J. Petersen, M. Reyes, N. Rieke, B. Stieltjes, R. Summers, S. Tsaftaris, B. van Ginneken, A. Kopp-Schneider, P. Jager and L. Maier-Hein, "Common Limitations of Image Processing Metrics: A Picture Story", arXiv preprint arXiv:2104.05642, 2021.
    Abstract arXiv
  8. S. Zhou, H. Greenspan, C. Davatzikos, J. Duncan, B. van Ginneken, A. Madabhushi, J. Prince, D. Rueckert and R. Summers, "A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises", arXiv:2008.09104, 2020.
    Abstract arXiv
  9. P. Muller, B. Liefers, T. Treis, F. Gomes Rodrigues, A. Olvera-Barrios, B. Paul, N. Dhingra, A. Lotery, C. Bailey, P. Taylor, C. Sánchez and A. Tufail, "Reliability of retinal pathology quantification in age-related macular degeneration: Implications for clinical trials and machine learning applications", medrxiv, 2020.
    Abstract DOI
  10. A. Meyer, G. Chlebus, M. Rak, D. Schindele, M. Schostak, B. van Ginneken, A. Schenk, H. Meine, H. Hahn, A. Schreiber and C. Hansen, "Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI", arXiv:2009.11120, 2020.
    Abstract arXiv
  11. N. Lessmann and B. van Ginneken, "Random smooth gray value transformations for cross modality learning with gray value invariant networks", arXiv:2003.06158, 2020.
    Abstract arXiv
  12. P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan and M. Welling, "i-RIM applied to the fastMRI challenge", arXiv:1910.08952, 2019.
    Abstract arXiv
  13. P. Bilic, P. Christ, E. Vorontsov, G. Chlebus, H. Chen, Q. Dou, C. Fu, X. Han, P. Heng, J. Hesser, S. Kadoury, T. Konopczynski, M. Le, C. Li, X. Li, J. Lipkova, J. Lowengrub, H. Meine, J. Moltz, C. Pal, M. Piraud, X. Qi, J. Qi, M. Rempfler, K. Roth, A. Schenk, A. Sekuboyina, E. Vorontsov, P. Zhou, C. Hulsemeyer, M. Beetz, F. Ettlinger, F. Gruen, G. Kaissis, F. Lohofer, R. Braren, J. Holch, F. Hofmann, W. Sommer, V. Heinemann, C. Jacobs, G. Humpire Mamani, B. van Ginneken, G. Chartrand, A. Tang, M. Drozdzal, A. Ben-Cohen, E. Klang, M. Amitai, E. Konen, H. Greenspan, J. Moreau, A. Hostettler, L. Soler, R. Vivanti, A. Szeskin, N. Lev-Cohain, J. Sosna, L. Joskowicz and B. Menze, "The Liver Tumor Segmentation Benchmark (LiTS)", arXiv:1901.04056, 2019.
    Abstract arXiv Cited by ~82
  14. M. Argus, C. Schaefer-Prokop, D. Lynch and B. van Ginneken, "Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans", arXiv:1909.12047, 2019.
    Abstract arXiv
  15. L. Maier-Hein, A. Reinke, M. Kozubek, A. L. Martel, T. Arbel, M. Eisenmann, A. Hanbuary, P. Jannin, H. Muller, S. Onogur, J. Saez-Rodriguez, B. van Ginneken, A. Kopp-Schneider and B. Landman, "BIAS: Transparent reporting of biomedical image analysis challenges", arXiv:1910.04071, 2019.
    Abstract arXiv
  16. B. Liefers, J. Colijn, C. González-Gonzalo, T. Verzijden, P. Mitchell, C. Hoyng, B. van Ginneken, C. Klaver and C. Sánchez, "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", arXiv:1908.05621, 2019.
    Abstract arXiv
  17. A. Simpson, M. Antonelli, S. Bakas, M. Bilello, K. Farahani, B. van Ginneken, A. Kopp-Schneider, B. Landman, G. Litjens, B. Menze, O. Ronneberger, R. Summers, P. Bilic, P. Christ, R. Do, M. Gollub, J. Golia-Pernicka, S. Heckers, W. Jarnagin, M. McHugo, S. Napel, E. Vorontsov, L. Maier-Hein and M. Cardoso, "A large annotated medical image dataset for the development and evaluation of segmentation algorithms", arXiv:1902.09063, 2019.
    Abstract arXiv Cited by ~75
  18. K. Murphy, S. Habib, S. Zaidi, S. Khowaja, A. Khan, J. Melendez, E. Scholten, F. Amad, S. Schalekamp, M. Verhagen, R. Philipsen, A. Meijers and B. van Ginneken, "Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system", arXiv:1903.03349, 2019.
    Abstract arXiv
  19. C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks", arXiv:1910.07373, 2019.
    Abstract arXiv
  20. R. Dilz, L. Schröder, N. Moriakov, J. Sonke and J. Teuwen, "Learned SIRT for Cone Beam Computed Tomography Reconstruction", arXiv:1908.10715, 2019.
    Abstract arXiv
  21. S. Hu, D. Worrall, S. Knegt, B. Veeling, H. Huisman and M. Welling, "Supervised uncertainty quantification for segmentation with multiple annotations", arXiv:1907.01949, 2019.
    Abstract arXiv Cited by ~12
  22. T. de Moor, A. Rodriguez-Ruiz, R. Mann and J. Teuwen, "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", arXiv:1802.06865, 2018.
    Abstract arXiv
  23. G. Aresta, C. Jacobs, T. Araújo, A. Cunha, I. Ramos, B. van Ginneken and A. Campilho, "iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network", arXiv:1811.12789, 2018.
    Abstract arXiv
  24. J. Teuwen and P. Urbach, "On Maximum Focused Electric Energy in Bounded Regions", arXiv:1801.02450, 2018.
    Abstract arXiv
  25. S. Kazeminia, C. Baur, A. Kuijper, B. van Ginneken, N. Navab, S. Albarqouni and A. Mukhopadhyay, "GANs for Medical Image Analysis", arXiv:1809.06222, 2018.
    Abstract arXiv Cited by ~55
  26. G. Mooij, I. Bagulho and H. Huisman, "Automatic segmentation of prostate zones", arXiv:1806.07146, 2018.
    Abstract arXiv Cited by ~10
  27. E. Sogancioglu, S. Hu, D. Belli and B. van Ginneken, "Chest X-ray Inpainting with Deep Generative Models", arXiv:1809.01471, 2018.
    Abstract arXiv Cited by ~4
  28. A. de Gelder and H. Huisman, "Autoencoders for Multi-Label Prostate MR Segmentation", arXiv:1806.08216, 2018.
    Abstract arXiv Cited by ~3
  29. D. Belli, S. Hu, E. Sogancioglu and B. van Ginneken, "Chest X-Rays Image Inpainting with Context Encoders", arXiv:1812.00964, 2018.
    Abstract arXiv

Papers in conference proceedings

  1. A. Saha, J. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge", Medical Imaging with Deep Learning, 2023.
    Abstract Url
  2. J. Spronck, T. Gelton, L. van Eekelen, J. Bogaerts, L. Tessier, M. van Rijthoven, L. van der Woude, M. van den Heuvel, W. Theelen, J. van der Laak and F. Ciompi, "nnUNet meets pathology: bridging the gap for application to whole-slide images and computational biomarkers", Medical Imaging with Deep Learning, 2023.
    Abstract Url
  3. D. Schouten and G. Litjens, "PythoStitcher: an iterative approach for stitching digitized tissue fragments into full resolution whole-mount reconstructions", Medical Imaging, 2023;12471:1247118.
    Abstract DOI
  4. J. Bosma, D. Peeters, N. Alves, A. Saha, Z. Saghir, C. Jacobs and H. Huisman, "Reproducibility of Training Deep Learning Models for Medical Image Analysis", Medical Imaging with Deep Learning, 2023.
    Abstract Url
  5. P. Vendittelli, J. Bokhorst, E. Smeets, V. Kryklyva, L. Brosens, C. Verbeke and G. Litjens, "Automatic quantification of TSR as a prognostic marker for pancreatic cancer.", Medical Imaging with Deep Learning, 2023.
    Abstract Url
  6. E. Chelebian and F. Ciompi, "Seeded iterative clustering for histology region identification", Learning Meaningful Representations of Life, NeurIPS 2022, 2022.
    Abstract
  7. N. Alves and B. de Wilde, "Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation", Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022:116-127.
    Abstract DOI
  8. L. Studer, J. Bokhorst, F. Ciompi, A. Fischer and H. Dawson, "Building-T-cell score is a potential predictor for more aggressive treatment in pT1 colorectal cancers", Proceedings of the ECDP 2022 18th European Congress on Digital Pathology, 2022.
    Abstract
  9. D. Geijs, H. Pinckaers, A. Amir and G. Litjens, "End-to-end classification on basal-cell carcinoma histopathology whole-slides images", Medical Imaging, 2021;11603:1160307.
    Abstract DOI
  10. A. Saha, J. Bosma, J. Linmans, M. Hosseinzadeh and H. Huisman, "Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI -- Should Different Clinical Objectives Mandate Different Loss Functions?", Medical Imaging Meets NeurIPS Workshop - 35th Conference on Neural Information Processing Systems (NeurIPS), 2021.
    Abstract arXiv
  11. N. Marini, S. Otalora, F. Ciompi, G. Silvello, S. Marchesin, S. Vatrano, G. Buttafuoco, M. Atzori, H. Muller, N. Burlutskiy, Z. Li, F. Minhas, T. Peng, N. Rajpoot, B. Torbennielsen, J. Der Van Laak, M. Veta, Y. Yuan and I. Zlobec, "Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations", 2021.
    Abstract
  12. G. Smit, F. Ciompi, M. Cigéhn, A. Bodén, J. van der Laak and C. Mercan, "Quality control of whole-slide images through multi-class semantic segmentation of artifacts", Medical Imaging with Deep Learning, 2021.
    Abstract Url
  13. M. van Rijthoven, M. Balkenhol, M. Atzori, P. Bult, J. van der Laak and F. Ciompi, "Few-shot weakly supervised detection and retrieval in histopathology whole-slide images", Medical Imaging, 2021;11603:137 - 143.
    Abstract DOI
  14. S. Häger, S. Heldmann, A. Hering, S. Kuckertz and A. Lange, "Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge", Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data. MICCAI 2020, 2021;12587:74-79.
    Abstract DOI
  15. A. Reinke, M. Eisenmann, M. Tizabi, C. Sudre, T. Radsch, M. Antonelli, T. Arbel, S. Bakas, J. Cardoso, V. Cheplygina, K. Farahani, B. Glocker, D. Heckmann-Notzel, F. Isensee, P. Jannin, C. Kahn, J. Kleesiek, T. Kurc, M. Kozubek, B. Landman, G. Litjens, K. Maier-Hein, A. Martel, H. Muller, J. Petersen, M. Reyes, N. Rieke, B. Stieltjes, R. Summers, S. Tsaftaris, B. van Ginneken, A. Kopp-Schneider, P. Jager and L. Maier-Hein, "Common limitations of performance metrics in biomedical image analysis", Medical Imaging with Deep Learning, 2021.
    Abstract DOI
  16. K. Faryna, J. van der Laak and G. Litjens, "Tailoring automated data augmentation to H&E-stained histopathology", Medical Imaging with Deep Learning, 2021.
    Abstract Url
  17. A. Hering, F. Peisen, T. Amaral, S. Gatidis, T. Eigentler, A. Othman and J. Moltz, "Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies", Medical Imaging with Deep Learning, 2021.
    Abstract Url
  18. R. Fick, B. Tayart, C. Bertrand, S. Lang, T. Rey, F. Ciompi, C. Tilmant, I. Farre and S. Hadj, "A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution", 2021 43rd Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society ({EMBC}), 2021.
    Abstract DOI
  19. J. Vermazeren, L. van Eekelen, L. Meesters, M. Looijen-Salamon, S. Vos, E. Munari, C. Mercan and F. Ciompi, "muPEN: Multi-class PseudoEdgeNet for PD-L1 assessment", Medical Imaging with Deep Learning, 2021.
    Abstract Url
  20. W. Aswolinskiy, D. Tellez, G. Raya, L. van der Woude, M. Looijen-Salamon, J. van der Laak, K. Grunberg and F. Ciompi, "Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images", Medical Imaging 2021: Digital Pathology, 2021;11603:1 - 7.
    Abstract DOI
  21. W. Xie, C. Jacobs and B. van Ginneken, "Deep Clustering Activation Maps for Emphysema Subtyping", Medical Imaging with Deep Learning, 2021.
    Abstract Url
  22. B. de Wilde, R. ten Broek and H. Huisman, "Cine-MRI detection of abdominal adhesions with spatio-temporal deep learning", Medical Imaging with Deep Learning, 2021.
    Abstract arXiv
  23. H. Altun, G. Chlebus, C. Jacobs, H. Meine, B. van Ginneken and H. Hahn, "Feasibility of End-To-End Trainable Two-Stage U-Net for Detection of Axillary Lymph Nodes in Contrast-Enhanced CT Based Scans on Sparse Annotations", Medical Imaging, 2020:113141C.
    Abstract DOI
  24. Z. Swiderska-Chadaj, K. Nurzynska, G. Bartlomiej, K. Grunberg, L. van der Woude, M. Looijen-Salamon, A. Walts, T. Markiewicz, F. Ciompi and A. Gertych, "A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma", Medical Imaging, 2020;11320:113200D.
    Abstract DOI
  25. D. Tellez, D. Hoppener, C. Verhoef, D. Grunhagen, P. Nierop, M. Drozdzal, J. van der Laak and F. Ciompi, "Extending Unsupervised Neural Image Compression With Supervised Multitask Learning", Medical Imaging with Deep Learning, 2020.
    Abstract
  26. K. Michielsen, N. Moriakov, J. Teuwen and I. Sechopoulos, "Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis", 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.
    Abstract
  27. J. Linmans, J. van der Laak and G. Litjens, "Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks", Medical Imaging with Deep Learning, 2020:465-478.
    Abstract Url
  28. L. van Eekelen, H. Pinckaers, K. Hebeda and G. Litjens, "Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images", Medical Imaging, 2020;11320:113200B.
    Abstract DOI
  29. A. Hering and S. Heldmann, "mlVIRNET: Improved Deep Learning Registration Using a Coarse to Fine Approach to Capture all Levels of Motion", Bildverarbeitung für die Medizin, 2020:175.
    Abstract DOI
  30. A. Saha, M. Hosseinzadeh and H. Huisman, "Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI", Medical Imaging Meets NeurIPS Workshop - 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.
    Abstract arXiv
  31. X. Yu, B. Lou, B. Shi, D. Winkel, N. Arrahmane, M. Diallo, T. Meng, H. von Busch, R. Grimm, B. Kiefer, D. Comaniciu, A. Kamen, H. Huisman, A. Rosenkrantz, T. Penzkofer, I. Shabunin, M. Choi, Q. Yang and D. Szolar, "False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans", IEEE International Symposium on Biomedical Imaging, 2020.
    Abstract DOI
  32. K. Faryna, K. Koschmieder, M. Paul, T. van den Heuvel, A. van der Eerden, R. Manniesing and B. van Ginneken, "Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation", Medical Imaging Meets NeurIPS Workshop - 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.
    Abstract arXiv
  33. B. Lassen-Schmidt, A. Hering, S. Krass and H. Meine, "Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function", Medical Imaging with Deep Learning, 2020.
    Abstract Url
  34. Z. Swiderska-Chadaj, E. Stoelinga, A. Gertych and F. Ciompi, "Multi-Patch Blending improves lung cancer growth pattern segmentation in whole-slide images", IEEE International Conference on Computational Problems of Electrical Engineering, 2020.
    Abstract DOI
  35. A. Saha, F. Tushar, K. Faryna, V. D'Anniballe, R. Hou, M. Mazurowski, G. Rubin and J. Lo, "Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features", Medical Imaging, 2020;11314:39 - 44.
    Abstract DOI arXiv
  36. A. Saha, P. Prasad and A. Thabit, "Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation", IEEE International Symposium on Biomedical Imaging, 2020:2014-2017.
    Abstract DOI arXiv
  37. C. Mercan, G. Reijnen-Mooij, D. Martin, J. Lotz, N. Weiss, M. van Gerven and F. Ciompi, "Virtual staining for mitosis detection in Breast Histopathology", IEEE International Symposium on Biomedical Imaging, 2020:1770-1774.
    Abstract DOI
  38. N. Moriakov, J. Adler and J. Teuwen, "Kernel of CycleGAN as a principal homogeneous space", International Conference on Learning Representations, 2020.
    Abstract Url
  39. K. Faryna, F. Tushar, V. D'Anniballe, R. Hou, G. Rubin and J. Lo, "Attention-guided classification of abnormalities in semi-structured computed tomography reports", Medical Imaging, 2020;11314:397 - 403.
    Abstract DOI
  40. Z. Swiderska-Chadaj, K. Hebeda, M. van den Brand and G. Litjens, "Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning", Medical Imaging, 2020;11320:1132010.
    Abstract DOI
  41. D. Ruhe, V. Codreanu, C. van Leeuwen, D. Podareanu, V. Saletore and J. Teuwen, "Generating CT-scans with 3D Generative Adversarial Networks Using a Supercomputer", Medical Imaging meets NeurIPS, 2019.
    Abstract
  42. M. Caballo, J. Teuwen, R. Mann and I. Sechopolous, "Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images", Medical Imaging, 2019.
    Abstract DOI
  43. A. Hering, B. van Ginneken and S. Heldmann, "mlVIRNET: Multilevel Variational Image Registration Network", Medical Image Computing and Computer-Assisted Intervention, 2019;11769:257-265.
    Abstract DOI arXiv Cited by ~5
  44. J. van Vugt, E. Marchiori, R. Mann, A. Gubern-Merida, N. Moriakov and J. Teuwen, "Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation", Medical Imaging, 2019.
    Abstract DOI
  45. N. Moriakov, K. Michielsen, R. Mann, J. Adler, I. Sechopolous and J. Teuwen, "Deep learning framework for digital breast tomosynthesis reconstruction", Medical Imaging, 2019.
    Abstract DOI arXiv
  46. N. Lessmann, J. Wolterink, M. Zreik, M. Viergever, B. van Ginneken and I. Isgum, "Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network", Medical Imaging with Deep Learning, 2019.
    Abstract arXiv Cited by ~1
  47. K. Dercksen, W. Bulten and G. Litjens, "Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification", Medical Imaging with Deep Learning, 2019.
    Abstract Url Cited by ~2
  48. T. de Bel, M. Hermsen, J. Kers, J. van der Laak and G. Litjens, "Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology", Medical Imaging with Deep Learning, 2019.
    Abstract Url Cited by ~9
  49. T. van der Ouderaa, D. Worrall and B. van Ginneken, "Chest CT Super-resolution and Domain-adaptation using Memory-efficient 3D Reversible GANs", Medical Imaging with Deep Learning, 2019.
    Abstract Url
  50. H. Meine and A. Hering, "Efficient prealignment of CT scans for registration through a bodypart regressor", Medical Imaging with Deep Learning, 2019.
    Abstract Url
  51. H. Pinckaers, W. Bulten and G. Litjens, "High resolution whole prostate biopsy classification using streaming stochastic gradient descent", Medical Imaging, 2019(1).
    Abstract DOI Cited by ~1
  52. J. Bokhorst, H. Pinckaers, P. van Zwam, I. Nagetgaal, J. van der Laak and F. Ciompi, "Learning from sparsely annotated data for semantic segmentation in histopathology images", Medical Imaging with Deep Learning, 2019;102:81-94.
    Abstract Url Cited by ~2
  53. S. van Velzen, M. Zreik, N. Lessmann, M. Viergever, P. de Jong, H. Verkooijen and I. Išgum, "Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning", Medical Imaging, 2019.
    Abstract DOI
  54. M. Hosseinzadeh, P. Brand and H. Huisman, "Effect of Adding Probabilistic Zonal Prior in Deep Learning-based Prostate Cancer Detection", Medical Imaging with Deep Learning, 2019.
    Abstract Url Cited by ~1
  55. C. Mercan, M. Balkenhol, J. van der Laak and F. Ciompi, "From Point Annotations to Epithelial Cell Detection in Breast Cancer Histopathology using RetinaNet", Medical Imaging with Deep Learning, 2019.
    Abstract Url
  56. E. Calli, E. Sogancioglu, E. Scholten, K. Murphy and B. van Ginneken, "Handling label noise through model confidence and uncertainty: application to chest radiograph classification", Medical Imaging, 2019(1).
    Abstract DOI Cited by ~4
  57. B. Liefers, C. González-Gonzalo, C. Klaver, B. van Ginneken and C. Sánchez, "Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography", Medical Imaging with Deep Learning, 2019;102:337-346.
    Abstract Url Cited by ~2
  58. T. van den Heuvel, C. de Korte and B. van Ginneken, "Automated interpretation of prenatal ultrasound using a predefined acquisition protocol in resource-limited countries", Medical Imaging with Deep Learning, 2019.
    Abstract Url
  59. A. Hering and S. Heldmann, "Unsupervised Learning for Large Motion Thoracic CT Follow-Up Registration", Medical Imaging, 2019;10949:109491B.
    Abstract DOI
  60. E. Calli, K. Murphy, E. Sogancioglu and B. van Ginneken, "FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis", Medical Imaging with Deep Learning, 2019.
    Abstract Url Cited by ~4
  61. A. Hering, S. Kuckertz, S. Heldmann and M. Heinrich, "Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking", Bildverarbeitung für die Medizin, 2019:309-314.
    Abstract arXiv
  62. M. Ghafoorian, J. Teuwen, R. Manniesing, F. de Leeuw, B. van Ginneken, N. Karssemeijer and B. Platel, "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", Medical Imaging, 2018;10574:105742U.
    Abstract DOI arXiv Cited by ~14
  63. E. Gibson, Yipeng, H. Ghavami, H. Ahmed, C. Moore, M. Emberton, H. Huisman and D. Barratt, "Inter-site variability in prostate segmentation accuracy using deep learning", Medical Image Computing and Computer-Assisted Intervention, 2018.
    Abstract DOI Cited by ~15
  64. S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Stacked Bidirectional Convolutional LSTMs for 3D Non-contrast CT Reconstruction from Spatiotemporal 4D CT", Medical Imaging with Deep Learning, 2018.
    Abstract Url Cited by ~1
  65. S. van de Leemput, J. Teuwen and R. Manniesing, "MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks", International Conference on Learning Representations, 2018.
    Abstract Url Cited by ~5
  66. W. Bulten and G. Litjens, "Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders", Medical Imaging with Deep Learning, 2018.
    Abstract Url Cited by ~8
  67. W. Bulten, C. de Kaa, J. van der Laak and G. Litjens, "Automated segmentation of epithelial tissue in prostatectomy slides using deep learning", Medical Imaging, 2018;10581:105810S.
    Abstract DOI Cited by ~12
  68. Y. Hagos, A. Gubern-Mérida and J. Teuwen, "Improving Breast Cancer Detection using Symmetry Information with Deep Learning", Breast Image Analysis (BIA), 2018.
    Abstract DOI
  69. Z. Swiderska-Chadaj, H. Pinckaers, M. van Rijthoven, M. Balkenhol, M. Melnikova, O. Geessink, Q. Manson, G. Litjens, J. van der Laak and F. Ciompi, "Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images", Medical Imaging with Deep Learning, 2018.
    Abstract Url Cited by ~5
  70. A. Patel and R. Manniesing, "A convolutional neural network for intracranial hemorrhage detection in non-contrast CT", Medical Imaging, 2018;10575.
    Abstract DOI Cited by ~3
  71. G. Aresta, T. Araújo, C. Jacobs, B. van Ginneken, A. Cunha, I. Ramos and A. Campilho, "Towards an automatic lung cancer screening system in low dose computed tomography", MICCAI Workshop: Thoracic Image Analysis, 2018;11040.
    Abstract DOI Cited by ~7
  72. A. Rodriguez-Ruiz, J. Teuwen, K. Chung, N. Karssemeijer, M. Chevalier, A. Gubern-Merida and I. Sechopoulos, "Pectoral muscle segmentation in breast tomosynthesis with deep learning", Medical Imaging, 2018.
    Abstract DOI Cited by ~10
  73. J. Bokhorst, L. Rijstenberg, D. Goudkade, I. Nagtegaal, J. van der Laak and F. Ciompi, "Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning", Computational Pathology and Ophthalmic Medical Image Analysis, 2018.
    Abstract DOI Cited by ~2
  74. N. Lessmann, B. van Ginneken and I. Išgum, "Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images", Medical Imaging, 2018;10574.
    Abstract DOI Cited by ~21
  75. D. Geijs, M. Intezar, J. van der Laak and G. Litjens, "Automatic color unmixing of IHC stained whole slide images", Medical Imaging, 2018;10581.
    Abstract DOI Cited by ~3
  76. S. van de Leemput, A. Patel and R. Manniesing, "Full Volumetric Brain Tissue Segmentation in Non-contrast CT using Memory Efficient Convolutional LSTMs", Medical Imaging meets NeurIPS, 2018.
    Abstract Url Cited by ~1
  77. C. González-Gonzalo, B. Liefers, B. van Ginneken and C. Sánchez, "Improving weakly-supervised lesion localization with iterative saliency map refinement", Medical Imaging with Deep Learning, 2018.
    Abstract Url Cited by ~3
  78. T. de Moor, A. Rodriguez-Ruiz, R. Mann and J. Teuwen, "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", International Workshop on Breast Imaging, 2018.
    Abstract arXiv
  79. M. van Rijthoven, Z. Swiderska-Chadaj, K. Seeliger, J. van der Laak and F. Ciompi, "You Only Look on Lymphocytes Once", Medical Imaging with Deep Learning, 2018.
    Abstract Url Cited by ~2
  80. N. Lessmann, B. van Ginneken, P. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation", Medical Imaging with Deep Learning, 2018.
    Abstract Url
  81. D. Tellez, M. Balkenhol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi, "H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection", Medical Imaging, 2018;10581.
    Abstract DOI
  82. K. Standvoss, T. Crijns, L. Goerke, D. Janssen, S. Kern, T. van Niedek, J. van Vugt, N. Burgos, E. Gerritse, J. Mol, D. van de Vooren, M. Ghafoorian, T. van den Heuvel and R. Manniesing, "Cerebral Microbleed Detection in Traumatic Brain Injury Patients using 3D Convolutational Neural Networks", Medical Imaging, 2018;10575.
    Abstract DOI
  83. M. Meijs and R. Manniesing, "Artery and Vein Segmentation of the Cerebral Vasculature in 4D CT using a 3D Fully Convolutional Neural Network", Medical Imaging, 2018;10575:105751Q.
    Abstract DOI Cited by ~10
  84. D. Tellez, J. van der Laak and F. Ciompi, "Gigapixel Whole-Slide Image Classification Using Unsupervised Image Compression And Contrastive Training", Medical Imaging with Deep Learning, 2018.
    Abstract Url Cited by ~1
  85. B. Bejnordi, J. Lin, B. Glass, M. Mullooly, G. Gierach, M. Sherman, N. Karssemeijer, J. van der Laak and A. Beck, "Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images", IEEE International Symposium on Biomedical Imaging, 2017:929-932.
    Abstract DOI PMID arXiv Cited by ~38
  86. P. Bándi, R. van de Loo, M. Intezar, D. Geijs, F. Ciompi, B. van Ginneken, J. van der Laak and G. Litjens, "Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images", IEEE International Symposium on Biomedical Imaging, 2017:591-595.
    Abstract DOI arXiv Cited by ~14
  87. T. van den Heuvel, H. Petros, S. Santini, C. de Korte and B. van Ginneken, "Combining Automated Image Analysis with Obstetric Sweeps for Prenatal Ultrasound Imaging in Developing Countries", MICCAI} Workshop: Point-of-Care Ultrasound, 2017;10549:105-112.
    Abstract DOI Cited by ~1
  88. T. Kooi and N. Karssemeijer, "Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses", Medical Imaging, 2017;10133:101341J.
    Abstract DOI Cited by ~7
  89. T. Kooi, J. Mordang and N. Karssemeijer, "Conditional Random Field Modelling of Interactions Between Findings in Mammography", Medical Imaging, 2017;10133:101341E.
    Abstract DOI Cited by ~2
  90. M. Ghafoorian, A. Mehrtash, T. Kapur, N. Karssemeijer, E. Marchiori, M. Pesteie, C. Guttmann, F. de Leeuw, C. Tempany, B. van Ginneken, A. Fedorov, P. Abolmaesumi, B. Platel and W. Wells, "Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation", Medical Image Computing and Computer-Assisted Intervention, 2017;10435:516-524.
    Abstract DOI arXiv Cited by ~124
  91. F. Ciompi, O. Geessink, B. Bejnordi, G. de Souza, A. Baidoshvili, G. Litjens, B. van Ginneken, I. Nagtegaal and J. van der Laak, "The importance of stain normalization in colorectal tissue classification with convolutional networks", IEEE International Symposium on Biomedical Imaging, 2017:160-163.
    Abstract DOI arXiv Cited by ~75
  92. G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Organ detection in thorax abdomen CT using multi-label convolutional neural networks", Medical Imaging, 2017;10134.
    Abstract DOI Cited by ~10
  93. T. van den Heuvel, H. Petros, S. Santini, C. de Korte and B. van Ginneken, "A step towards measuring the fetal head circumference with the use of obstetric ultrasound in a low resource setting", Medical Imaging, 2017;10139:101390V.
    Abstract DOI Cited by ~4
  94. A. Mehrtash, A. Sedghi, M. Ghafoorian, M. Taghipour, C. Tempany, W. Wells, T. Kapur, P. Mousavi, P. Abolmaesumi and A. Fedorov, "Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks", Medical Imaging, 2017;10134:101342A-101342A-4.
    Abstract DOI
  95. B. Liefers, F. Venhuizen, T. Theelen, C. Hoyng, B. van Ginneken and C. Sánchez, "Fovea Detection in Optical Coherence Tomography using Convolutional Neural Networks", Medical Imaging, 2017;10133:1013302.
    Abstract DOI Cited by ~4
  96. A. Patel, S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Automatic Cerebrospinal Fluid Segmentation in Non-Contrast CT Images Using a 3D Convolutional Network", Medical Imaging, 2017;10134.
    Abstract DOI Cited by ~6
  97. A. Bria, C. Marrocco, J. Mordang, N. Karssemeijer, M. Molinara and F. Tortorella, "LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms", Breast Imaging, 2016;9699:27-34.
    Abstract DOI Cited by ~4
  98. A. Bria, C. Marrocco, N. Karssemeijer, M. Molinara and F. Tortorella, "Deep Cascade Classifiers to Detect Clusters of Microcalcifications", Breast Imaging, 2016;9699:415-422.
    Abstract DOI Cited by ~16
  99. K. Holland, I. Sechopoulos, G. den Heeten, R. Mann and N. Karssemeijer, "Performance of breast cancer screening depends on mammographic compression", Breast Imaging, 2016;9699:183-189.
    Abstract DOI Cited by ~14
  100. J. Mordang, T. Janssen, A. Bria, T. Kooi, A. Gubern-Mérida and N. Karssemeijer, "Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks", Breast Imaging, 2016;9699:35-42.
    Abstract DOI Cited by ~49
  101. E. García, A. Oliver, Y. Diez, O. Diaz, A. Gubern-Mérida, X. Lladó and J. Martí, "Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration", Breast Imaging, 2016;9699:493-500.
    Abstract DOI
  102. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "Quantification of mammographic masking risk with volumetric breast density maps: How to select women for supplemental screening", Medical Imaging, 2016.
    Abstract DOI Cited by ~4
  103. T. Kooi, A. Gubern-Mérida, J. Mordang, R. Mann, R. Pijnappel, K. Schuur, A. den Heeten and N. Karssemeijer, "A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography", Breast Imaging, 2016;9699:51-56.
    Abstract DOI Cited by ~18
  104. M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, F. de Leeuw, E. Marchiori, B. van Ginneken and B. Platel, "Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation", IEEE International Symposium on Biomedical Imaging, 2016:1414-1417.
    Abstract DOI Cited by ~47
  105. K. Vijverberg, M. Ghafoorian, I. van Uden, F. de Leeuw, B. Platel and T. Heskes, "A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation", Medical Imaging, 2016.
    Abstract DOI Cited by ~3
  106. A. Gubern-Mérida, T. Tan, J. van Zelst, R. Mann and N. Karssemeijer, "Automated linking of suspicious findings between automated 3D breast ultrasound volumes", Medical Imaging, 2016.
    Abstract DOI Cited by ~1
  107. M. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer, C. Igel and M. Lillholm, "Learning Density Independent Texture Features", Breast Imaging, 2016;9699:299-306.
    Abstract DOI
  108. N. Lessmann, I. Išgum, A. Setio, B. de Vos, F. Ciompi, P. de Jong, M. Oudkerk, W. Mali, M. Viergever and B. van Ginneken, "Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT", Medical Imaging, 2016;9785:978511-1 - 978511-6.
    Abstract DOI Cited by ~25
  109. T. Mertzanidou, J. Hipwell, S. Reis, B. Bejnordi, M. Hermsen, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer, R. Mann, P. Bult and D. Hawkes, "Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology", Breast Imaging, 2016;9699:367-374.
    Abstract DOI Cited by ~3
  110. G. Litjens, K. Safferling and N. Grabe, "Automated robust registration of grossly misregistered whole-slide images with varying stains", Medical Imaging, 2016;9791:979103.
    Abstract DOI
  111. M. Razavi, L. Wang, A. Gubern-Mérida, T. Ivanovska, H. Laue, N. Karssemeijer and H. Hahn, "Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal", Image Analysis and ProcessingAC/a,!aEUR?ICIAP 2015, 2015:528-536.
    Abstract Cited by ~11
  112. F. Venhuizen, B. van Ginneken, B. Bloemen, M. van Grinsven, R. Philipsen, C. Hoyng, T. Theelen and C. Sánchez, "Automated Age-Related Macular Degeneration Classification in OCT using Unsupervised Feature Learning", Medical Imaging, 2015;9414(94141I).
    Abstract DOI Cited by ~45
  113. E. Garcia, A. Oliver, Y. Diez, D. O., J. Georgii, A. Gubern-Mérida, J. Martí and R. Martí, "Comparing regional breast density using Full-Field Digital Mammograms and Magnetic Resonance Imaging: A preliminary study", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2015.
    Abstract
  114. S. van de Leemput, F. Dorssers and B. Ehteshami Bejnordi, "A novel spherical shell filter for reducing false positives in automatic detection of pulmonary nodules in thoracic CT scans", Medical Imaging, 2015;9414:94142P.
    Abstract DOI
  115. A. Gubern-Mérida, T. Tan, J. van Zelst, R. Mann, B. Platel and N. Karssemeijer, "Pectoral muscle surface segmentation in automated 3D breast ultrasound using cylindrical transform and atlas information", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2015.
    Abstract
  116. J. Mordang and N. Karssemeijer, "Vessel segmentation in screening mammograms", Medical Imaging, 2015;9414:94140J.
    Abstract DOI Cited by ~3
  117. B. Bejnordi, G. Litjens, M. Hermsen, N. Karssemeijer and J. van der Laak, "A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images", Medical Imaging, 2015;9420:94200H.
    Abstract DOI Download
  118. M. Ghafoorian, N. Karssemeijer, F. de Leeuw, T. Heskes, E. Marchiori and B. Platel, "Small White Matter Lesion Detection in Cerebral Small Vessel Disease", Medical Imaging, 2015;9414:941411.
    Abstract DOI Cited by ~12
  119. A. Mendrik, E. Vonken, T. Witkamp, M. Prokop, B. van Ginneken and M. Viergever, "Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans", Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2015;8682:79-87.
    Abstract DOI Cited by ~3
  120. J. Schwaab, A. Gubern-Mérida, L. Wang and M. Gunther, "Automatic assessment of nipple position in Automated 3D Breast Ultrasound images", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2015.
    Abstract
  121. F. Ciompi, C. Jacobs, E. Scholten, S. van Riel, M. Wille, M. Prokop and B. van Ginneken, "Automatic detection of spiculation of pulmonary nodules in Computed Tomography images", Medical Imaging, 2015;9414(941409).
    Abstract DOI Cited by ~6
  122. T. van den Heuvel, M. Ghafoorian, A. van der Eerden, B. Goraj, T. Andriessen, B. ter Romeny and B. Platel, "Computer Aided Detection of Brain Micro-Bleeds in Traumatic Brain Injury", Medical Imaging, 2015;9414:94142F.
    Abstract DOI Cited by ~5
  123. G. Litjens, B. Bejnordi, N. Timofeeva, G. Swadi, I. Kovacs, C. de Hulsbergen-van Kaa and J. van der Laak, "Automated detection of prostate cancer in digitized whole-slide images of H&E-stained biopsy specimens", Medical Imaging, 2015;9420:94200B.
    Abstract DOI
  124. L. Wang, J. Strehlow, J. Ruehaak, F. Weiler, Y. Diez, A. Gubern-Mérida, S. Diekmann, H. Laue and H. Hahn, "A fast alignment method for breast MRI follow-up studies using automated breast segmentation and current-prior registration", Medical Imaging, 2015;9413:941334-941334-8.
    Abstract DOI
  125. A. Setio, C. Jacobs, F. Ciompi, S. van Riel, M. Wille, A. Dirksen, E. van Rikxoort and B. van Ginneken, "Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model", Medical Imaging, 2015;9414(94141O).
    Abstract DOI Cited by ~2
  126. B. van Ginneken, A. Setio, C. Jacobs and F. Ciompi, "Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans", IEEE International Symposium on Biomedical Imaging, 2015:286-289.
    Abstract DOI Cited by ~227
  127. M. Meijs, O. Debats and H. Huisman, "The evaluation of multi-structure, multi-atlas pelvic anatomy features in a prostate MR Lymphography CAD system", Medical Imaging, 2015;9414:94140T.
    Abstract DOI Cited by ~2
  128. G. Litjens, H. Huisman, R. Elliott, N. Shih, M. Feldman, Fütterer, J. Bomers and A. Madabhushi, "Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation", Medical Imaging, 2014;9036:90361D.
    Abstract DOI Cited by ~3
  129. K. Holland, M. Kallenberg, R. Mann, C. van Gils and N. Karssemeijer, "Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms", Breast Imaging -12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 AC/a,!aEURoe July 2, 2014. Proceedings, 2014;8539.
    Abstract DOI Cited by ~7
  130. C. Jacobs, S. Opdam, E. van Rikxoort, O. Mets, J. Rooyackers, P. de Jong, M. Prokop and B. van Ginneken, "Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis", Medical Imaging, 2014;9035:90351I.
    Abstract DOI Cited by ~2
  131. G. Litjens, R. Elliott, N. Shih, M. Feldman, J. Barentsz, C. - van de Hulsbergen Kaa, I. Kovacs, H. Huisman and A. Madabhushi, "Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI", Medical Imaging, 2014;9035:903512.
    Abstract DOI Cited by ~18
  132. Q. Mahmood, A. Chodorowski, B. Ehteshami Bejnordi and M. Persson, "A fully automatic unsupervised segmentation framework for the brain tissues in MR images", Medical Imaging, 2014.
    Abstract DOI
  133. Y. Diez, A. Gubern-Mérida, L. Wang, S. Diekmann, J. Martí, B. Platel, J. Kramme and R. Martí, "Comparison of Methods for Current-to-Prior Registration of Breast DCE-MRI", IWDM '14: Proceedings of the 12th international workshop on Digital Mammography, 2014;8539:689-695.
    Abstract DOI Cited by ~10
  134. B. Ehteshami Bejnordi, N. Timofeeva, I. Otte-Höller, N. Karssemeijer and J. van der Laak, "Quantitative analysis of stain variability in histology slides and an algorithm for standardization", Medical Imaging, 2014.
    Abstract DOI Cited by ~20 Download
  135. S. Rabbani, P. Maduskar, R. Philipsen, L. Hogeweg and B. van Ginneken, "Effect of image variation on computer aided detection systems", Medical Imaging, 2014;9035:90352H-1-90352H-8.
    Abstract DOI Cited by ~1
  136. J. Mordang, J. Hauth, G. den Heeten and N. Karssemeijer, "Automated Labeling of Screening Mammograms with Arterial Calcifications", Breast Imaging, 2014;8539.
    Abstract DOI Cited by ~2
  137. J. Melendez, C. Sánchez, R. Philipsen, P. Maduskar and B. van Ginneken, "Multiple-instance learning for computer-aided detection of tuberculosis", Medical Imaging, 2014;9035:90351J.
    Abstract DOI Cited by ~11
  138. B. Ehteshami Bejnordi, R. Moshavegh, K. Sujathan, P. Malm, E. Bengtsson and A. Mehnert, "Novel chromatin texture features for the classification of pap smears", Medical Imaging, 2013.
    Abstract DOI
  139. L. Gallardo-Estrella, B. van Ginneken and E. van Rikxoort, "Normalization of CT scans reconstructed with different kernels to reduce variability in emphysema measurements", Medical Imaging, 2013;8670:86700E.
    Abstract DOI Cited by ~4
  140. S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, "Impact of Bone Suppression Imaging on the Detection of Lung Nodules in Chest Radiographs: Analysis of Multiple Reading Sessions", Medical Imaging, 2013:86730Y.
    Abstract DOI
  141. M. Peemen, A. Setio, B. Mesman and H. Corporaal, "Memory-centric accelerator design for Convolutional Neural Networks", Computer Design (ICCD), 2013 IEEE 31st International Conference on, 2013:13-19.
    Abstract DOI
  142. J. Charbonnier, E. Smit, M. Viergever, B. Velthuis and P. Vos, "Computer-aided diagnosis of acute ischemic stroke based on cerebral hypoperfusion using 4D CT angiography", Medical Imaging, 2013;8670.
    Abstract DOI
  143. F. Ciompi, S. Balocco, C. Caus, J. Mauri and P. Radeva, "Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images", Medical Image Computing and Computer-Assisted Intervention, 2013:345-352.
    Abstract Cited by ~6
  144. A. van der Avoird, N. Lin, B. van Ginneken and R. Manniesing, "A Hardware Implementation of a Levelset Algorithm for Carotid Lumen Segmentation in CTA", Medical Imaging, 2013.
    Abstract DOI
  145. J. Schwaab, Y. Diez, J. Martí, R. Martí, J. van Zelst, B. Platel, T. Tan, J. Gregori, S. Wirtz, J. Kramme and M. Günther, "Image Quality in automated breast ultrasound images: a preliminary study for the development of automated image quality assessment", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2013.
    Abstract Cited by ~3
  146. I. Fondon, M. van Grinsven, C. Sánchez and A. Saez, "Perceptually adapted method for optic disc detection on retinal fundus images", Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on, 2013:279-284.
    Abstract DOI Cited by ~10
  147. P. Maduskar, L. Hogeweg, R. Philipsen, S. Schalekamp and B. van Ginneken, "Improved texture analysis for automatic detection of Tuberculosis (TB) on Chest Radiographs with Bone Suppression images", Medical Imaging, 2013;8670(16):86700H.
    Abstract DOI Cited by ~20
  148. W. van de Ven, Y. Hu, J. Barentsz, N. Karssemeijer, D. Barratt and H. Huisman, "Surface-based prostate registration with biomechanical regularization", Medical Imaging, 2013;8671:86711R.
    Abstract DOI Cited by ~6
  149. H. Laue, M. Oei, L. Chen, I. Kompan, H. Hahn, M. Prokop and R. Manniesing, "Automated Artery and Vein Detection in Dynamic CT data with an Unsupervised Classification Algorithm of the Time Intensity Curves", Medical Imaging, 2013.
    Abstract DOI
  150. J. Mordang, M. Oei, R. van den Boom, E. Smit, M. Prokop, B. van Ginneken and R. Manniesing, "A Pattern Recognition Framework for Vessel Segmentation in 4D CT of the Brain", Medical Imaging, 2013:866919.
    Abstract DOI Cited by ~1
  151. P. Lo, E. van Rikxoort, J. Goldin and M. Brown, "Semi-automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces", The Fifth International Workshop on Pulmonary Image Analysis, 2013.
    Abstract
  152. M. Riad, B. Platel, F. de Leeuw and N. Karssemeijer, "Detection of white matter lesions in cerebral small vessel disease", Medical Imaging, 2013;8670.
    Abstract DOI Cited by ~4
  153. A. Setio, F. van der Sommen, S. Zinger, E. Schoon and P. de With, "Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy", Proc. VISAPP, 2013:238-243.
    Abstract
  154. P. Maduskar, L. Hogeweg, R. Philipsen and B. van Ginneken, "Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs", Medical Imaging, 2013;8670(118):867038.
    Abstract DOI Cited by ~7
  155. P. Lo, E. van Rikxoort, F. Abtin, S. Ahmad, A. Ordookhani, J. Goldin and M. Brown, "Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces", Medical Imaging, 2013;8869:86693R.
    Abstract DOI Cited by ~4
  156. T. Tan, B. Eiben, B. Platel, J. Zelst, L. Han, T. Mertzanidou, S. Johnsen, J. Hipwell, R. Mann, D. Hawkes and N. Karssemeijer, "Registration of automated 3D breast ultrasound views", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2013.
    Abstract
  157. M. van Grinsven, A. Chakravarty, J. Sivaswamy, T. Theelen, B. van Ginneken and C. Sánchez, "A bag of words approach for discriminating between retinal images containing exudates or drusen", IEEE International Symposium on Biomedical Imaging, 2013:1444-1447.
    Abstract DOI Cited by ~20
  158. M. van Grinsven, Y. Lechanteur, J. van de Ven, B. van Ginneken, T. Theelen and C. Sánchez, "Automatic Age-related macular degeneration detection and staging", Medical Imaging, 2013;8670:86700M.
    Abstract DOI Cited by ~4
  159. M. Ghafoorian, N. Taghizadeh and H. Beigy, "Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm", AAAI Spring Symposium: Lifelong Machine Learning, 2013.
    Abstract
  160. A. Gubern-Mérida, B. Platel, R. Martí and N. Karssemeijer, "Automated localization of malignant lesions in breast DCE-MRI", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2013.
    Abstract
  161. A. Srikantha, M. Harz, G. Newstead, L. Wang, B. Platel, K. Hegenscheid, R. Mann, H. Hahn and H. Peitgen, "Symmetry-based detection and diagnosis of DCIS in breast MRI", Medical Imaging, 2013:86701E-86701E-8.
    Abstract DOI Cited by ~6
  162. A. Gubern-Mérida, L. Wang, M. Kallenberg, R. Martí, H. Hahn and N. Karssemeijer, "Breast segmentation in MRI: quantitative evaluation of three methods", Medical Imaging, 2013:86693G-86693G-7.
    Abstract DOI Cited by ~11
  163. J. Ramos, T. Kockelkorn, B. van Ginneken, M. Viergever, J. Grutters, R. Ramos and A. Campilho, "Learning Interstitial Lung Diseases CT Patterns from Reports Keywords", The Fifth International Workshop on Pulmonary Image Analysis, 2013:21-32.
    Abstract Cited by ~1
  164. F. Ciompi, R. Hua, S. Balocco, M. Alberti, O. Pujol, C. Caus, J. Mauri and P. Radeva, "Learning to Detect Stent Struts in Intravascular Ultrasound", Pattern Recognition and Image Analysis, 2013:575-583.
    Abstract Url Cited by ~4
  165. B. van Ginneken, R. Philipsen, L. Hogeweg, P. Maduskar, J. Melendez, C. Sánchez, R. Maane, B. dei Alorse, U. d'Alessandro and I. Adetifa, "Automated Scoring of Chest Radiographs for Tuberculosis Prevalence Surveys: A Combined Approach", The Fifth International Workshop on Pulmonary Image Analysis, 2013:9-19.
    Abstract Cited by ~5
  166. R. Philipsen, P. Maduskar, L. Hogeweg and B. van Ginneken, "Normalization of Chest Radiographs", Medical Imaging, 2013;8670:86700G.
    Abstract DOI Cited by ~10
  167. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer, "Segmentation of the pectoral muscle in breast MRI using atlas-based approaches", Medical Image Computing and Computer-Assisted Intervention, 2012;15(Pt 2):371-378.
    Abstract DOI PMID Cited by ~40
  168. M. Koek, F. Goncalves, D. Poldermans, W. Niessen and R. Manniesing, "Semi-Automated Subcutaneous and Visceral Adipose Tissue Quantification in Computed Tomography", MICCAI Workshop on Computational and Clinical Applications in Abdominal Imaging, 2012;7029:215-222.
    Abstract DOI Cited by ~1
  169. J. Melendez, C. Sánchez, R. Hupse, B. van Ginneken and N. Karssemeijer, "Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:682-689.
    Abstract DOI Cited by ~1
  170. S. Muenzing, B. van Ginneken and J. Pluim, "On Combining Algorithms for Deformable Image Registration", Biomedical Image Registration, 2012:256-265.
    Abstract DOI Cited by ~9
  171. G. Litjens, N. Karssemeijer and H. Huisman, "A multi-atlas approach for prostate segmentation in MRI", MICCAI} {W}orkshop: {P}rostate {C}ancer {I}maging: The {PROMISE12} Prostate Segmentation Challenge, 2012.
    Abstract
  172. R. van den Boom, M. Oei, S. Lafebre, L. Oostveen, A. Meijer, S. Steens, M. Prokop, B. van Ginneken and R. Manniesing, "Brain Tissue Segmentation in 4D CT Images Using Voxel Classification", Medical Imaging, 2012;8314:83144B-83144B-6.
    Abstract DOI
  173. R. Moshavegh, B. Ehteshami Bejnordi, A. Mehnert, K. Sujathan, P. Malm and E. Bengtsson, "Automated segmentation of free-lying cell nuclei in Pap smears for malignancy-associated change analysis", Engineering in Medicine and Biology Society (EMBC), 2012.
    Abstract DOI
  174. E. van Rikxoort, P. de Jong, O. Mets and B. van Ginneken, "Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans", Medical Imaging, 2012;8315:83150P-83150P-6.
    Abstract DOI Cited by ~4
  175. G. Litjens, O. Debats, W. van de Ven, N. Karssemeijer and H. Huisman, "A pattern recognition approach to zonal segmentation of the prostate on MRI", Medical Image Computing and Computer-Assisted Intervention, 2012;7511:413-420.
    Abstract DOI Cited by ~58 Download
  176. T. Tan, B. Platel, R. Mus and N. Karssemeijer, "Detection of Breast Cancer in Automated 3D Breast Ultrasound", Medical Imaging, 2012;8315:831505-1-831505-8.
    Abstract DOI Cited by ~5
  177. A. Firouzian, R. Manniesing, C. Metz, S. Klein, B. Velthuis, G. Rinkel, A. van der Lugt and W. Niessen, "Intracranial aneurysm growth quantification on CTA", Medical Imaging, 2012;8314:831448-1-83148-9.
    Abstract DOI
  178. S. Muenzing, B. van Ginneken and J. Pluim, "DIRBoost: An algorithm for boosting deformable image registration", IEEE International Symposium on Biomedical Imaging, 2012:1339-1342.
    Abstract DOI Cited by ~6
  179. J. Ramos, T. Kockelkorn, B. van Ginneken, M. Viergever, R. Ramos and A. Campilho, "Supervised Content Based Image Retrieval Using Radiology Reports", Image Analysis and Recognition, 2012;7325:249-258.
    Abstract DOI Cited by ~3
  180. T. Kockelkorn, R. Ramos, J. Ramos, C. Sánchez, P. de Jong, C. Schaefer-Prokop, J. Grutters, B. van Ginneken and M. Viergever, "Interactive classification of lung tissue in CT scans by combining prior and interactively obtained training data: a simulation study", International Conference on Pattern Recognition, 2012:105-108.
    Abstract Cited by ~3
  181. J. Lesniak, G. van Schie, C. Tanner, B. Platel, H. Huisman, N. Karssemeijer and G. Szekely, "Multimodal Classification of Breast Masses in Mammography and MRI using Unimodal Feature Selection and Decision Fusion", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:88-95.
    Abstract DOI Cited by ~1
  182. C. Tromans, G. van Schie, N. Karssemeijer and M. Brady, "A Hypothesis-Test Framework for Quantitative Lesion Detection and Diagnosis", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:458-465.
    Abstract DOI Cited by ~3
  183. J. Bozek, M. Kallenberg, M. Grgic and N. Karssemeijer, "Comparison of Lesion Size Using Area and Volume in Full Field Digital Mammograms", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:96-103.
    Abstract DOI Cited by ~2
  184. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach", Medical Imaging, 2012;8315(1):83150G-83150G-6.
    Abstract DOI Cited by ~24
  185. C. Jacobs, C. Sánchez, S. Saur, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Ground Glass Nodules in Thoracic CT images using Shape, Intensity and Context Features", Medical Image Computing and Computer-Assisted Intervention, 2011;6893:207-214.
    Abstract DOI PMID Cited by ~40 Download
  186. B. Lassen, J. Kuhnigk, E. van Rikxoort and H. Peitgen, "Interactive lung lobe segmentation and correction in tomographic images", Medical Imaging, 2011;7963:79631S-1-79631S-6.
    Abstract DOI Cited by ~10
  187. J. Huo, E. van Rikxoort, K. Okada, H. Kim, W. Pope, J. Goldin and M. Brown, "Confidence-based ensemble for GBM brain tumor segmentation", Medical Imaging, 2011;7962:79622P-1-79622P-6.
    Abstract DOI Cited by ~6
  188. T. Tan, B. Platel, T. Twellmann, G. van Schie, R. Mus, A. Grivegnee, L. Tabar and N. Karssemeijer, "Computer aided interpretation of lesions in automated 3D breast ultrasound", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract
  189. P. Maduskar, P. Devarakota and S. Vikal, "Automatic detection of lung vessel bifurcation in thoracic CT Images", Medical Imaging, 2011;7963:796334.
    Abstract DOI
  190. G. Litjens, P. Vos, J. Barentsz, N. Karssemeijer and H. Huisman, "Automatic Computer Aided Detection of Abnormalities in Multi-Parametric Prostate MRI", Medical Imaging, 2011;7963(1).
    Abstract DOI Cited by ~42
  191. P. Lo, E. van Rikxoort, J. Goldin, F. Abtin, M. de Bruijne and M. Brown, "A bottom-up approach for labeling of human airway trees", The Fourth International Workshop on Pulmonary Image Analysis, 2011:23-34.
    Abstract Cited by ~7
  192. M. Samulski, P. Snoeren, B. Platel, B. van Ginneken, L. Hogeweg, C. Schaefer-Prokop and N. Karssemeijer, "Computer-Aided Detection as a Decision Assistant in Chest Radiography", Medical Imaging, 2011;7966(1):796614-1-796614-6.
    Abstract DOI Cited by ~7
  193. P. Maduskar, L. Hogeweg, H. Ayles, R. Dawson, P. de Jong, N. Karssemeijer and B. van Ginneken, "Cavity segmentation in chest radiographs", The Fourth International Workshop on Pulmonary Image Analysis, 2011.
    Abstract
  194. F. Ciompi, O. Pujol, C. Gatta, X. Carrillo, J. Mauri and P. Radeva, "A holistic approach for the detection of media-adventitia border in IVUS", Medical Image Computing and Computer-Assisted Intervention, 2011:411-419.
    Abstract Url Cited by ~11
  195. T. Tan, B. Platel, H. Huisman and N. Karssemeijer, "Chest wall segmentation in automated 3D breast ultrasound using a cylinder model", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract
  196. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer, "Multi-class probabilistic atlas-based segmentation method in breast MRI", Pattern Recognition and Image Analysis: proceedings of 5th Iberian Conference, 2011;5.
    Abstract Cited by ~16
  197. M. Kallenberg, M. Lokate, C. van Gils and N. Karssemeijer, "Automatic breast density segmentation based on pixel classification", Medical Imaging, 2011;7963(1):796307.
    Abstract DOI
  198. M. Alberti, C. Gatta, S. Balocco, F. Ciompi, O. Pujol, J. Silva, X. Carrillo and P. Radeva, "Automatic branching detection in IVUS sequences", Pattern Recognition and Image Analysis, 2011:126-133.
    Abstract Url Cited by ~4
  199. E. van Rikxoort and B. van Ginneken, "Automatic segmentation of the lungs and lobes from thoracic CT scans", The Fourth International Workshop on Pulmonary Image Analysis, 2011:261-268.
    Abstract Cited by ~26
  200. G. van Schie, C. Tanner and N. Karssemeijer, "Estimating corresponding locations in ipsilateral breast tomosynthesis views", Medical Imaging, 2011;7963:796306.
    Abstract DOI Cited by ~2
  201. E. van Rikxoort, J. Goldin, M. Galperin-Aizenberg and M. Brown, "Classification of pulmonary emphysema from chest CT scans using integral geometry descriptors", Medical Imaging, 2011;7963:79631O-1-79631O-6.
    Abstract DOI Cited by ~1
  202. J. Lesniak, R. Hupse, M. Kallenberg, M. Samulski, R. Blanc, N. Karssemeijer and G. Székely, "Computer Aided Detection of Breast Masses in Mammography using Support Vector Machine Classification", Medical Imaging, 2011;7963(1):79631K.
    Abstract DOI Cited by ~17
  203. C. Jacobs, K. Murphy, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Solid and Ground Glass Nodules in Thoracic CT images using two independent CAD systems", The Fourth International Workshop on Pulmonary Image Analysis, 2011:177-182.
    Abstract Cited by ~2
  204. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer, "Fully automatic fibroglandular tissue segmentation in breast MRI: atlas-based approach", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract Cited by ~17
  205. S. Balocco, C. Gatta, F. Ciompi, O. Pujol, X. Carrillo, J. Mauri and P. Radeva, "Combining Growcut and temporal correlation for IVUS lumen segmentation", Pattern Recognition and Image Analysis, 2011:556-563.
    Abstract Url Cited by ~25
  206. C. Tanner, G. van Schie, N. Karssemeijer and G. Szekely, "Matching Regions for Mammographic Views: Comparison and Compensation for Deformations", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract Cited by ~1
  207. M. Niemeijer, A. Dumitrescu, B. van Ginneken and M. Abràmoff, "Automatic localization of bifurcations and vessel crossings in digital fundus photographs using location regression", Medical Imaging, 2011;7965:796507.
    Abstract DOI Cited by ~1
  208. M. Radstake, M. Velikova, P. Lucas and M. Samulski, "Critiquing Knowledge Representation in Medical Image Interpretation using Structure Learning", Knowledge Representation for Health-Care (KR4HC), 2011;6512:56-70.
    Abstract
  209. W. van de Ven, G. Litjens, J. Barentsz, T. Hambrock and H. Huisman, "Required accuracy of MR-US registration for prostate biopsies", P}rostate {C}ancer {I}maging. {I}mage {A}nalysis and {I}mage-{G}uided {I}nterventions, 2011;6963:92-99.
    Abstract DOI Cited by ~8
  210. L. Gallardo-Estrella and A. Poncela, "Human/Robot Interface for Voice Teleoperation of a Robotic Platform", Lecture Notes in Computer Science, 2011;6691:240-247.
    Abstract DOI
  211. T. Tan, H. Huisman, B. Platel, A. Grivignee, R. Mus and N. Karssemeijer, "Classification of Breast Lesions in Automated 3D Breast Ultrasound", Medical Imaging, 2011;7963:79630X.
    Abstract DOI Cited by ~7
  212. D. Chong, E. van Rikxoort, H. Kim, J. Goldin and M. Brown, "Scan-rescan reproducibility of CT densitometric measures of emphysema", Medical Imaging, 2011;7963:796339-1-796339-6.
    Abstract DOI
  213. P. Devarakota, D. Siddu, P. Maduskar, S. Vikal and L. Raghupathi, "Automatic lung nodule detection in thick slice CT: a comparative study of different gating schemes in CAD", Medical Imaging, 2011;7963:79630E.
    Abstract DOI
  214. B. Platel, H. Huisman, H. Laue, R. Mus, R. Mann, H. Hahn and N. Karssemeijer, "Computerized Characterization of Breast Lesions using Dual-Temporal Resolution Dynamic Contrast-Enhanced MR Images", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract
  215. S. Robben, M. Velikova, P. Lucas and M. Samulski, "Discretisation Does Affect the Performance of Bayesian Networks", Research and Development in Intelligent Systems XXVII, 2011:237-250.
    Abstract DOI
  216. D. Vukadinovic, T. van Walsum, R. Manniesing, S. Rozie, A. van der Lugt and W. Niessen, "Region Based Level Set Segmentation of the Outer Wall of the Carotid Bifurcation in CTA", Medical Imaging, 2011;7962:79623P-1 - 79623P-8.
    Abstract DOI Cited by ~4
  217. L. Hogeweg, C. Mol, P. de Jong, R. Dawson, H. Ayles and B. van Ginneken, "Fusion of local and global detection systems to detect tuberculosis in chest radiographs", Medical Image Computing and Computer-Assisted Intervention, 2010;6363:650-657.
    Abstract DOI PMID Cited by ~71
  218. C. Sánchez, M. Niemeijer, M. Abràmoff and B. van Ginneken, "Active learning for an efficient training strategy of computer-aided diagnosis systems: application to diabetic retinopathy screening", Medical Image Computing and Computer-Assisted Intervention, 2010;6363:603-610.
    Abstract DOI PMID Cited by ~15
  219. G. Litjens, L. Hogeweg, A. Schilham, P. de Jong, M. Viergever and B. van Ginneken, "Simulation of nodules and diffuse infiltrates in chest radiographs using CT templates", Medical Image Computing and Computer-Assisted Intervention, 2010;6362:396-403.
    Abstract DOI PMID Cited by ~3
  220. E. Brunenberg, R. Duits, B. ter Romeny and B. Platel, "A Sobolev norm based distance measure for HARDI clustering: a feasibility study on phantom and real data", Medical Image Computing and Computer-Assisted Intervention, 2010;13(Pt 1):175-182.
    Abstract PMID
  221. M. Velikova, P. Lucas and N. Karssemeijer, "Using local context information to improve automatic mammographic mass detection", Studies in Health Technology and Informatics, 2010;160:1291-1295.
    Abstract DOI PMID Cited by ~1
  222. A. Le, Y. Park, K. Ma, C. Jacobs and B. Liu, "Performance evaluation for volumetric segmentation of multiple sclerosis lesions using MATLAB and computing engine in the graphical processing unit (GPU)", Medical Imaging, 2010;7628(1):76280W-76280W-6.
    Abstract DOI
  223. C. Sánchez, M. Niemeijer, M. Suttorp-Schulten, M. Abràmoff and B. van Ginneken, "Improving hard exudate detection in retinal images through a combination of local and contextual information", IEEE International Symposium on Biomedical Imaging, 2010:5-8.
    Abstract DOI Cited by ~33
  224. B. van Ginneken, "Computer-aided diagnosis in chest imaging: how to improve performance and avoid reinventing the wheel", IEEE International Symposium on Biomedical Imaging, 2010:274.
    Abstract DOI Cited by ~2
  225. J. Seabra, J. Sanches, F. Ciompi and P. Radeva, "Ultrasonographic plaque characterization using a rayleigh mixture model", IEEE International Symposium on Biomedical Imaging, 2010:1-4.
    Abstract Url Cited by ~11
  226. T. Kockelkorn, E. van Rikxoort, J. Grutters and B. van Ginneken, "Interactive lung segmentation in CT scans with severe abnormalities", IEEE International Symposium on Biomedical Imaging, 2010:564-567.
    Abstract DOI Cited by ~22
  227. S. Muenzing, B. van Ginneken and J. Pluim, "Knowledge Driven Regularization of the Deformation Field for PDE Based Non-Rigid Registration Algorithms", Medical Image Analysis for the Clinic - A Grand Challenge, 2010:127-136.
    Abstract Cited by ~13
  228. C. Jacobs, K. Ma, P. Moin and B. Liu, "An automatic quantification system for MS lesions with integrated DICOM structured reporting (DICOM-SR) for implementation within a clinical environment", Medical Imaging, 2010;7628(1):76280K-76280K-8.
    Abstract DOI
  229. G. van Schie, M. K. Leifland, E. Moa, M. Hemmendorff and N. Karssemeijer, "The Effect of Slab Size on Mass Detection Performance of a Screen-Film CAD System in Reconstructed Tomosynthesis Volumes", IWDM '10: Proceedings of the 10th international workshop on Digital Mammography, 2010:497-504.
    Abstract DOI Cited by ~2
  230. A. Mendrik, E. Vonken, J. Dankbaar, M. Prokop and B. van Ginneken, "Noise filtering in thin-slice 4D cerebral CT perfusion scans", Medical Imaging, 2010;7623:76230N1-76230N8.
    Abstract DOI Cited by ~5
  231. N. Karssemeijer, "Computer aided detection in breast imaging: more than perception aid", IEEE International Symposium on Biomedical Imaging, 2010:273.
    Abstract DOI Cited by ~3
  232. C. Gatta, S. Balocco, F. Ciompi, R. Hemetsberger, O. Leor and P. Radeva, "Real-time gating of IVUS sequences based on motion blur analysis: method and quantitative validation", Medical Image Computing and Computer-Assisted Intervention, 2010:59-67.
    Abstract DOI Cited by ~27
  233. A. Makarau, H. Huisman, R. Mus, M. Zijp and N. Karssemeijer, "Breast MRI intensity non-uniformity correction using mean-shift", Medical Imaging, 2010;7624:76242D.
    Abstract DOI Cited by ~6
  234. L. Hogeweg, C. Mol, P. de Jong and B. van Ginneken, "Rib suppression in chest radiographs to improve classification of textural abnormalities", Medical Imaging, 2010;7624:76240Y1-76240Y6.
    Abstract DOI Cited by ~12
  235. I. Išgum, M. Prokop, P. Jacobs, M. Gondrie, W. Mali, M. Viergever and B. van Ginneken, "Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans", Medical Imaging, 2010;7624:76240M1-76240M8.
    Abstract DOI Cited by ~3
  236. A. Firouzian, R. Manniesing, H. Flach, R. Risselada, F. van Kooten, M. Sturkenboom, A. van der Lugt and W. Niessen, "Intracranial Aneurysm Segmentation in 3D CT Angiography: Method and Quantitative Validation", Medical Imaging, 2010;7623:76233M-1-76233M-8.
    Abstract DOI Cited by ~1
  237. E. van Rikxoort, M. Galperin-Aizenberg, J. Goldin, T. Kockelkorn, B. van Ginneken and M. Brown, "Multi-classifier semi-supervised classification of tuberculosis patterns on chest CT scans", The Third International Workshop on Pulmonary Image Analysis, 2010:41-48.
    Abstract Cited by ~4
  238. K. Murphy, B. van Ginneken, J. Reinhardt, S. Kabus, K. Ding, X. Deng and J. Pluim, "Evaluation of Methods for Pulmonary Image Registration: The EMPIRE10 Study", Medical Image Analysis for the Clinic - A Grand Challenge, 2010:11-22.
    Abstract Cited by ~45
  239. H. Huisman, P. Vos, G. Litjens, T. Hambrock and J. Barentsz, "Computer aided detection of prostate cancer using t2w, DWI and DCE-MRI: methods and clinical applications", MICCAI} {W}orkshop: {P}rostate {C}ancer {I}maging: {C}omputer {A}ided {D}iagnosis, {P}rognosis, and {I}ntervention, 2010.
    Abstract
  240. E. van Dongen and B. van Ginneken, "Automatic segmentation of pulmonary vasculature in thoracic CT scans with local thresholding and airway wall removal", IEEE International Symposium on Biomedical Imaging, 2010:668-671.
    Abstract DOI Cited by ~25
  241. K. Ma, C. Jacobs, J. Fernandez, L. Amezcua and B. Liu, "The development of a disease oriented eFolder for multiple sclerosis decision support", Medical Imaging, 2010;7628(1):76280G-76280G-7.
    Abstract DOI
  242. P. Lo, B. van Ginneken and M. de Bruijne, "Vessel tree extraction using locally optimal paths", IEEE International Symposium on Biomedical Imaging, 2010:680-683.
    Abstract DOI Cited by ~25
  243. M. Niemeijer, B. van Ginneken and M. Abràmoff, "Automatic determination of the artery vein ratio in retinal images", Medical Imaging, 2010;7624:76240I1-76240I10.
    Abstract DOI Cited by ~23
  244. F. Ciompi, O. Pujol and P. Radeva, "A meta-learning approach to conditional random fields using error-correcting output codes", International Conference on Pattern Recognition, 2010:710-713.
    Abstract Url Cited by ~5
  245. T. Kockelkorn, P. de Jong, H. Gietema, J. Grutters, M. Prokop and B. van Ginneken, "Interactive annotation of textures in thoracic CT scans", Medical Imaging, 2010;7624:76240X1-76240X8.
    Abstract DOI Cited by ~11
  246. E. van Rikxoort, J. Goldin, B. van Ginneken, M. Galperin-Aizenberg, C. Ni and M. Brown, "Interactively learning a patient specific k-nearest neighbor classifier based on confidence weighted samples", IEEE International Symposium on Biomedical Imaging, 2010:556-559.
    Abstract DOI Cited by ~2
  247. M. Kallenberg and N. Karssemeijer, "Comparison of Tilt Correction Methods in Full Field Digital Mammograms", IWDM '10: Proceedings of the 10th international workshop on Digital Mammography, 2010:191-196.
    Abstract DOI Cited by ~4
  248. E. Smit, J. Dankbaar, A. Mendrik, B. van Ginneken, E. Vonken and M. Prokop, "Reconstruction of High Quality CT Angiography from Noisy Cerebral CT Perfusion Data", Annual Meeting of the Radiological Society of North America, 2010.
    Abstract
  249. P. Snoeren, G. Litjens, B. van Ginneken and N. Karssemeijer, "Training a Computer Aided Detection System with Simulated Lung Nodules in Chest Radiographs", The Third International Workshop on Pulmonary Image Analysis, 2010:139-149.
    Abstract Cited by ~9
  250. G. Litjens, M. Heisen, J. Buurman and B. ter Romeny, "Pharmacokinetic models in clinical practice: what model to use for DCE-MRI of the breast?", IEEE International Symposium on Biomedical Imaging, 2010:185-188.
    Abstract DOI Cited by ~11
  251. O. Debats, N. Karssemeijer, J. Barentsz and H. Huisman, "Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods", Medical Imaging, 2010;7624:76240Q.
    Abstract DOI Cited by ~2
  252. M. Nillesen, R. Lopata, H. Huisman, J. Thijssen, L. Kapusta and C. de Korte, "3D cardiac segmentation using temporal correlation of radio frequency ultrasound data", Medical Image Computing and Computer-Assisted Intervention, 2009;12:927-934.
    Abstract DOI PMID Cited by ~13
  253. P. Vos, T. Hambrock, J. Barentsz and H. Huisman, "Automated calibration for computerized analysis of prostate lesions using pharmacokinetic magnetic resonance images", Medical Image Computing and Computer-Assisted Intervention, 2009;12:836-843.
    Abstract PMID Cited by ~14
  254. R. Reinartz, B. Platel, T. Boselie, H. van Mameren, H. van Santbrink and B. ter Romeny, "Cervical vertebrae tracking in video-fluoroscopy using the normalized gradient field", Medical Image Computing and Computer-Assisted Intervention, 2009;12(Pt 1):524-531.
    Abstract DOI PMID Cited by ~17
  255. E. van Rikxoort, M. Prokop, B. de Hoop, M. Viergever, J. Pluim and B. van Ginneken, "Automatic segmentation of the pulmonary lobes from fissures, airways, and lung borders: evaluation of robustness against missing data", Medical Image Computing and Computer-Assisted Intervention, 2009(5761):263-271.
    Abstract DOI PMID Cited by ~26
  256. M. Niemeijer, B. van Ginneken and M. Abràmoff, "Automatic classification of retinal vessels into arteries and veins", Medical Imaging, 2009;7260:72601F1-72601F8.
    Abstract DOI Cited by ~74
  257. D. Vukadinovic, T. van Walsum, S. Rozie, T. de Weert, R. Manniesing, A. van der Lugt and W. Niessen, "Carotid artery segmentation and plaque quantification in CTA", Proc. IEEE Int. Symp. Biomedical Imaging: From Nano to Macro ISBI '09, 2009:835-838.
    Abstract DOI Cited by ~11
  258. A. Mendrik, E. Vonken, A. Waaijer, E. Smit, M. Prokop and B. van Ginneken, "Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms", Medical Imaging, 2009;7259:72590Z1-72590Z7.
    Abstract DOI Cited by ~1
  259. M. Niemeijer, M. Garvin, K. Lee, B. van Ginneken, M. Abràmoff and M. Sonka, "Registration of 3D spectral OCT volumes using 3D SIFT feature point matching", Medical Imaging, 2009;7259:72591I-1-72591I-8.
    Abstract DOI Cited by ~58
  260. M. Samulski, A. Hupse, C. Boetes, G. den Heeten and N. Karssemeijer, "Analysis of probed regions in an interactive CAD system for the detection of masses in mammograms", Medical Imaging, 2009;7263(1):726314.
    Abstract DOI Cited by ~4
  261. S. Muenzing, K. Murphy, B. van Ginneken and J. Pluim, "Automatic detection of registration errors for quality assessment in medical image registration", Medical Imaging, 2009;7259:72590K1-72590K9.
    Abstract DOI Cited by ~10
  262. M. Velikova, M. Samulski, P. Lucas and N. Karssemeijer, "Causal Probabilistic Modelling for Two-View Mammographic Analysis", AIME '09: Proceedings of the 12th Conference on Artificial Intelligence in Medicine, 2009:395-404.
    Abstract DOI Cited by ~2
  263. C. Sánchez, M. Niemeijer, T. Kockelkorn, M. Abràmoff and B. van Ginneken, "Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images", Medical Imaging, 2009;7260:72601I1-72601I8.
    Abstract DOI Cited by ~10
  264. C. Gatta, J. Valencia, F. Ciompi, O. Leor and P. Radeva, "Toward robust myocardial blush grade estimation in contrast angiography", Pattern Recognition and Image Analysis, 2009:249-256.
    Abstract Url Cited by ~2
  265. X. Artaechevarria, A. Muñoz-Barrutia, B. van Ginneken and C. Ortiz-de-Solórzano, "Fast murine airway segmentation and reconstruction in micro-CT images", Medical Imaging, 2009;7262(1):72620B1-72620B8.
    Abstract DOI Cited by ~3
  266. M. Niemeijer, B. van Ginneken and M. Abràmoff, "A Linking Framework for Pixel Classification Based Retinal Vessel Segmentation", Medical Imaging, 2009;7262:726216-1-726216-8.
    Abstract DOI Cited by ~14
  267. E. van Rikxoort, W. Baggerman and B. van Ginneken, "Automatic segmentation of the airway tree from thoracic CT scans using a multi-threshold approach", The Second International Workshop on Pulmonary Image Analysis, 2009:341-349.
    Abstract Cited by ~27
  268. F. Ciompi, O. Pujol, E. Fernandez-Nofrerias, J. Mauri and P. Radeva, "Ecoc random fields for lumen segmentation in radial artery ivus sequences", Medical Image Computing and Computer-Assisted Intervention, 2009:869-876.
    Abstract Url Cited by ~24
  269. P. Maduskar and M. Acharyya, "Automatic identification of intracranial hemorrhage in non-contrast CT with large slice thickness for trauma cases", Medical Imaging, 2009;7260:726011.1-726011.8.
    Abstract DOI
  270. P. Lo, B. van Ginneken, J. Reinhardt and M. de Bruijne, "Extraction of Airways from CT (EXACT09)", The Second International Workshop On Pulmonary Image Analysis, 2009:175-189.
    Abstract
  271. F. Ciompi, O. Pujol, O. Leor, C. Gatta, A. Vida and P. Radeva, "Enhancing in-vitro IVUS data for tissue characterization", Pattern Recognition and Image Analysis, 2009:241-248.
    Abstract Url Cited by ~6
  272. R. Hupse and N. Karssemeijer, "The use of contextual information for computer aided detection of masses in mammograms", Medical Imaging, 2009;7260:72600Q.
    Abstract DOI Cited by ~8
  273. S. Kabus, T. Klinder, K. Murphy, B. van Ginneken, C. Lorenz and J. Pluim, "Evaluation of 4D-CT Lung Registration", Medical Image Computing and Computer-Assisted Intervention, 2009;5761:747-754.
    Abstract DOI Cited by ~82
  274. C. Sánchez, R. Hornero, A. Mayo and M. Garcia, "Mixture model-based clustering and logistic regression for automatic detection of microaneurysms in retinal images", Medical Imaging, 2009;7260:72601M1-72601M8.
    Abstract DOI Cited by ~61
  275. M. Kallenberg and N. Karssemeijer, "Using Volumetric Density Estimation in Computer Aided Mass Detection in Mammography", Proceedings of SPIE – Volume 7263, Medical Imaging 2009: Computer-Aided Diagnosis, 2009;7263(1):72600T.
    Abstract DOI Cited by ~2
  276. G. van Schie and N. Karssemeijer, "Noise model for microcalcification detection in reconstructed tomosynthesis slices", Medical Imaging, 2009;7260:72600M.
    Abstract DOI Cited by ~13
  277. Y. Arzhaeva, L. Hogeweg, P. de Jong, M. Viergever and B. van Ginneken, "Global and Local Multi-valued Dissimilarity-Based Classification: Application to Computer-Aided Detection of Tuberculosis", Medical Image Computing and Computer-Assisted Intervention, 2009(5762):724-731.
    Abstract DOI Cited by ~24
  278. M. García, C. Sánchez, M. López, A. Díez and R. Hornero, "Automatic detection of red lesions in retinal images using a multilayer perceptron neural network", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008;2008:5425-5428.
    Abstract DOI PMID Cited by ~48
  279. M. Niemeijer, M. Abràmoff and B. van Ginneken, "Automated localization of the optic disc and the fovea", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008:3538-3541.
    Abstract DOI PMID Cited by ~32
  280. K. Murphy, B. van Ginneken, S. Klein, M. Staring and J. Pluim, "Semi-Automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration", Medical Image Computing and Computer-Assisted Intervention, 2008;5242.
    Abstract DOI PMID Cited by ~86
  281. B. van Ginneken, W. Baggerman and E. van Rikxoort, "Robust segmentation and anatomical labeling of the airway tree from thoracic CT scans", Medical Image Computing and Computer-Assisted Intervention, 2008;5241:219-226.
    Abstract DOI PMID Cited by ~95
  282. R. Hupse and N. Karssemeijer, "Feature selection for computer-aided detection: comparing different selection criteria", Medical Imaging, 2008;6915:691503.
    Abstract DOI Cited by ~4
  283. K. Murphy, B. van Ginneken, J. Pluim, S. Klein and M. Staring, "Quantitative Assessment of Registration in Thoracic CT", The First International Workshop on Pulmonary Image Analysis, 2008:203-211.
    Abstract Cited by ~3
  284. P. Vos, T. Hambrock, J. Barentsz and H. Huisman, "Combining T2-weighted with dynamic MR images for computerized classification of prostate lesions", Medical Imaging: Computer-Aided Diagnosis, 2008;6915.
    Abstract Cited by ~12
  285. D. Vukadinovic, T. van Walsum, R. Manniesing, A. van der Lugt, T. de Weert and W. Niessen, "AdaBoost Classification for Model Based Segmentation of the Outer Vessel Wall", Medical Imaging, 2008;6914:691418-1 - 691418-8.
    Abstract DOI
  286. R. Brecheisen, A. Vilanova Bartroli, B. Platel and B. ter Haar Romeny, "Flexible GPU-Based Multi-Volume Ray-Casting", Vision Modeling and Visualization, 2008:303-312.
    Abstract Cited by ~33
  287. E. van Rikxoort, M. de Bruijne and B. van Ginneken, "Integrating local voxel classification and global shape models for medical image segmentation", Medical Imaging, 2008:69144J-1 - 69144J-6.
    Abstract DOI Cited by ~1
  288. N. Karssemeijer, A. Hupse, M. Samulski, M. Kallenberg, C. Boetes and G. Heeten, "An Interactive Computer Aided Decision Support System for Detection of Masses in Mammograms", IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008:273-278.
    Abstract DOI Cited by ~6
  289. N. Karssemeijer, M. Samulski, M. Kallenberg, A. Hupse, C. Boetes and G. den Heeten, "Effectiveness of an Interactive CAD System for Mammographic Mass Detection", 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008.
    Abstract Url
  290. M. Velikova, H. Daniels and M. Samulski, "Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms", ICANN '08: Proceedings of the 18th international conference on Artificial Neural Networks, Part I, 2008:917-926.
    Abstract DOI
  291. M. Niemeijer, M. Garvin, B. van Ginneken, M. Sonka and M. Abràmoff, "Vessel segmentation in 3D spectral OCT scans of the retina", Medical Imaging, 2008;6914.
    Abstract DOI Cited by ~88
  292. M. Samulski and N. Karssemeijer, "Linking mass regions in mediolateral oblique and cranio caudal views", Proceedings of the 14th ASCI conference, 2008:214-221.
    Abstract
  293. N. Karssemeijer, M. Samulski, G. den Heeten and C. Boetes, "Analysis of Observer Performance Based on Probing Patterns in an Interactive CAD System for Mammographic Mass Detection", 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008.
    Abstract Url
  294. M. Velikova, M. Samulski, N. Karssemeijer and P. Lucas, "Toward Expert Knowledge Representation for Automatic Breast Cancer Detection", AIMSA '08: Proceedings of the 13th international conference on Artificial Intelligence, 2008:333-344.
    Abstract DOI Cited by ~4
  295. M. Samulski and N. Karssemeijer, "Matching mammographic regions in mediolateral oblique and cranio caudal views: a probabilistic approach", Medical Imaging, 2008;6915(1):69151M.
    Abstract DOI Cited by ~20
  296. M. Kallenberg and N. Karssemeijer, "The Effect of Training Sample Size on Performance of Mass Detection", IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008:343-349.
    Abstract DOI Cited by ~4
  297. E. van Rikxoort, I. Išgum, M. Staring, S. Klein and B. van Ginneken, "Adaptive Local Multi-Atlas Segmentation: Application to Heart Segmentation in Chest CT Scans", Medical Imaging, 2008:691407-1-691407-6.
    Abstract DOI Cited by ~24
  298. M. Velikova, P. Lucas, N. Ferreira, M. Samulski and N. Karssemeijer, "A decision support system for breast cancer detection in screening programs", Proceeding of the 2008 conference on ECAI 2008, 2008:658-662.
    Abstract Cited by ~15
  299. B. van Ginneken, A. Tan, K. Murphy, B. de Hoop and M. Prokop, "Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans", Medical Imaging, 2008;6915:69150X1-69150X10.
    Abstract DOI
  300. M. Kallenberg and N. Karssemeijer, "The Effect of Training with SFM Images in a FFDM CAD System", Proceedings of SPIE – Volume 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 2008;6915(1):691510.
    Abstract DOI Cited by ~1
  301. M. Samulski, N. Karssemeijer, C. Boetes and G. den Heeten, "An Interactive Computer-aided Detection Workstation for Reading Mammograms", 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008.
    Abstract Url
  302. G. van Schie and N. Karssemeijer, "Detection of Microcalcifications Using a Nonuniform Noise Model", IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008:378-384.
    Abstract DOI Cited by ~10
  303. E. Brunenberg, A. Vilanova, V. Visser-Vandewalle, Y. Temel, L. Ackermans, B. Platel and B. ter Romeny, "Automatic trajectory planning for deep brain stimulation: a feasibility study", Medical Image Computing and Computer-Assisted Intervention, 2007;10(Pt 1):584-592.
    Abstract PMID Cited by ~61
  304. M. Schaap, R. Manniesing, I. Smal, T. van Walsum, A. van der Lugt and W. Niessen, "Bayesian tracking of tubular structures and its application to carotid arteries in CTA", Medical Image Computing and Computer-Assisted Intervention, 2007;10(Pt 2):562-570.
    Abstract DOI PMID Cited by ~58
  305. M. García, R. Hornero, C. Sánchez, M. López and A. Díez, "Feature extraction and selection for the automatic detection of hard exudates in retinal images", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007:4969-4972.
    Abstract DOI PMID Cited by ~59
  306. H. Huisman and N. Karssemeijer, "Chestwall segmentation in 3D breast ultrasound using a deformable volume model", Information Processing in Medical Imaging, 2007:245-256.
    Abstract DOI PMID Cited by ~6 Download
  307. P. Vos, T. Hambrock, J. Fütterer, C. De Hulsbergen-van Kaa, J. Barentsz and H. Huisman, "Effect of calibration on computerized analysis of prostate lesions using quantitative dynamic contrast-enhanced magnetic resonance imaging", Medical Imaging: Computer-Aided Diagnosis, 2007;6514.
    Abstract Cited by ~7
  308. M. Samulski, N. Karssemeijer, P. Lucas and P. Groot, "Classification of mammographic masses using support vector machines and Bayesian networks", Medical Imaging, 2007;6514(1):65141J.
    Abstract DOI Cited by ~13
  309. M. Velikova, N. de Ferreira and P. Lucas, "Bayesian Network Decomposition for Modeling Breast Cancer Detection", Proceedings of the 11th Conference on Artificial Intelligence in Medicine, 2007;4594.
    Abstract DOI
  310. Y. Arzhaeva, E. van Rikxoort and B. van Ginneken, "Automated segmentation of caudate nucleus in MR brain images with voxel classification", 3D Segmentation in the Clinic: A Grand Challenge, 2007:65-72.
    Abstract Cited by ~5
  311. E. van Rikxoort, Y. Arzhaeva and B. van Ginneken, "A multi-atlas approach to automatic segmentation of the caudate nucleus in MR brain images", 3D Segmentation in the Clinic: A Grand Challenge, 2007:29-36.
    Abstract Cited by ~12
  312. K. Murphy, A. Schilham, H. Gietema, M. Prokop and B. van Ginneken, "Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features", Medical Imaging, 2007;6514:651410-1-651410-12.
    Abstract DOI Cited by ~22
  313. R. Manniesing and W. Niessen, "Automatic Segmentation of the Internal Carotid Arteries through the Skull Base", Medical Imaging, 2007;6512:65120I-1 -65120I-5.
    Abstract DOI Cited by ~2
  314. B. van Ginneken, T. Heimann and M. Styner, "3D Segmentation in the Clinic: A Grand Challenge", 3D Segmentation in the Clinic: A Grand Challenge, 2007:7-15.
    Abstract
  315. C. Sánchez, A. Mayo, M. García, M. López and R. Hornero, "Automatic image processing algorithm to detect hard exudates based on mixture models", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006;1:4453-4456.
    Abstract DOI PMID Cited by ~33
  316. B. van Ginneken, "Supervised probabilistic segmentation of pulmonary nodules in CT scans", Medical Image Computing and Computer-Assisted Intervention, 2006;4191:912-919.
    Abstract DOI PMID Cited by ~42
  317. J. Poza, G. Vecilla, R. Hornero, M. López, C. Sánchez and A. Díez, "TeleOftalWeb 3.0: Web-based ophthalmologic medical record", Telemedicine in Future Health, 2006.
    Abstract
  318. C. Sánchez, M. López, M. García, A. Mayo and R. Hornero, "Automated retinal image analysis in a diabetic retinopathy telescreening program", Telemedicine in Future Health, 2006.
    Abstract
  319. A. Schilham and B. van Ginneken, "Simulating nodules in chest radiographs with real nodules from multi-slice CT images", Medical Imaging, 2006(6144):614456-1-614456-8.
    Abstract DOI Cited by ~2
  320. Y. Arzhaeva, D. Tax and B. van Ginneken, "Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers", Medical Imaging, 2006;6144:614458-1-614458-8.
    Abstract DOI Cited by ~12
  321. B. van Ginneken and A. Mendrik, "Image Denoising with k-nearest Neighbor and Support Vector Regression", International Conference on Pattern Recognition, 2006;3:603-606.
    Abstract DOI Cited by ~15
  322. M. Klik, E. van Rikxoort, J. Peters, H. Gietema, M. Prokop and B. van Ginneken, "Improved classification of pulmonary nodules by automated detection of benign subpleural lymph nodes", IEEE International Symposium on Biomedical Imaging, 2006:494-497.
    Abstract DOI Cited by ~11
  323. E. van Rikxoort and B. van Ginneken, "A pattern recognition approach to enhancing structures in 3D CT data", Medical Imaging, 2006(6144):61441O-1-61441O-8.
    Abstract DOI Cited by ~4
  324. Y. Arzhaeva, B. van Ginneken and D. Tax, "Image classification from generalized image distance features: application to detection of interstitial disease in chest radiographs", International Conference on Pattern Recognition, 2006.
    Abstract DOI Cited by ~4
  325. A. Mendrik, E. Vonken, A. Schilham, M. Viergever and B. van Ginneken, "Hybrid diffusion compared with existing diffusion schemes on simulated low dose CT scans", IEEE International Symposium on Biomedical Imaging, 2006:1008-1011.
    Abstract DOI Cited by ~4
  326. R. Manniesing and W. Niessen, "Shape Constrained Vessel Centerline Extraction by Integrating Surface Evolution and Topology Analysis", IEEE International Symposium on Biomedical Imaging, 2006:165-168.
    Abstract DOI Cited by ~4
  327. M. Loog and B. van Ginneken, "Bony Structure Suppression in Chest Radiographs", Computer Vision Approaches to Medical Image Analysis, 2006;4241:166-177.
    Abstract DOI Cited by ~12
  328. M. García, C. Sánchez, A. Díez, M. López and R. Hornero, "Detection of hard exudates based on neural networks as a diagnostic aid in the screening for diabetic retinopathy", Telemedicine in Future Health, 2006.
    Abstract Cited by ~5
  329. E. van den Broek, E. van Rikxoort, T. Kok and T. Schouten, "M-HinTS: Mimicking Humans in Texture Sorting", Human Vision and Electronic Imaging XI, 2006:332-343.
    Abstract DOI Cited by ~3
  330. N. Karssemeijer, P. Snoeren and W. Zhang, "Linearization of mammograms using parameters derived from noise characteristics", Information Processing in Medical Imaging, 2005;3565:258-269.
    Abstract DOI PMID Cited by ~3
  331. R. Manniesing and W. Niessen, "Multiscale vessel enhancing diffusion in CT angiography noise filtering", Information Processing in Medical Imaging, 2005;3565:138-149.
    Abstract DOI PMID Cited by ~46
  332. E. van Rikxoort, E. van den Broek and T. Schouten, "Mimicking human texture classification", Human Vision and Electronic Imaging X, 2005:215-226.
    Abstract DOI Cited by ~8
  333. D. Abásolo, C. Gómez, J. Poza, M. García, C. Sánchez and M. López, "EEG background activity analysis in Alzheimer's disease patients with sample entropy", International Conference on Computational Bioengineering, 2005:1067-1076.
    Abstract Cited by ~3
  334. E. van den Broek and E. van Rikxoort, "Parallel-Sequential Texture Analysis", Proceedings of the Third International Conference on Advances in Pattern Recognition, 2005:532-541.
    Abstract DOI Cited by ~9
  335. I. Išgum, B. van Ginneken, A. Rutten and M. Prokop, "Automated coronary calcification detection and scoring", 4th International Symposium on Image and Signal Processing and Analysis, 2005:127-132.
    Abstract Cited by ~6
  336. P. Snoeren and N. Karssemeijer, "Thickness correction of mammographic images by anisotropic filtering and interpolation of dense tissue", Medical Imaging, 2005;5747:1521-1527.
    Abstract DOI Cited by ~18
  337. M. Niemeijer, B. van Ginneken, F. ter Haar and M. Abràmoff, "Automatic Detection of the Optic Disc, Fovea and Vascular Arch in Digital Color Photographs of the Retina", Proceedings of the British Machine Vision Conference, 2005:109-118.
    Abstract Cited by ~26
  338. S. van Engeland and N. Karssemeijer, "Regrouping initial CAD mass detections to facilitate classification of suspicious regions in mammography", Medical Imaging, 2005;5747:975-986.
    Abstract DOI Cited by ~2
  339. S. van Engeland, C. Varela, S. Timp, P. Snoeren and N. Karssemeijer, "Using context for mass detection and classification in mammograms", Medical Imaging, 2005;5794:94-102.
    Abstract DOI Cited by ~5
  340. M. Niemeijer, M. Abràmoff and B. van Ginneken, "Automatic detection of the presence of bright lesions in color fundus photographs", The 3rd European Medical and Biological Engineering Conference, 2005:1832 (1-6).
    Abstract Cited by ~15
  341. E. van den Broek, E. van Rikxoort and T. Schouten, "Human-centered object-based image retrieval", Proceedings of the Third International Conference on Advances in Pattern Recognition, 2005:492-501.
    Abstract DOI Cited by ~19
  342. A. Schilham, M. Prokop, H. Gietema and B. van Ginneken, "Local noise reduction for emphysema scoring in low-dose CT images", Medical Imaging, 2005;5747:921-929.
    Abstract DOI
  343. C. Sánchez, R. Hornero, M. López and J. Poza, "Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004;3:1624-1627.
    Abstract DOI PMID Cited by ~116
  344. R. Hornero, C. Sánchez and M. López, "Automated retinal image analysis in a teleophthalmology diabetic retinopathy screening program", Telemedicine Journal and e-Health, 2004.
    Abstract Cited by ~1
  345. M. Loog, B. van Ginneken and R. Duin, "Dimensionality reduction by canonical contextual correlation projections", European Conference on Computer Vision, 2004;3021:562-573.
    Abstract DOI Cited by ~20
  346. M. Loog, B. van Ginneken and M. Nielsen, "Detection of interstitial lung disease in PA chest radiographs", Medical Imaging, 2004;5368:848-855.
    Abstract DOI Cited by ~10
  347. R. Manniesing, B. Velthuis, M. van Leeuwen and W. Niessen, "Skeletonization for re-initialization in level set-based vascular tree segmentation", Medical Imaging, 2004;5370:506-514.
    Abstract DOI Cited by ~6
  348. R. Manniesing and W. Niessen, "Local Speed Functions in Level Set Based Vessel Segmentation", Medical Image Computing and Computer-Assisted Intervention, 2004;3216:475-482.
    Abstract DOI Cited by ~41
  349. I. Išgum, B. van Ginneken and M. Prokop, "A pattern recognition approach to automated coronary calcium scoring", International Conference on Pattern Recognition, 2004.
    Abstract DOI Cited by ~10
  350. N. Karssemeijer, J. Otten, A. Roelofs, S. van Woudenberg and J. Hendriks, "Effect of independent multiple reading of mammograms on detection performance", Medical Imaging, 2004;5372:82-89.
    Abstract DOI Cited by ~11
  351. I. Sluimer, M. Niemeijer and B. van Ginneken, "Lung field segmentation from thin-slice CT scans in presence of severe pathology", Medical Imaging, 2004;5370:1447-1455.
    Abstract DOI Cited by ~32
  352. M. Loog and B. van Ginneken, "Static posterior probability fusion for signal detection: applications in the detection of interstitial diseases in chest radiographs", International Conference on Pattern Recognition, 2004:644-647.
    Abstract DOI Cited by ~36
  353. R. Hornero, D. Abásolo, J. Poza, C. Sánchez, P. Espino and R. de la Rosa, "Use of wavelets packets to compare electroencephalogram signal (EEG) in patiens with Alzheimer's disease and control subjects", International Workshop of Systems, Signals and Image Processing, 2004:35-38.
    Abstract
  354. B. van Ginneken and M. Loog, "Pixel Position Regression - Application to medical image segmentation", International Conference on Pattern Recognition, 2004:718-721.
    Abstract DOI Cited by ~11
  355. J. Staal, B. van Ginneken and M. Viergever, "Automatic rib segmentation in CT data", Computer Vision Approaches to Medical Image Analysis and Mathematical Methods in Biomedical Image Analysis, 2004;3117:193-204.
    Abstract Cited by ~16
  356. A. Roelofs, S. van Woudenberg, J. Hendriks, C. Evertsz and N. Karssemeijer, "Effects of computer-aided diagnosis on radiologists' detection of breast masses", Digital Mammography, 2004:219-224.
    Abstract
  357. E. van den Broek and E. van Rikxoort, "Evaluation of color representation for texture analysis", Proceedings of the 16th Belgian Dutch Artificial Intelligence Conference (BNAIC), 2004:35-42.
    Abstract Url Cited by ~51
  358. M. Niemeijer, J. Staal, B. van Ginneken, M. Loog and M. Abràmoff, "Comparative Study of Retinal Vessel Segmentation Methods on a New Publicly Available Database", Medical Imaging, 2004;5370:648-656.
    Abstract DOI Cited by ~849
  359. P. Snoeren and N. Karssemeijer, "Gray scale registration of mammograms using a model of image acquisition", Information Processing in Medical Imaging, 2003;18:401-412.
    Abstract DOI PMID Cited by ~6
  360. M. de Bruijne, B. van Ginneken, M. Viergever and W. Niessen, "Adapting Active Shape Models for 3D segmentation of tubular structures in medical images", Information Processing in Medical Imaging, 2003;2732:136-147.
    Abstract DOI PMID Cited by ~185
  361. A. Schilham, B. van Ginneken and M. Loog, "Multi-scale nodule detection in chest radiographs", Medical Image Computing and Computer-Assisted Intervention, 2003;2878:602-609.
    Abstract DOI Cited by ~36
  362. M. de Bruijne, B. van Ginneken, W. Niessen, M. Loog and M. Viergever, "Model-based segmentation of abdominal aortic aneurysms in CTA images", Medical Imaging, 2003;5032:1560-1571.
    Abstract DOI Cited by ~25
  363. M. Loog, B. van Ginneken and M. Viergever, "Segmenting the posterior ribs in chest radiographs by iterated contextual pixel classification", Medical Imaging, 2003;5032:609-618.
    Abstract DOI Cited by ~8
  364. M. Niemeijer, B. van Ginneken, C. Maas, F. Beek and M. Viergever, "Assessing the Skeletal Age From a Hand Radiograph: Automating the Tanner-Whitehouse Method", Medical Imaging, 2003;5032:1197-1205.
    Abstract DOI Cited by ~77
  365. M. López, C. Sánchez and R. Hornero, "Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy", Association for Research in Vision and Ophthalmology, 2003.
    Abstract Cited by ~4
  366. M. de Bruijne, B. van Ginneken, L. Bartels, M. van der Laan, J. Blankensteijn, W. Niessen and M. Viergever, "Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images", Medical Image Computing and Computer-Assisted Intervention, 2003;2879:538-545.
    Abstract DOI Cited by ~18
  367. T. Roelofs, S. van Woudenberg, J. Hendriks and N. Karssemeijer, "Optimized soft-copy display of digitized mammograms", Medical Imaging, 2003;5034:10-19.
    Abstract DOI Cited by ~5
  368. I. Išgum, B. van Ginneken and M. Viergever, "Automatic detection of calcifications in the aorta from abdominal CT scans", Computer Assisted Radiology and Surgery, 2003:1037-1042.
    Abstract DOI Cited by ~4
  369. C. Varela, J. Muller and N. Karssemeijer, "Mammographic mass characterization using sharpness and lobulation measures", Medical Imaging, 2003;5032:120-129.
    Abstract DOI Cited by ~2
  370. S. van Engeland, P. Snoeren, N. Karssemeijer and J. Hendriks, "Optimized perception of lesion growth in mammograms using digital display", Medical Imaging, 2003;5034:25-31.
    Abstract DOI Cited by ~8
  371. B. van Ginneken, M. de Bruijne, M. Loog and M. Viergever, "Interactive Shape Models", Medical Imaging, 2003;5032:1206-1216.
    Abstract DOI Cited by ~34
  372. M. Loog and B. van Ginneken, "Supervised segmentation by Iterated Contextual Pixel Classification", International Conference on Pattern Recognition, 2002:925-928.
    Abstract DOI Cited by ~31
  373. I. Sluimer and B. van Ginneken, "Detection of abnormal tissue in HRCT scans of the chest", Computer Assisted Radiology and Surgery, 2002:1101.
    Abstract DOI Cited by ~2
  374. S. Timp, N. Karssemeijer and J. Hendriks, "Analysis of changes in masses using contrast and size measures", IWDM '02: Proceedings of the 6th international workshop on Digital Mammography, 2002:240-242.
    Abstract DOI Cited by ~10
  375. J. Staal, S. Kalitzin, B. van Ginneken, M. Abràmoff, T. Berendschot and M. Viergever, "Classifying convex sets for vessel detection in retinal images", IEEE International Symposium on Biomedical Imaging, 2002:269-272.
    Abstract DOI Cited by ~12
  376. B. van Ginneken, B. ter Romeny and M. Viergever, "Automatic segmentation and texture analysis of PA chest radiographs to detect abnormalities related to interstitial disease and tuberculosis", Computer Assisted Radiology and Surgery, 2002:685-688.
    Abstract DOI Cited by ~3
  377. M. de Bruijne, B. van Ginneken, W. Niessen, J. Maintz and M. Viergever, "Active shape model based segmentation of abdominal aortic aneurysms in CTA images", Medical Imaging, 2002;4684:463-474.
    Abstract DOI Cited by ~61
  378. B. van Ginneken, "Towards a clinical chest workstation", Proceedings of VISIM, 2001.
    Abstract
  379. S. van Engeland and N. Karssemeijer, "Matching breast lesions in multiple mammographic views", Medical Image Computing and Computer-Assisted Intervention, 2001;2208/2010:1172-1173.
    Abstract DOI Cited by ~6
  380. B. van Ginneken, A. Frangi, J. Staal, B. ter Romeny and M. Viergever, "A non-linear gray-level appearance model improves active shape model segmentation", IEEE Workshop on Mathematical Models in Biomedical Image Analysis, 2001:205-212.
    Abstract DOI Cited by ~52
  381. R. Manniesing, I. Karkowski and H. Corporaal, "Automatic SIMD Parallelization of Embedded Applications Based on Pattern Recognition", Sixth International Euro-Par Conference on Parallel Processing, 2000:349-356.
    Abstract DOI Cited by ~23
  382. B. van Ginneken and B. ter Romeny, "Automatic delineation of ribs in frontal chest radiographs", Medical Imaging, 2000;3979:825-836.
    Abstract DOI Cited by ~43
  383. G. te Brake, M. Stoutjesdijk and N. Karssemeijer, "Discrete dynamic contour model for mass segmentation in digital mammograms", Medical Imaging, 1999;3661:911-919.
    Abstract DOI Cited by ~9
  384. B. van Ginneken and B. ter Romeny, "Applications of locally orderless images", Scale-Space Theories in Computer Vision, 1999;1682:10-21.
    Abstract DOI Cited by ~23
  385. R. Manniesing, I. Karkowski and H.Corporaal, "Evaluation of a Potential for Automatic SIMD Parallelization of Embedded Applications", Fifth Annual Conference of the Advanced School for Computing and Imaging, 1999:103-110.
    Abstract Cited by ~3
  386. W. Veldkamp and N. Karssemeijer, "Improved method for detection of microcalcification clusters in digital mammograms", Medical Imaging, 1999;3661:512-522.
    Abstract DOI Cited by ~30
  387. N. Karssemeijer, "Local orientation distribution as a function of spatial scale for detection of masses in mammograms", Information Processing in Medical Imaging, 1999;1613:280-293.
    Abstract DOI Cited by ~20
  388. B. van Ginneken and B. ter Romeny, "Automatic segmentation of lung fields in chest radiographs", Medical Image Computing and Computer-Assisted Intervention, 1999;1679:184-191.
    Abstract DOI Cited by ~8
  389. R. Manniesing, R. Kleihorst, R. van der Vleuten and E. Hendriks, "Implementation of Lossless Coding for Embedded Compression", IEEE} Program for Research on Integrated Systems and Circuits/Workshop on Circuits, Systems and Signal Processing, 1998.
    Abstract Cited by ~8
  390. K. Dana, B. van Ginneken, S. Nayar and J. Koenderink, "Reflectance and texture of real-world surfaces", Computer Vision and Pattern Recognition, 1997:151-157.
    Abstract DOI
  391. F. Leymarie, A. de la Fortelle, J. Koenderink, A. Kappers, M. Stavridi, B. van Ginneken, S. Muller, S. Krake, O. Faugeras, L. Robert, C. Gauclin, S. Laveau and C. Zeller, "REALISE: reconstruction of REALity from Image SEquences", International Conference on Image Processing, 1996:651-654.
    Abstract DOI Cited by ~19
  392. M. Stavridi, B. van Ginneken and J. Koenderink, "Surface BRDF and texture of bricks", Three-Dimensional and Unconventional Imaging for Industrial Inspection and Metrology, 1996;2599:406-417.
    Abstract DOI Cited by ~4
  393. N. Karssemeijer, "Recognition of clustered microcalcifications using a random field model", Medical Imaging, 1993;1905:776-786.
    Abstract DOI Cited by ~51
  394. N. Karssemeijer, "Common database for research in mammographic image analysis", Medical Imaging, 1993;1905:542-543.
    Abstract DOI Cited by ~9
  395. N. Karssemeijer and L. van Erning, "Iso-precision scaling of digitized mammograms to facilitate image analysis", Medical Imaging, 1991;1445:166-177.
    Abstract DOI Cited by ~28

Abstracts

  1. N. Antonissen, K. Venkadesh, H. Gietema, R. Vliegenthart, Z. Saghir, E. Scholten, M. Prokop, C. Schaefer-Prokop and C. Jacobs, "Retrospective validation of nodule management based on deep learning-based malignancy thresholds in lung cancer screening", European Congress of Radiology, 2023.
    Abstract
  2. B. Guevara, N. Marini, S. Marchesin, W. Aswolinskiy, R. Schlimbach, D. Podareanu and F. Ciompi, "Caption generation from histopathology whole-slide images using pre-trained transformers", Medical Imaging with Deep Learning, 2023.
    Abstract
  3. R. Lomans, R. van der Post and F. Ciompi, "Interactive Cell Detection in H&E-stained slides of Diffuse Gastric Cancer", Medical Imaging with Deep Learning, 2023.
    Abstract
  4. M. D'Amato, M. Balkenhol, M. van Rijthoven, J. van der Laak and F. Ciompi, "On the robustness of regressing tumor percentage as an explainable detector in histopathology whole-slide images", Medical Imaging with Deep Learning, 2023.
    Abstract
  5. J. Twilt, A. Saha, J. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, H. Huisman and M. de Rooij, "EAU Plenary Gamechanging Session - Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: Preliminary Results from the PI-CAI Challenge", Annual European Association of Urology Congress, 2023.
    Abstract
  6. Q. van Lohuizen, C. Roest, F. Simonis, S. Fransen, T. Kwee, D. Yakar and H. Huisman, "Diagnostic AI to speed up MRI protocols by identifying redundant sequences: are all diffusion-weighted prostate MRI sequences necessary?", Annual Meeting of the Radiological Society of North America, 2023.
    Abstract
  7. A. Saha, J. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge", European Congress of Radiology, 2023.
    Abstract
  8. K. van Leeuwen, D. Hedderich and S. Schalekamp, "Potential risk of off-label use of commercially available AI-based software for radiology", European Congress of Radiology, 2023.
    Abstract
  9. R. Lomans, J. van der Laak, I. Nagtegaal, F. Ciompi and R. van der Post, "Deep learning for multi-class cell detection in H&E-stained slides of diffuse gastric cancer", European Congress of Pathology, 2023.
    Abstract
  10. D. Peeters, N. Alves, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, H. Huisman, C. Schaefer-Prokop, R. Vliegenthart, M. Prokop and C. Jacobs, "The effect of applying an uncertainty estimation method on the performance of a deep learning model for nodule malignancy risk estimation", European Congress of Radiology, 2023.
    Abstract
  11. R. Leon-Ferre, J. Carter, D. Zahrieh, J. Sinnwell, R. Salgado, V. Suman, D. Hillman, J. Boughey, K. Kalari, F. Couch, J. Ingle, M. Balkenkohl, F. Ciompi, J. van der Laak and M. Goetz, "Abstract P2-11-34: Mitotic spindle hotspot counting using deep learning networks is highly associated with clinical outcomes in patients with early-stage triple-negative breast cancer who did not receive systemic therapy", Cancer Research, 2023;83:P2-11-34-P2-11-34.
    Abstract DOI
  12. J. Twilt, A. Saha, J. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, H. Huisman and M. de Rooij, "Diagnostic Value of Dynamic Contrast-Enhanced MRI for the Detection of Clinically Significant Prostate Cancer in a Multi-Reader Study: Preliminary Results from the PI-CAI Consortium", European Congress of Radiology, 2023.
    Abstract
  13. T. Perik, J. Hermans and H. Huisman, "AI-assisted analysis of CT perfusion to predict response in patients with pancreatic adenocarcinoma", European Congress of Radiology, 2022.
    Abstract
  14. S. de Jong, N. Alves, M. Schuurmans, J. Hermans and H. Huisman, "Deep Learning for Automatic Contrast Enhancement Phase Detection on Abdominal Computed Tomography", Annual Meeting of the Radiological Society of North America, 2022.
    Abstract
  15. K. van Leeuwen, M. Becks, S. Schalekamp, B. van Ginneken, M. Rutten, M. de Rooij and F. Meijer, "Real-world evaluation of artificial intelligence software for cerebral large vessel occlusion detection in CT angiography", European Congress of Radiology, 2022.
    Abstract
  16. K. Venkadesh, T. Aleef, A. Schreuder, E. Scholten, B. van Ginneken, M. Prokop and C. Jacobs, "Deep learning for estimating pulmonary nodule malignancy risk using prior CT examinations in lung cancer screening", European Congress of Radiology, 2022.
    Abstract
  17. N. Alves, J. Bosma and H. Huisman, "Towards Safe Clinical Use of Artificial Intelligence for Cancer Detection Through Uncertainty Quantification", Annual Meeting of the Radiological Society of North America, 2022.
    Abstract
  18. A. Saha, J. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge", Annual Meeting of the Radiological Society of North America, 2022.
    Abstract
  19. M. Grauw, B. Ginneken, B. Geisler, E. Smit, M. Rooij, S. Schalekamp and M. Prokop, "Deep learning universal lesion segmentation for automated RECIST measurements on CT: comparison to manual assessment by radiologists", European Congress of Radiology, 2022.
    Abstract
  20. L. van Eekelen, E. Munari, I. Girolami, A. Eccher, J. van der Laak, K. Grünberg, M. Looijen-Salamon, S. Vos and F. Ciompi, "Inter-rater agreement of pathologists on determining PD-L1 status in non-small cell lung cancer", European Congress of Pathology, 2022.
    Abstract
  21. K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "The rise of artificial intelligence solutions in radiology departments in the Netherlands", European Congress of Radiology, 2022.
    Abstract
  22. L. Deden, K. van Leeuwen, M. Becks, M. Bernsen, M. de Rooij, J. Martens and F. Meijer, "Gluren bij de buren - Evaluating and sharing real-world experience of an AI stroke tool in two centres", Radiologendagen, 2022.
    Abstract
  23. E. van Genugten, B. Piet, G. Schreibelt, T. van Oorschot, G. van den Heuvel, F. Ciompi, C. Jacobs, J. de Vries, M. van den Heuvel and E. Aarntzen, "Imaging tumor-infiltrating CD8 (+) T-cells in non-small cell lung cancer patients upon neo-adjuvant treatment with durvalumab", European Molecular Imaging Meeting, 2022.
    Abstract
  24. S. Fransen, C. Roest, Q. van Lohuizen, J. Bosma, T. Kwee, D. Yakar and H. Huisman, "Diagnostic AI to speed up MRI protocols by identifying redundant sequences: are all diffusion-weighted prostate MRI sequences necessary?", Annual Meeting of the Radiological Society of North America, 2022.
    Abstract
  25. J. Spronck, L. Eekelen, L. Tessier, J. Bogaerts, L. van der Woude, M. van den Heuvel, W. Theelen and F. Ciompi, "Deep learning-based quantification of immune infiltrate for predicting response to pembrolizumab from pre-treatment biopsies of metastatic non-small cell lung cancer: A study on the PEMBRO-RT phase II trial", Immuno-Oncology and Technology, 2022.
    Abstract
  26. C. Roest, T. Kwee, A. Saha, J. Futterer, D. Yakar and H. Huisman, "AI-Assisted Biparametric MRI Surveillance of Prostate Cancer: Feasibility Study", European Congress of Radiology, 2022.
    Abstract
  27. L. van Eekelen, E. Munari, L. Meesters, G. de Souza, M. Demirel-Andishmand, D. Zegers, M. Looijen-Salamon, S. Vos and F. Ciompi, "Nuclei detection with YOLOv5 in PD-L1 stained non-small cell lung cancer whole slide images", European Congress of Pathology, 2022.
    Abstract
  28. M. Grauw and B. Ginneken, "Semi-supervised 3D universal lesion segmentation in CT thorax-abdomen scans", European Congress of Radiology, 2022.
    Abstract
  29. M. Schuurmans, N. Alves, H. Huisman and J. Hermans, "Deep Learning for Detection of Iso-attenuating Pancreatic Adenocarcinoma in Computed Tomography", Annual Meeting of the Radiological Society of North America, 2022.
    Abstract
  30. L. Boulogne and B. van Ginneken, "Automatically Generated CT Severity Scores for COVID-19 Predict Death or Intubation at 1-Month Follow-Up", Annual Meeting of the Radiological Society of North America, 2022.
    Abstract
  31. J. van der Graaf, M. van Hooff, C. Buckens and N. Lessmann, "Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation", Medical Imaging 2022: Image Processing, 2022;12032:909-913.
    Abstract DOI
  32. I. van den Berk, C. Jacobs, M. Kanglie, O. Mets, M. Snoeren, A. van Montauban Swijndregt, E. Taal, T. van Engelen, J. Prins, S. Bipat, P. Bossuyt and J. Stoker, "Added value of artificial intelligence for the detection and analysis of lung nodules on ultra-low-dose CT in an emergency setting", Annual Meeting of the Radiological Society of North America, 2022.
    Abstract
  33. W. Hendrix, N. Hendrix, M. Prokop, E. Scholten, B. Van Ginneken, M. Rutten and C. Jacobs, "Trends in the Incidence of Pulmonary Nodules in Chest Computed Tomography: 10-Year Results from Two Dutch Hospitals", European Congress of Radiology, 2021.
    Abstract DOI
  34. A. Saha, J. Bosma, C. Roest, M. Hosseinzadeh, J. Futterer and H. Huisman, "Deep Learning with Bayesian Inference for Prostate Cancer Diagnosis across Longitudinal Biparametric MRI", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  35. C. González-Gonzalo, E. Thee, B. Liefers, C. de Vente, C. Klaver and C. Sánchez, "Hierarchical curriculum learning for robust automated detection of low-prevalence retinal disease features: application to reticular pseudodrusen", Association for Research in Vision and Ophthalmology, 2021.
    Abstract Url
  36. K. van Leeuwen, M. Rutten, S. Schalekamp, M. de Rooij and B. van Ginneken, "Clinical use of artificial intelligence in radiology departments in the Netherlands: a survey", European Congress of Radiology, 2021.
    Abstract
  37. K. van Leeuwen, M. de Rooij, M. Rutten, B. van Ginneken and S. Schalekamp, "Performance Of A Commercial Software Package For Lung Nodule Detection On Chest Radiographs Compared With 8 Expert Readers", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  38. K. van Leeuwen, M. de Rooij, M. Rutten, S. Schalekamp and B. van Ginneken, "Commercial Artificial Intelligence Solutions For Radiology: A Market Update", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  39. C. González-Gonzalo, F. Verbraak, R. Schlingemann, C. Klaver, A. Lee, A. Tufail and C. Sánchez, "Trustworthy AI: closing the gap between development and integration of AI in Ophthalmology", European Association for the Study of Diabetes Eye Complications Study Group, 2021.
    Abstract Url
  40. K. van Leeuwen, F. Meijer, S. Schalekamp, M. Rutten, E. van Dijk, B. van Ginneken, T. Govers and M. de Rooij, "Artificial Intelligence in Acute Stroke: an Early Health Technology Assessment of Vessel Occlusion Detection on Computed Tomography", European Congress of Radiology, 2021.
    Abstract
  41. N. Alves, J. Hermans and H. Huisman, "CT-based Deep Learning Towards Early Detection Of Pancreatic Ductal Adenocarcinoma", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  42. C. de Vente, C. González-Gonzalo, E. Thee, M. van Grinsven, C. Klaver and C. Sánchez, "Making AI Transferable Across OCT Scanners from Different Vendors", Association for Research in Vision and Ophthalmology, 2021.
    Abstract Url
  43. J. Bosma, A. Saha, M. Hosseinzadeh and H. Huisman, "Augmenting AI with Automated Segmentation of Report Findings Applied to Prostate Cancer Detection in Biparametric MRI", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  44. Y. Jiao, M. Rijthoven, J. Li, K. Grunberg, S. Fei and F. Ciompi, "Automatic Lung Cancer Segmentation in Histopathology Whole-Slide Images with Deep Learning", European Congress on Digital Pathology (ECDP), 2021.
    Abstract
  45. C. González-Gonzalo, E. Thee, B. Liefers, C. Klaver and C. Sánchez, "Deep learning for automated stratification of ophthalmic images: Application to age-related macular degeneration and color fundus images", European Society of Retina Specialists, 2021.
    Abstract Url
  46. K. Venkadesh, A. Schreuder, E. Scholten, S. Atkar-Khattra, J. Mayo, Z. Saghir, M. Wille, B. van Ginneken, S. Lam, M. Prokop and C. Jacobs, "Integration Of A Deep Learning Algorithm Into The Clinically Established PanCan Model For Malignancy Risk Estimation Of Screen-detected Pulmonary Nodules In First Screening CT", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  47. C. González-Gonzalo, S. Wetstein, G. Bortsova, B. Liefers, B. van Ginneken and C. Sánchez, "Are adversarial attacks an actual threat for deep learning systems in real-world eye disease screening settings?", European Society of Retina Specialists, 2020.
    Abstract Url
  48. K. Venkadesh, A. Setio, Z. Saghir, B. van Ginneken and C. Jacobs, "Deep Learning for Lung Nodule Malignancy Prediction: Comparison With Clinicians and the Brock Model on an Independent Dataset From a Large Lung Screening Trial", Annual Meeting of the Radiological Society of North America, 2020.
    Abstract
  49. C. Mercan, M. Balkenhol, J. Laak and F. Ciompi, "Grading nuclear pleomorphism in breast cancer using deep learning", European Congress of Pathology, 2020.
    Abstract
  50. B. Liefers, P. Taylor, C. González-Gonzalo, A. Tufail and C. Sánchez, "Achieving expert level performance in quantifying 13 distinctive features of neovascular age-related macular degeneration on optical coherence tomography", European Society of Retina Specialists, 2020.
    Abstract Url
  51. L. Studer, J. Bokhorst, I. Zlobec, A. Lugli, A. Fischer, F. Ciompi, J. van der Laak, I. Nagtegaal and H. Dawson, "Validation of computer-assisted tumour-bud and T-cell detection in pT1 colorectal cancer", European Congress of pathology, 2020.
    Abstract
  52. T. Haddad, J. Bokhorst, L. van den Dobbelsteen, F. Simmer, J. van der Laak and I. Nagtegaal, "Characterisation of the tumour-host interface as a prognostic factor through deep learning systems", United European Gastroenterology Journal, 2020.
    Abstract
  53. D. Grob, S. Schalekamp, L. Oostveen, W. van der Woude, C. Jacobs, M. Prokop, I. Sechopoulos and M. Brink, "Pulmonary nodule growth: can follow-up be shortened with a high-end or an ultra-high-resolution CT scanner?", European Congress of Radiology, 2020.
    Abstract
  54. M. Balkenhol, P. Bult, D. Tellez, W. Vreuls, P. Clahsen, F. Ciompi and J. der Laak, "Deep learning enables fully automated mitotic density assessment in breast cancer histopathology", European Journal of Cancer, 2020.
    Abstract
  55. T. Riepe, M. Hosseinzadeh, P. Brand and H. Huisman, "Anisotropic Deep Learning Multi-planar Automatic Prostate Segmentation", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2020.
    Abstract
  56. A. Ardu, B. Liefers, C. de Vente, C. González-Gonzalo, C. Klaver and C. Sánchez, "Artificial Intelligence for the Classification and Quantification of Reticular Pseudodrusen in Multimodal Retinal Images", European Society of Retina Specialists, 2020.
    Abstract Url
  57. J. Bokhorst, F. Ciompi, I. Zlobec, A. Lugli, M. Vieth, R. Kirsch, J. van der Laak and I. Nagtegaal, "Computer-assisted hot-spot selection for tumor budding assessment in colorectal cancer", European Congress of Pathology, 2020.
    Abstract
  58. C. de Vente, M. van Grinsven, S. De Zanet, A. Mosinska, R. Sznitman, C. Klaver and C. Sánchez, "Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography", Association for Research in Vision and Ophthalmology, 2020.
    Abstract
  59. W. Sanderink, J. Teuwen, L. Appelman, I. Sechopoulos, N. Karssemeijer and R. Mann, "Simultaneous multi-slice single-shot DWI compared to routine read-out-segmented DWI for evaluation of breast lesions", ISMRM Benelux, 2020.
    Abstract
  60. K. van Leeuwen, S. Schalekamp, M. Rutten, B. van Ginneken and M. de Rooij, "Scientific Evidence for 100 Commercially Available Artificial Intelligence Tools for Radiology: A Systematic Review", Annual Meeting of the Radiological Society of North America, 2020.
    Abstract
  61. J. Bokhorst, I. Nagtegaal, I. Zlobec, A. Lugli, M. Vieth, R. Kirsch, J. van der Laak and F. Ciompi, "Deep learning based tumor bud detection in pan-cytokeratin stained colorectal cancer whole-slide images", European Congress of Pathology, 2020.
    Abstract
  62. M. Hermsen, T. de Bel, M. den Boer, E. Steenbergen, J. Kers, S. Florquin, J. Roelofs, M. Stegall, M. Alexander, B. Smith, B. Smeets, L. Hilbrands and J. van der Laak, "Deep learning-based histopathological assessment of renal tissue", American Society of Nephrology Kidney Week 2019, 2019.
    Abstract
  63. D. Valkenburg, E. Runhart, B. Liefers, S. Lambertus, C. Sánchez, F. Cremers, B. Nathalie M and C. Hoyng, "Familial discordance in disease phenotype in siblings with Stargardt disease", Association for Research in Vision and Ophthalmology, 2019.
    Abstract
  64. N. Khalili, N. Lessmann, E. Turk, M. Viergever, M. Benders and I. Isgum, "Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2019.
    Abstract
  65. D. Grob, L. Oostveen, C. Jacobs, M. Prokop, C. Schaefer-Prokop, I. Sechopoulos and M. Brink, "Intra-patient comparison of pulmonary nodule enhancement in subtraction CT and dual-energy CT", Annual Meeting of the European Society of Thoracic Imaging, 2019.
    Abstract
  66. B. Liefers, J. Colijn, C. González-Gonzalo, A. Vaidyanathan, H. van Zeeland, P. Mitchell, C. Klaver and C. Sánchez, "Prediction of areas at risk of developing geographic atrophy in color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2019.
    Abstract
  67. M. Silva, G. Milanese, F. Sabia, C. Jacobs, B. van Ginneken, M. Prokop, C. Schaefer-Prokop, S. Sestini, A. Marchiano, N. Sverzellati and U. Pastorino, "Lung Cancer Screening in NLST Eligibles: Tailoring Annual Low-Dose Computed Tomography by Post-Test Risk Stratification", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract
  68. T. van den Heuvel, B. van Ginneken and C. de Korte, "Improving Maternal Care In Resource-Limited Settings Using A Low-Cost Ultrasound Device And Machine Learning", Dutch Bio-Medical Engineering Conference, 2019.
    Abstract
  69. C. Jacobs, E. Scholten, A. Schreuder, M. Prokop and B. van Ginneken, "An observer study comparing radiologists with the prize-winning lung cancer detection algorithms from the 2017 Kaggle Data Science Bowl", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract
  70. H. van Zeeland, J. Meakin, B. Liefers, C. González-Gonzalo, A. Vaidyanathan, B. van Ginneken, C. Klaver and C. Sánchez, "EyeNED workstation: Development of a multi-modal vendor-independent application for annotation, spatial alignment and analysis of retinal images", Association for Research in Vision and Ophthalmology, 2019.
    Abstract Cited by ~1
  71. W. Bulten, H. Pinckaers, C. Hulsbergen-van de Kaa and G. Litjens, "Automated Gleason Grading of Prostate Biopsies Using Deep Learning", United States and Canadian Academy of Pathology (USCAP) 108th Annual Meeting, 2019.
    Abstract Cited by ~9
  72. G. Chlebus, G. Humpire Mamani, A. Schenk, B. van Ginneken and H. Meine, "Mimicking radiologists to improve the robustness of deep-learning based automatic liver segmentation", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract
  73. S. van Velzen, J. Terry, B. de Vos, N. Lessmann, S. Nair, A. Correa, H. Verkooijen, J. Carr and I. Isgum, "Automatic prediction of coronary heart disease events using coronary and thoracic aorta calcium among african americans in the Jackson Heart Study", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract
  74. C. van 't Klooster, H. Nathoe, J. Hjortnaes, M. Bots, I. Isgum, N. Lessmann, Y. van der Graaf, T. Leiner and F. Visseren, "Prevalence and risk factors of multifocal cardiovascular calcification in patients at high cardiovascular risk", European Society of Cardiology Congress, 2019.
    Abstract
  75. W. Sanderink, J. Teuwen, L. Appelman, I. Sechopoulos, N. Karssemeijer and R. Mann, "Simultaneous multi-slice single-shot DWI compared to routine read-out-segmented DWI for evaluation of breast lesions", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2019.
    Abstract
  76. C. González-Gonzalo, B. Liefers, A. Vaidyanathan, H. van Zeeland, C. Klaver and C. Sánchez, "Opening the "black box" of deep learning in automated screening of eye diseases", Association for Research in Vision and Ophthalmology, 2019.
    Abstract Url
  77. M. Silva, G. Milanese, F. Sabia, C. Jacobs, B. van Ginneken, M. Prokop, C. Schaefer-Prokop, A. Marchiano, N. Sverzellati and U. Pastorino, "Lung cancer risk after baseline round of screening: Only 20% of NLST eligibles require annual round", Annual Meeting of the European Society of Thoracic Imaging, 2019.
    Abstract
  78. J. Engelberts, C. González-Gonzalo, C. Sánchez and M. van Grinsven, "Automatic Segmentation of Drusen and Exudates on Color Fundus Images using Generative Adversarial Networks", Association for Research in Vision and Ophthalmology, 2019.
    Abstract
  79. S. van Velzen, N. Lessmann, M. Emaus, H. van den Bongard, H. Verkooijen and I. Isgum, "Deep learning for calcium scoring in radiotherapy treatment planning CT scans in breast cancer patients", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract
  80. W. Aswolinskiy, H. Horlings, L. Mulder, J. van der Laak, J. Wesseling, E. Lips and F. Ciompi, "Potential of an AI-based digital biomarker to predict neoadjuvant chemotherapy response from preoperative biopsies of Luminal-B breast cancer", European Congress of Pathology, 2019.
    Abstract
  81. T. Haddad, N. Farahani, J. Bokhorst, F. Doubrava-Simmer, F. Ciompi, I. Nagtegaal and J. van der Laak, "A Colorectal Carcinoma in 3D: Merging Knife-Edge Scanning Microscopy and Deep Learning", EACR, 2019.
    Abstract
  82. J. Bokhorst, H. Dawson, A. Blank, I. Zlobec, A. Lugli, M. Vieth, R. Kirsch, M. Urbanowicz, S. Brockmoeller, J. Flejou, L. Rijstenberg, J. van der Laak, F. Ciompi and I. Nagtegaal, "Assessment of tumor buds in colorectal cancer. A large-scale international digital observer study", European Congress of Pathology, 2019.
    Abstract
  83. C. Jacobs and B. van Ginneken, "Deep learning for detection and characterization of lung nodules", Annual Meeting of the European Society of Thoracic Imaging, 2019.
    Abstract
  84. F. Meijer, P. Willems, M. Meijs and R. Manniesing, "Color-mapping visualization of 4D-CTA in neurovascular disease", European Society of Neuroradiology, 2018.
    Abstract
  85. A. van der Eerden, T. van den Heuvel, B. Geurts, B. Platel, T. Vyveree, L. van den Hauwee, T. Andriessen, B. Goraj and R. Manniesing, "Automatic versus human detection of traumatic cerebral microbleeds on susceptibility weighted imaging", European Congress of Radiology, 2018.
    Abstract
  86. H. Pinckaers and G. Litjens, "Training convolutional neural networks with megapixel images", Medical Imaging with Deep Learning, 2018.
    Abstract arXiv
  87. M. Hall, A. Setio, S. Sheridan, M. Sproule, M. Williams, E. Scholten, C. Jacobs, B. Van Ginneken and G. Roditi, "Computer aided detection (CAD) and scoring of lung nodules in a Scottish lung cancer screening programme", European Congress of Radiology, 2018.
    Abstract DOI
  88. M. Hermsen, T. de Bel, M. den Boer, E. Steenbergen, J. Kers, S. Florquin, B. Smeets, L. Hilbrands and J. van der Laak, "Glomerular detection, segmentation and counting in PAS-stained histopathological slides using deep learning", Dutch Federation of Nephrology (NfN) Fall Symposium, 2018.
    Abstract
  89. B. van Ginneken, "Deep Machine Learning for Screening LDCT", Journal of Thoracic Oncology, 2018;13:S190.
    Abstract
  90. A. Schreuder, C. Jacobs, N. Lessmann, E. Scholten, I. Isgum, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Improved Lung Cancer and Mortality Prediction Accuracy Using Survival Models Based on Semi-Automatic CT Image Measurements", World Conference on Lung Cancer, 2018.
    Abstract
  91. B. van Ginneken, "Real-Life Artificial Intelligence Applications", Journal of the Belgian Society of Nephrology, 2018.
    Abstract DOI Cited by ~1
  92. A. Schreuder, C. Jacobs, L. Gallardo-Estrella, C. and Schaefer-Prokop, W. Fukumoto, M. Prokop and B. van Ginneken, "Normalized emphysema score progression: An improved CT biomarker for mortality", Annual Meeting of the Radiological Society of North America, 2018.
    Abstract
  93. M. Meijs, A. Patel, S. van de Leemput, B. van Ginneken, M. Prokop and R. Manniesing, "Fast, Robust and Accurate Segmentation of the Complete Cerebral Vasculature in 4D-CTA using Deep Learning", Annual Meeting of the Radiological Society of North America, 2018.
    Abstract
  94. A. Schreuder, C. Schaefer-Prokop, E. Scholten, D. Lynch, J. Charbonnier and C. Jacobs, "Perifissural nodule count as a biomarker for COPD GOLD stages and emphysema measurements?", European Societies of Cardiovascular Radiology and Thoracic Imaging Joint Meeting, 2018.
    Abstract
  95. K. Koschmieder, A. van der Eerden, B. van Ginneken and R. Manniesing, "Brain Extraction in Susceptibility-Weighted MR Images using Deep Learning", Annual Meeting of the Radiological Society of North America, 2018.
    Abstract
  96. A. Schreuder, B. van Ginneken, E. Scholten, C. Jacobs, M. Prokop, N. Sverzellati, S. Desai, A. Devaraj and C. Schaefer-Prokop, "What is a perifissural nodule? Low inter-observer agreement in NLST data", European Societies of Cardiovascular Radiology and Thoracic Imaging joint meeting, 2018.
    Abstract
  97. E. Smeets, J. Teuwen, J. van der Laak, M. Gotthardt, F. Ciompi and E. Aarntzen, "Tumor heterogeneity as a PET-biomarker predicts overall survival of pancreatic cancer patients", European Society for Molecular Imaging, 2018.
    Abstract
  98. M. Meijs, S. Pegge, M. Prokop, B. van Ginneken, F. Meijer and R. Manniesing, "Detection of vessel occlusion in acute stroke is facilitated by color-coded 4D-CTA", European Congress of Radiology, 2017.
    Abstract
  99. J. Bukala, G. Humpire Mamani, E. Scholten, M. Prokop, B. van Ginneken and C. Jacobs, "Fully Automatic Measurement of the Splenic Volume in CT with U-Net Convolutional Neural Networks", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  100. B. de Vos, N. Lessmann, P. de Jong, M. Viergever and I. Isgum, "Direct coronary artery calcium scoring in low-dose chest CT using deep learning analysis", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  101. S. van de Leemput, F. Meijer, M. Prokop and R. Manniesing, "Cerebral white matter, gray matter and cerebrospinal fluid segmentation in CT using VCAST: a volumetric cluster annotation and segmentation tool", European Congress of Radiology, 2017.
    Abstract
  102. F. Venhuizen, S. Schaffhauser, V. Schreur, B. Liefers, B. van Ginneken, C. Hoyng, T. Theelen, E. de Jong and C. Sánchez, "Fully automated detection of hyperreflective foci in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017.
    Abstract
  103. L. Stoilescu, M. Maas and H. Huisman, "Feasibility of multireference tissue normalization of T2-weighted prostate MRI", European Society for Magnetic Resonance in Medicine and Biology, 2017.
    Abstract
  104. J. Teuwen, M. Kallenberg, A. Gubern-Merida, A. Rodriguez-Ruiz, N. Karssemeijer and R. Mann, "Automated pre-selection of mammograms without abnormalities using deep learning", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  105. M. Hermsen, T. de Bel, M. van de Warenburg, J. Knuiman, E. Steenbergen, G. Litjens, B. Smeets, L. Hilbrands and J. van der Laak, "Automatic segmentation of histopathological slides from renal allograft biopsies using artificial intelligence", Dutch Federation of Nephrology (NfN) Fall Symposium, 2017.
    Abstract
  106. T. van den Heuvel, C. de Korte and B. van Ginneken, "Automated Measurement of Fetal Head Circumference in Ultrasound Images", Dutch Bio-Medical Engineering Conference, 2017.
    Abstract
  107. J. Gomez, C. Sánchez, B. Liefers, F. Venhuizen, G. Fatti, A. Morilla-Grasa, Y. Cartagena, A. Cabarcos, A. Santos, M. Ledesma-Carbayo and A. Anton-Lopez, "Automated Analysis of Retinal Images for detection of Glaucoma based on Convolutional Neural Networks", Association for Research in Vision and Ophthalmology, 2017.
    Abstract Cited by ~2
  108. M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Isgum, "Deep learning analysis of the left ventricular myocardium in cardiac CT images enables detection of functionally significant coronary artery stenosis regardless of coronary anatomy", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  109. A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken, "Use of a risk model combining clinical information and CT findings to customize follow-up intervals in lung cancer screening", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  110. M. Silva, G. Capretti, N. Sverzellati, C. Jacobs, F. Ciompi, B. van Ginneken, C. Schaefer-Prokop, A. Marchianò and U. Pastorino, "Subsolid and part-solid nodules in lung cancer screening: comparison between visual and computer-aided detection", European Congress of Radiology, 2017.
    Abstract
  111. L. Stoilescu and H. Huisman, "Feasibility of multireferencetissue normalization of T2weighted prostate MRI", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  112. S. Pegge, M. Meijs, M. Prokop, R. Manniesing and F. Meijer, "Color-mapping of 4D-CTA for the detection and classification of cranial arteriovenous fistulas", European Society of Neuroradiology, 2017.
    Abstract
  113. A. Patel, F. Meijer, M. Prokop, B. van Ginneken and R. Manniesing, "Robust segmentation of the cranial cavity in non-contrast CT and CT perfusion of the brain", European Congress of Radiology, 2017.
    Abstract
  114. M. Silva, G. Capretti, N. Sverzellati, C. Jacobs, F. Ciompi, B. van Ginneken, C. Schaefer-Prokop, M. Prokop, A. Marchiano and U. Pastorino, "Non-solid and Part-solid Nodules: Comparison Between Visual and Computer Aided Detection", World Congress of Thoracic Imaging, 2017.
    Abstract
  115. R. van Hamersvelt, M. Zreik, N. Lessmann, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Isgum, "Improving Specificity of Coronary CT Angiography for the Detection of Functionally Significant Coronary Artery Disease: A Deep Learning Approach", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  116. N. Lessmann, B. van Ginneken, P. de Jong, W. Veldhuis, M. Viergever and I. Isgum, "Deep learning analysis for automatic calcium scoring in routine chest CT", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  117. B. Liefers, F. Venhuizen, V. Schreur, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of the foveal center in optical coherence tomography", Association for Research in Vision and Ophthalmology, 2017.
    Abstract
  118. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann, "Prognostic factors of interval carcinomas occurring in an intermediate and high risk breast cancer screening program", European Congress of Radiology, 2016.
    Abstract
  119. M. van Grinsven, F. Venhuizen, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of hemorrhages on color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2016.
    Abstract Cited by ~3
  120. F. Venhuizen, M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Fully automated quantification of intraretinal cysts in 3D optical coherence tomography", Association for Research in Vision and Ophthalmology, 2016.
    Abstract
  121. R. Manniesing, S. van de Leemput, M. Prokop and B. van Ginneken, "White Matter and Gray Matter Segmentation in 4D CT Images of Acute Ischemic Stroke Patients: a Feasibility Study", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  122. N. Karssemeijer, K. Holland, I. Sechopoulos, R. Mann, G. den Heeten and C. van Gils, "High Breast Compression in Mammography May Reduce Sensitivity", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  123. R. Becks, M. Meijs, R. Manniesing, J. Vister, S. Schalekamp, R. Mann, S. Steens, E. Smit, E. van Dijk, M. Prokop and F. Meijer, "Additional Value of Brain CT Perfusion in The Detection of Intracranial Vessel Occlusion in Acute Ischemic Stroke: A (Multi Experience Level) Inter-Observer Study", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  124. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann, "Differences between cancers detected in prophylactic mastectomy specimen, screen detected cancers and true interval cancers in women participating in an intermediate and high risk screening program", European Breast Cancer Conference, 2016.
    Abstract
  125. K. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer and M. Lillholm, "Breast Cancer Risk Prediction with Density Independent Texture Features", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  126. E. Scholten, C. Jacobs, C. Schaefer-Prokop, J. Rühaak, H. de Koning, M. Oudkerk, P. de Jong, M. Prokop and B. van Ginneken, "Temporal subtraction of chest CT in lung cancer screening", European Congress of Radiology, 2016.
    Abstract
  127. F. Mohamed Hoesein, E. Pompe, D. Lynch, N. Lessmann, J. Lammers, I. Išgum and P. de Jong, "Computed tomographic findings are associated with respiratory mortality in the National Lung Screening Trial", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  128. S. Vreemann, A. Gubern-Mérida, C. Borelli, N. Karssemeijer and R. Mann, "Background Parenchymal Enhancement as a predictor of breast cancer grade: a pilot study", European Congress of Radiology, 2016.
    Abstract
  129. F. Ciompi, K. Chung, A. Setio, S. van Riel, E. Scholten, P. Gerke, C. Jacobs, U. Pastorino, A. Marchiano, M. Wille, M. Prokop and B. van Ginneken, "Pulmonary nodule type classification with convolutional networks", Medical Image Computing and Computer-Assisted Intervention, 2016.
    Abstract
  130. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann, "The performance of MRI screening in the detection of breast cancer in an intermediate and high risk screening program", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2016.
    Abstract
  131. B. Liefers, V. Schreur, T. Theelen and C. Sánchez, "Registration and grading of micro-aneurysms in Fluorescein Angiography and OCT Angiography", 4th International Congress on OCT Angiography and Advances in OCT, 2016.
    Abstract
  132. J. Wanders, K. Holland, P. Peeters, N. Karssemeijer and C. van Gils, "Volumetric Breast Density And The Risk Of Screen-Detected And Interval Breast Cancer", Annual conference of the International Agency for Research on Cancer, 2016.
    Abstract
  133. M. Meijs, M. Prokop, F. Meijer, B. van Ginneken and R. Manniesing, "Segmentation of small cerebral vessels on CT perfusion images of patients with suspected acute stroke", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  134. J. Charbonnier, D. Lynch, S. Humphries, M. Strand and E. van Rikxoort, "Relative Contributions of Quantitative CT Measures to Airflow Obstruction in Cigarette Smokers", American Thoracic Society International Conference, 2016.
    Abstract
  135. J. Charbonnier, E. Pompe, C. Moore, S. Humphries, B. van Ginneken, D. Lynch, B. Make and E. van Rikxoort, "Airway Dimensions in Current and Former smokers: an independent predictor of Airflow Obstruction and Respiratory Quality of Life in Cigarette Smokers", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  136. M. Hermsen and J. van der Laak, "Highly multiplexed immunofluorescence using spectral imaging", DPA's Pathology Visions Conference 2016, San Diego, CA, US, 2016.
    Abstract
  137. M. Kallenberg, M. Lillholm, P. Diao, K. Petersen, K. Holland, N. Karssemeijer, C. Igel and M. Nielsen, "Assessing Breast Cancer Masking Risk with Automated Texture Analysis in Full Field Digital Mammography", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract Cited by ~3
  138. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, B. Platel, N. Karssemeijer and R. Mann, "Longitudinal results of a breast MRI screening program for patients at high and intermediate risk; does BRCA status matter?", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  139. J. Wanders, K. Holland, P. Peeters, N. Karssemeijer and C. van Gils, "Volumetric breast density and the risk of screen detected and interval breast cancer", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  140. R. Arntz, S. van den Broek, L. Rutten-Jacobs, N. Maaijwee, I. van Uden, M. Ghafoorian, B. Platel, E. van Dijk and F. de Leeuw, "Small vessel disease after stroke at young age: the FUTURE-study", European Stroke Organization, 2015.
    Abstract
  141. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "Optimisation of the selection of women with an increased risk of a masked tumour for supplementary screening", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  142. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, R. Mann, B. Platel and N. Karssemeijer, "Automated Detection of Mass-like, Non-mass-like and Focus Breast Cancer Lesions Visible in False-negative Screening DCE-MRI", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  143. M. Kallenberg, M. Lillholm, P. Diao, K. Holland, N. Karssemeijer, C. Igel and M. Nielsen, "Assessing breast cancer masking risk in full field digital mammography with automated texture analysis", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  144. M. Dalmis, A. Gubern-Mérida, S. Vreemann, B. Platel, R. Mann and N. Karssemeijer, "Is Late Phase Information Necessary for Dynamic Evaluation of Breast Cancer?", European Congress of Radiology, 2015.
    Abstract
  145. S. van Riel, F. Ciompi, M. Wille, M. Naqibullah, E. Scholten, C. Schaefer-Prokop and B. van Ginneken, "Lung-RADS versus the McWilliams nodule malignancy score for risk prediction: an evaluation using lesions from the DLCST Trial", World Conference on Lung Cancer, 2015.
    Abstract
  146. L. Wang, A. Gubern-Mérida, O. Diaz, Y. Diez, R. Mann, S. Diekmann, F. Zohrer, H. Laue and J. Schwaab, "Automated detection of motion in breast DCE-MRI to assess study quality and prevent unnecessary call-backs", European Congress of Radiology, 2015.
    Abstract DOI
  147. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, B. Platel, N. Karssemeijer and R. Mann, "A critical audit of a breast MRI screening programme for intermediate and high risk patients in clinical practice", European Congress of Radiology, 2015.
    Abstract
  148. J. Wanders, K. Holland, P. Peeters, N. Karssemeijer and C. van Gils, "Combined effect of dense and nondense breast volume on breast cancer risk", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  149. S. van Riel, F. Ciompi, M. Wille, E. Scholten, A. Dirksen, K. Chung, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Comparing LungRADS and the McWilliams nodule malignancy score: which approach works best to select screen detected pulmonary nodules for more aggressive followup?", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  150. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "How can we identify women at risk for a masked cancer, who may benefit from supplemental screening?", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  151. S. van Riel, K. Chung, E. Scholten, P. de Jong, C. Schaefer-Prokop and B. van Ginneken, "ACR Lung-RADS guidelines for pure ground-glass nodules: is a threshold of 20mm adequate?", European Congress of Radiology, 2015.
    Abstract
  152. E. Pompe, P. De Jong, E. Van Rikxoort, L. Gallardo-Estrella, W. De Jong, R. Vliegenthart, M. Oudkerk, C. der Van Aalst, B. Van Ginneken, J. Lammers and F. Mohamed Hoesein, "Bone density is associated with emphysema and air trapping on CT in smokers", American Thoracic Society International Conference, 2015.
    Abstract DOI Cited by ~1
  153. P. Maduskar, I. Adetifa, J. van den Hombergh, E. Leroy-Terquem, A. Fasan-Odunsi, C. Sánchez, U. d'Alessandro and B. van Ginneken, "Computerized Reading of Chest Radiographs in The Gambia National Tuberculosis Prevalence Survey: Retrospective Comparison with Human Experts", Union World Conference on Lung Health, 2015.
    Abstract
  154. I. van Uden, H. van der Holst, A. Tuladhar, A. van Norden, K. de Laat, R. Arntz, M. Ghafoorian, B. Platel, J. Claassen, R. Kessels, E. van Dijk and F. de Leeuw, "Both WMH increase and decline increase the risk of incident dementia; a prospective cohort study: the RUN DMC study", European Stroke Organization, 2015.
    Abstract
  155. C. Sánchez, S. Lambertus, B. Bloemen, N. Bax, F. Venhuizen, M. van Grinsven, B. van Ginneken, T. Theelen and C. Hoyng, "Automatic quantification of geographic atrophy in fundus autofluorescence images of Stargardt patients", Association for Research in Vision and Ophthalmology, 2015.
    Abstract
  156. R. Philipsen, C. Sánchez, P. Maduskar, J. Melendez, B. van Ginneken and W. Lew, "Objective Computerized Chest Radiography Screening to Detect Tuberculosis in the Philippines", Union World Conference on Lung Health, 2015.
    Abstract
  157. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "Consistency of density categories over multiple screening rounds using volumetric breast density", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  158. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, S. Lardenoije, R. Mann, B. Platel and N. Karssemeijer, "Automated detection of breast cancer as an aid in the interpretation of screening MRI", European Congress of Radiology, 2015.
    Abstract
  159. A. Ritchie, M. Tammemagi, C. Jacobs, W. Zhang, J. Mayo, H. Roberts, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tsao and S. Lam, "Automated measurement of malignancy risk of lung nodule detected by screening computed tomography", World Conference on Lung Cancer, 2015.
    Abstract
  160. L. Wang, A. Gubern-Mérida, S. Diekmann, R. Mann, H. Laue and H. Hahn, "Automatic Spatial Linking of Lesions in Breast MRI Follow-up Images", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  161. M. Dalmis, A. Gubern-Mérida, S. Vreemann, R. Mann, N. Karssemeijer and B. Platel, "Early Phase Contrast Enhancement Dynamics of Breast Lesions of Different Molecular Subtypes Characterized by a Computer-Aided-Diagnosis System", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  162. F. Venhuizen, M. Breukink, B. van Ginneken, M. van Grinsven, B. Bloemen, C. Hoyng, T. Theelen, C. Boon and C. Sánchez, "Automated Quantification of Subretinal Fluid in Central Serous Chorioretinopathy in 3D Optical Coherence Tomography Images", Association for Research in Vision and Ophthalmology, 2015.
    Abstract
  163. J. Wanders, K. Holland, W. Veldhuis, R. Mann, P. Peeters, C. van Gils and N. Karssemeijer, "Effect of volumetric mammographic density on performance of a breast cancer screening program using full-field digital mammography", European Congress of Radiology, 2015.
    Abstract
  164. M. Kallenberg, K. Petersen, M. Lillholm, D. JAfA rgensen, P. Diao, K. Holland, N. Karssemeijer, C. Igel and M. Nielsen, "Automated texture scoring for assessing breast cancer masking risk in full field digital mammography", European Congress of Radiology, 2015.
    Abstract Cited by ~1
  165. K. Holland, A. Gubern-Mérida, R. Mann and N. Karssemeijer, "Improved volumetric breast density assessment in dense breasts", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  166. K. Chung, E. Scholten, S. van Riel, F. Ciompi, P. de Jong, M. Wille, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Differentiation of persistent and transient subsolid nodules: does morphology help?", European Congress of Radiology, 2015;85(3):648-652.
    Abstract
  167. A. Ritchie, C. Sanghera, C. Jacobs, W. Zhang, J. Mayo, H. Roberts, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tammemagi and S. Lam, "Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT", World Conference on Lung Cancer, 2015.
    Abstract
  168. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, B. Platel, N. Karssemeijer and R. Mann, "Breast cancers not detected by MRI in a high and intermediate risk screening program", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  169. J. Wanders, K. Holland, W. Veldhuis, R. Mann, P. Peeters, C. van Gils and N. Karssemeijer, "Effect of volumetric mammographic density on performance of a breast cancer screening program using full-field digital mammography", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  170. V. Lohner, I. van Uden, H. van der Holst, A. Tuladhar, A. van Norden, M. Bergkamp, K. de Laat, R. Arntz, M. Ghafoorian, B. Platel, E. van Dijk and F. de Leeuw, "Run away from small vessel disease: physical activity reduces progression of white matter hyperintensities: the RUN DMC study", European Stroke Organization, 2015.
    Abstract
  171. A. Gubern-Mérida, T. Tan, J. van Zelst, R. Mann, B. Platel and N. Karssemeijer, "Evaluation of a Novel Method to Segment the Pectoral Muscle Surface in Automated Whole Breast Ultrasound", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  172. F. Venhuizen, M. van Grinsven, C. Hoyng, T. Theelen, B. van Ginneken and C. Sánchez, "Vendor Independent Cyst Segmentation in Retinal SD-OCT Volumes using a Combination of Multiple Scale Convolutional Neural Networks", Medical Image Computing and Computer-Assisted Intervention, 2015.
    Abstract
  173. M. van Grinsven, F. Venhuizen, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of eye diseases using automated color fundus image analysis", Association for Research in Vision and Ophthalmology, 2015.
    Abstract
  174. E. Scholten, C. Jacobs, B. van Ginneken, S. van Riel, R. Vliegenthart, M. Oudkerk, M. Prokop, H. Gietema and P. de Jong., "Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation", European Congress of Radiology, 2015.
    Abstract Cited by ~39
  175. J. Charbonnier, L. Hogeweg, J. Kuhnigk, D. Lynch and E. Van Rikxoort, "Sensitivity of airway wall thickness measurements: influence of small airways", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract Url
  176. N. Lessmann, I. Isgum, S. Lam, J. Mayo, P. de Jong, M. Viergever and B. van Ginneken, "Automatic coronary calcium scoring and cardiovascular risk estimation in the Pan-Canadian lung cancer screening trial", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  177. J. Charbonnier, M. Brink, F. Ciompi, E. Scholten, C. Schaefer-Prokop and E. Van Rikxoort, "Automatic Separation and Classification of Arteries and Veins in Non-Contrast Thoracic CT Scans", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract Url
  178. S. van Riel, F. Ciompi, M. Wille, E. Scholten, N. Sverzellati, S. Rossi, A. Dirksen, M. Brink, R. Wittenberg, M. Naqibullah, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Can morphological features differentiate between malignant and benign pulmonary nodules, detected in a screen setting?", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  179. M. van Grinsven, G. Buitendijk, C. Brussee, B. van Ginneken, T. Theelen, C. Klaver and C. Sánchez, "Automatic detection of reticular drusen using multimodal retinal image analysis", Association for Research in Vision and Ophthalmology, 2014.
    Abstract
  180. A. Zaidi, N. Khalid, R. Philipsen, B. van Ginneken, S. Khowaja and A. Khan, "Symptomatic screening and computer-aided radiography for active-case finding of tuberculosis: a prediction model for TB case detection", 45th World Conference on Lung Health, 2014.
    Abstract
  181. E. Vos, T. Kobus, G. Litjens, T. Hambrock, C. - van de Kaa, M. Maas and T. Scheenen, "Multiparametric MR imaging for the assessment of prostate cancer aggressiveness at 3 Tesla", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2014.
    Abstract
  182. L. Gallardo-Estrella, E. Pompe, F. Mohamed Hoesein, P. De Jong, B. van Ginneken, E. van Rikxoort, H. de Koning, M. Oudkerk and J. Lammers, "Relationship between Lung Function Parameters and CT Measurements of Emphysema, Airways, and Tracheal Collapse in Subjects with Mild COPD", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  183. M. Schmidt, E. Rikxoort, J. Kuhnigk, P. Judy and B. van Ginneken, "Subvoxel Accurate Airway Wall Measurements using an Intensity Integration Approach: Comparative Study using the COPDGene Phantom", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  184. B. van Ginneken, C. Jacobs, E. Scholten, M. Prokop and P. de Jong, "Feasibility of Rapid Reading of CT Lung Cancer Screening with Computer-Aided Detection Support", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  185. S. Schalekamp, I. van den Berk, I. Hartmann, M. Snoeren, A. Odink, S. Pegge, L. Schijf, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppressed images improve pulmonary fungal infection detection in chest radiographs", European Congress of Radiology, 2014.
    Abstract
  186. S. Schalekamp, N. Karssemeijer, C. Schaefer-Prokop and B. van Ginneken, "Double reading improves detection of small lung tumors in chest radiographs: can a computer aided detection system replace the second reader?", European Congress of Radiology, 2014.
    Abstract
  187. W. van de Ven, S. Rinsma, N. Karssemeijer, J. Barentsz and H. Huisman, "Electro-magnetic tracker-based fusion for image-guided TRUS prostate biopsy", European Congress of Radiology, 2014.
    Abstract Cited by ~3
  188. F. Ciompi, B. de Hoop, C. Jacobs, M. Prokop, P. a de Jong and B. van Ginneken, "Automatic Classification of Perifissural Pulmonary Nodules in Thoracic CT Images", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  189. A. Steiner, F. Mhimbira, J. van den Hombergh, P. Clowes, C. Mangu, B. van Ginneken, M. Hoelscher and K. Reither, "Computer-aided diagnosis of X-rays in a screening for pulmonary tuberculosis of a prison population in Tanzania", 45th World Conference on Lung Health, 2014.
    Abstract
  190. R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C. Sánchez and B. van Ginneken, "Robust Computer-Aided Detection of Tuberculosis in Chest Radiographs Using Energy Normalization", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  191. M. Oei, R. Manniesing, W. and van denRieneke Boom, B. van Ginneken, F. Meijer and M. Prokop, "One-Step-Stroke CT Imaging - Part I: Optimization of Interleaved Acquisition of Cerebral CT Perfusion and Neck CT Angiography", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  192. A. Setio, J. Gelderblom, C. Jacobs and B. van Ginneken, "Automatic Detection of Large Pulmonary Nodules in Thoracic CT Images", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  193. B. Lassen, J. Kuhnigk, C. Jacobs, E. van Rikxoort and B. van Ginneken, "Fully Automatic Volumetric Segmentation of Pulmonary Nodules: Evaluation using the Complete LIDC/IDRI Database", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  194. A. Khan, A. Zaidi, R. Philipsen, S. Khowaja, B. van Ginneken, A. Khan and T. Dossul, "Detection of Chest X-ray abnormalities and tuberculosis using computer-aided detection vs interpretation by radiologists and a clinical officer", 45th World Conference on Lung Health, 2014.
    Abstract Url
  195. G. Litjens, N. Karssemeijer, J. Barentsz and H. Huisman, "Computer-aided Detection of Prostate Cancer in Multi-parametric Magnetic Resonance Imaging", Annual Meeting of the Radiological Society of North America, 2014.
    Abstract
  196. M. Oei, R. Manniesing, F. Meijer and M. Prokop, "One-Step-Stroke Imaging: Does an Interleaved Acquisition of Cerebral CT Perfusion and CTA of the Carotids Affect CTP Values", European Congress of Radiology, 2014.
    Abstract
  197. W. van de Ven, N. Karssemeijer, J. Barentsz and H. Huisman, "Image registration for prostate MR guided biopsy using automated biomechanical modeling", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  198. M. Schmidt, E. van Rikxoort, O. Mets, P. de Jong, J. Kuhnigk, M. Oudkerk, H. de Koning and B. van Ginneken, "Reproducibility of automated three-dimensional airway wall thickness measurements in thoracic computed tomography and influence of inspiration depth", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  199. C. Jacobs, B. van Ginneken, S. Fromme, M. Prokop and E. van Rikxoort, "Benchmarking computer-aided detection of pulmonary nodules on the recently completed publicly available LIDC/IDRI database", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  200. S. van Riel, C. Schaefer-Prokop, E. van Rikxoort, B. van Ginneken, M. Prokop, S. Schalekamp, C. Jacobs, P. de Jong, H. Gietema and E. Scholten, "Impact of section thickness on classification of pulmonary nodules into solid, part-solid, and non-solid: an observer study", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  201. M. Maas, M. Koopman, G. Litjens, A. Wright, K. Selnas, I. Gribbestad, M. Haider, K. Macura, D. Margolis, B. Kiefer, J. Fütterer and T. Scheenen, "Prostate Cancer localization with a Multiparametric MR Approach (PCaMAP): initial results of a multi-center study", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2013.
    Abstract Cited by ~2
  202. S. van Riel, E. van Rikxoort, C. Jacobs, S. Schalekamp, M. Prokop, B. van Ginneken, P. de Jong, E. Scholten, H. Gietema and C. Schaefer-Prokop, "Intra- and inter-reader variability of pulmonary nodule classification according to the Fleischner guidelines: clinical consequences", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  203. C. Jacobs, E. van Rikxoort, J. Kuhnigk, E. Scholten, P. de Jong, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Automated characterization of pulmonary nodules in thoracic CT images using a segmentation-based classification system", European Congress of Radiology, 2013.
    Abstract
  204. J. van Zelst, R. Mus, T. Tan, N. Karssemeijer and R. Mann, "Feasibility of automated 3D breast ultrasound scanning in screening of women with high risk", European Congress of Radiology, 2013.
    Abstract Cited by ~2
  205. B. van Ginneken, E. van Rikxoort, S. Lafebre, C. Jacobs, M. Schmidt, J. Kuhnigk, M. Prokop, C. Schaefer-Prokop, J. Charbonnier, L. Hogeweg, P. Maduskar, L. Gallardo-Estrella, R. Philipsen and B. Lassen, "CIRRUS Lung: an optimized workflow for quantitative image analysis of thoracic computed tomography and chest radiography for major pulmonary diseases: chronic obstructive pulmonary disease, lung cancer and tuberculosis", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  206. S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, ""Computer aided detection of lung nodules in chest radiographs: novel approaches to improve reader performance"", MIPS, 2013.
    Abstract
  207. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Initial prospective evaluation of the prostate imaging reporting and data standard (PI-RADS): Can it reduce unnecessary MR guided biopsies?", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  208. J. van Zelst, T. Tan, B. Platel, N. Karssemeijer and R. Mann, "Evaluation of spiculation and retraction patterns in coronal reconstructions in 3D Automated Breast Ultrasound (ABUS) improve differentiation between benign and malignant breast lesions", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  209. M. Teussink, M. van Grinsven, B. Cense, C. Hoyng, J. Klevering and T. Theelen, "Functional optical coherence tomography with a commercial device - a pilot study", Association for Research in Vision and Ophthalmology, 2013.
    Abstract
  210. M. Brink, E. van Rikxoort, J. Charbonnier, S. van Riel, C. Schaefer-Prokop and M. Prokop, "Iodine Mapping of the Lung Using Subtraction Imaging for Pulmonary Embolism: Technique and Initial Clinical Experience", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  211. S. Schalekamp, B. van Ginneken, M. Brink, B. Heggelman, M. Spee, I. Somers, N. Karssemeijer and C. Schaefer-Prokop, ""Computer Aided Detection shows added value to Bone Suppression Imaging for the detection of lung nodules in chest radiographs"", WCTI, 2013.
    Abstract
  212. M. Oei, R. van den Boom, L. Oostveen, H. Laue, B. van Ginneken, R. Manniesing and M. Prokop, "Influence of Temporal Sampling Rate of CTP acquisitions on Cerebral Perfusion Maps using a Digital Phantom", European Congress of Radiology, 2013.
    Abstract
  213. R. van den Boom, M. Oei, L. Oostveen, H. Laue, B. van Ginneken, R. Manniesing and M. Prokop, "Effect of dose reduction on cerebral CT perfusion maps: results from a hybrid digital perfusion phantom", European Congress of Radiology, 2013.
    Abstract
  214. C. Jacobs, E. van Rikxoort, J. Kuhnigk, E. Scholten, P. de Jong, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Non-solid, part-solid or solid? Classification of pulmonary nodules in thoracic CT by radiologists and a computer-aided diagnosis system", European Congress of Radiology, 2013.
    Abstract
  215. P. Maduskar, L. Hogeweg, H. Ayles and B. van Ginneken, "Performance evaluation of automatic chest radiograph reading for detection of tuberculosis (TB): a comparative study with clinical officers and certified readers on TB suspects in sub-Saharan Africa", European Congress of Radiology, 2013.
    Abstract
  216. S. Schalekamp, N. Karssemeijer, C. Schaefer-Prokop and B. van Ginneken, ""Independent combination of multiple readers for the detection of lung nodules in chest radiographs: setting a benchmark for computer-aided detection"", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  217. S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, L. Meiss, A. Tiehuis, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression imaging improves observer performance for the detection of lung nodules in chest radiographs", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  218. B. Durmus, R. Gaillard, R. Manniesing, D. Heppe, A. Hofman and V. Jaddoe, "Maternal Smoking During Pregnancy and Adiposity in School Age Children: The Generation R Study", International Society for Development Origins of Health and Disease, 2012.
    Abstract
  219. M. van Grinsven, J. van de Ven, Y. Lechanteur, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic Drusen Detection and Quantification for Diagnosis of Age-Related Macular Degeneration", Association for Research in Vision and Ophthalmology, 2012.
    Abstract
  220. R. Mann, R. Mus, C. Geppert, C. Frentz, N. Karssemeijer, H. Huisman and B. Platel, "Dynamic analysis of breast lesions: Can we use the wash-in phase instead of the wash-out phase?", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2012.
    Abstract Cited by ~2
  221. S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, L. Meiss, A. Tiehuis, E. Koedam, L. Quekel, M. Snoeren, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Botsuppressie in thoraxfoto's verbetert de detectie van pulmonale nodules door radiologen", Radiologen Dagen, 2012.
    Abstract
  222. M. Schmidt, E. van Rikxoort, O. Mets, P. de Jong, J. Kuhnigk and B. van Ginneken, "Automatic Quantification of Airway Dimensions in COPD: Processing Large Databases of Chest CT scans", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  223. S. Schalekamp, B. van Ginneken, E. Koedam, L. Quekel, M. Snoeren, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Computer aided detection helps radiologists to detect pulmonary nodules in chest radiographs, when having bone suppressed images available", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  224. B. Lassen, M. Schmidt, E. van Rikxoort, B. van Ginneken, C. Jacobs, J. Kuhnigk and M. Prokop, "Automated and interactive image analysis workstation for the extraction of imaging biomarkers related to chronic obstructive pulmonary disease from thoracic computed tomography scans", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  225. R. Mus, R. Mann, A. Moyakine, C. Geppert, B. Platel, N. Karssemeijer and J. Barentsz, "MRI Screening of the Breast in Less than 2 Minutes: A Prelude to Extend MR Breast Screening Possibilities", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  226. E. Vos, G. Litjens, T. Kobus, T. Hambrock, C. van de Hulsbergen Kaa, H. Huisman and T. Scheenen, "Dynamic contrast enhanced MR imaging for the assessment of prostate cancer aggressiveness at 3T", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2012.
    Abstract
  227. A. Nair, S. Desai, C. J., A. Edey, S. Walsh, G. Robinson, J. Field, D. Baldwin, R. Vliegenthart, M. Oudkerk, B. van Ginneken, P. de Jong, M. Prokop, D. Hansell and A. Devaraj, "The impact of numbers of readers and methods of arbitration on pulmonary nodule detection in the context of lung cancer screening with CT", Annual Meeting of the European Society of Thoracic Imaging, 2012.
    Abstract
  228. M. van Grinsven, B. van Ginneken and C. Sánchez, "Web-based workstation for the analysis of color fundus images", ISBI Medical Image Analysis Workshop, 2012.
    Abstract
  229. R. van den Boom, M. Oei, L. Oostveen, S. Lafebre, B. van Ginneken, R. Manniesing and M. Prokop, "Effect of radiation exposure on quantitative evaluation of cerebral CT perfusion maps: results from a hybrid digital phantom", European Congress of Radiology, 2012.
    Abstract
  230. B. Platel, T. Welte, R. Mus, R. Mann, C. Sánchez, H. Hahn and N. Karssemeijer, "Automated Evaluation of an Ultrafast MR Imaging Protocol for the Characterization of Breast Lesions", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  231. M. Kallenberg, C. van Gils, R. Mann and N. Karssemeijer, "Association between automated, volumetric measures of breast density and diagnostic outcome of mammography screening examinations", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  232. L. Wang, B. Platel, T. Ivanovskaya, M. Harz and H. Hahn, "Fully automatic breast segmentation in 3D breast MRI", IEEE International Symposium on Biomedical Imaging, 2012.
    Abstract Cited by ~50
  233. C. Jacobs, E. van Rikxoort, T. Twellmann, P. de Jong, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Improved computer-aided detection of pulmonary nodules by combining a solid and subsolid nodule CAD system", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  234. E. van Rikxoort, B. van Ginneken, M. Schmidt, A. Lahaije, H. van Helvoort, A. Prokop and Y. Heijdra, "Dynamic Hyperinflation in COPD Patients: Is It Related to Emphysema and Airway Morphology in Inspiration and Expiration Thoracic CT?", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  235. B. van Ginneken, L. Hogeweg, P. Maduskar, L. Peters-Bax, R. Dawson, K. Dheda, H. Ayles, J. Melendez and C. Sánchez, "Performance of inexperienced and experienced observers in detection of active tuberculosis on digital chest radiographs with and without the use of computer-aided diagnosis", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  236. J. Mordang, M. Oei, R. van den Boom, H. Laue, L. Oostveen, M. Prokop, B. van Ginneken and R. Manniesing, "Effect of Dose Reduction in CT Perfusion Scans on Cerebral Blood Flow and Volume Computed with Three Perfusion Software Packages: Analysis with a Digital Phantom", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  237. E. Smit, E. Vonken, F. Meijer, J. Dankbaar, A. Horsch, B. van Ginneken, B. Velthuis, I. van der Schaaf and M. Prokop, "Acute Ischemic Stroke Assessment on CT-Angiography That Derived from CT-Perfusion Images", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  238. J. Melendez, C. Sánchez, B. van Ginneken and N. Karssemeijer, "Detection of breast carcinomas potentially missed during screening by means of a standalone CAD system", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  239. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Computerized characterization of central gland lesions using texture and relaxation features from T2-weighted prostate MRI", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  240. M. Oei, R. van den Boom, L. Oostveen, S. Lafebre, E. Smit, B. van Ginneken, R. Manniesing and M. Prokop, "Hybrid digital phantom for optimizing data acquisition strategies in CT perfusion", European Congress of Radiology, 2012.
    Abstract
  241. L. Gallardo-Estrella, B. van Ginneken, O. Mets, P. Zanen, P. de Jong, C. Schaefer-Prokop and E. van Rikxoort, "Trachea Shape Analysis from Inspiration and Expiration Thoracic Computed Tomography Scans", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  242. C. Jacobs, J. Kuhnigk, E. van Rikxoort, T. Twellmann, P. de Jong, H. Gietema, B. Lassen, C. Schaefer-Prokop, M. Prokop and B. van Ginneken, "Optimized workflow for low dose thoracic CT lung cancer screening: automated detection, measurement, temporal matching and volumetry and mass analysis, individualized prediction of cancer risk, structured reporting with follow-up recommendation", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  243. S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, M. Snoeren, L. Quekel, E. Koedam, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression imaging improves observer performance for the detection of lung nodules in chest radiographs", Annual Meeting of the European Society of Thoracic Imaging, 2012.
    Abstract
  244. C. Jacobs, E. Scholten, S. Saur, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Ground Glass Nodules in Lung Cancer Screening: Retrospective Evaluation of Potential Benefit", European Congress of Radiology, 2012.
    Abstract
  245. L. Gallardo-Estrella, P. de Jong, O. Mets, B. van Ginneken and E. van Rikxoort, "Automatic classification of pulmonary function in COPD patients using trachea analysis in chest CT scans", Annual Meeting of the European Society of Thoracic Imaging, 2012.
    Abstract
  246. R. Mann, R. Mus, C. Geppert, C. Frentz, N. Karssemeijer, H. Huisman and B. Platel, "Initial maximum slope of the contrast enhancement versus time curve for dynamic evaluation of breast lesions on ultrafast breast MRIs", European Congress of Radiology, 2012.
    Abstract Url
  247. M. Schmidt, E. van Rikxoort, O. Mets, P. de Jong, P. Zanen, J. Kuhnigk and B. van Ginneken, "Relating Automatic Quantification of Airway Wall Thickness, Emphysema and Air Trapping in Inspiration and Expiration Chest CT Scans to COPD GOLD Stages", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  248. B. Lassen, E. van Rikxoort, J. Kuhnigk and B. van Ginneken, "Fast and Intuitive Interactive Lung Lobe Segmentation in Thoracic Computed Tomography Scans", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  249. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Zone-specific Automatic Computer-aided Detection of Prostate Cancer in MRI", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  250. P. Maduskar, L. Hogeweg, H. Ayles, R. Dawson, P. de Jong and B. van Ginneken, "Automatic Size Measurement of Cavities on Chest Radiographs Using Supervised Learning and Dynamic Programming", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  251. G. Karemore, S. Brandt, N. Karssemeijer and M. Nielsen, "Discovery of Mammogram Regions That Show Early Changes Due to the Development of Breast Cancer: A Preliminary Work", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  252. S. Schalekamp, B. Heggelman and C. Schaefer-Prokop, ""Focal lesions on Gadoxetate disodium enhanced and diffusionweighted liver MRI: a guidance for differential diagnosis"", European Congress of Radiology, 2011.
    Abstract
  253. P. Ciet, P. Wielopolski, S. Lever, R. Manniesing, M. de Bruijne, M. Lequin and H. Tiddens, "MRI Tracheomalacia Assessment in Pediatric Patients: Feasibility Study", European Congress of Radiology, 2011.
    Abstract
  254. N. Karssemeijer, R. Hupse, M. Samulski, D. Beijerinck, G. Heeten and C. Boetes, "Concurrent Interactive Use of CAD for Detection of Masses in Mammograms", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  255. E. van Rikxoort, M. Galperin-Aizenberg, C. Jude, J. Goldin and M. Brown, "Quantifying Emphysema From Chest Computed Tomography Scans Using Integral Geometry Descriptors: Improved Performance Over Density Measures In Low Dose Scans", American Thoracic Society International Conference, 2011.
    Abstract
  256. M. Schouten, K. Nagel, T. Hambrock, C. Hoeks, G. Litjens, J. Barentsz and J. Fütterer, "Differentiation of Normal Prostate Tissue, Prostatitis, and Prostate Cancer: Correlation between Diffusion-weighted Imaging and MR-guided Biopsy", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  257. N. Karssemeijer, T. Tan, B. Platel, T. Twellmann, L. Tabar, A. Grivignee, R. Mus and H. Huisman, "A Novel System for Computer-aided Lesion Classification in Automated 3D Breast Ultrasound", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  258. D. Chong, H. Kim, E. van Rikxoort, M. Galperin, K. Yang, Y. Jung, M. McNitt-Gray, J. Goldin and M. Brown, "Reproducibility of densitometric measures of emphysema in computed tomography scans one week apart: the effect of breathhold and scanner calibration", American Thoracic Society International Conference, 2011.
    Abstract
  259. N. Karssemeijer, T. Tan, T. Twellmann, G. van Schie, A. Grivignee, L. Tabar, R. Mann and R. Mus, "Computer Aided Interpretation of Lesions in Automated 3D Breast Ultrasound", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  260. I. Išgum, P. de Jong, W. Mali, B. van Ginneken, M. Prokop and M. Viergever, "Automatic Coronary Calcium Scoring in Low-Dose Non-ECG-synchronized Chest Computed Tomography (CT) Scans from a Lung Cancer Screening Trial", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  261. M. Oei, B. Goraj, F. Meijer, J. Mordang, A. Idema, S. Boots-Sprenger, H. Laue and M.Prokop, "Variability of relative cerebral blood volume normalization in patients with gliomas: Interobserver and intraobserver reproducibility study", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2011.
    Abstract
  262. B. Schroeder, R. Highnam, A. Cave, J. Walker, N. Karssemeijer, M. Yaffe, R. Jong and O. Alonzo-Proulx, "At What Age Should Breast Screening Begin?", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  263. C. Jacobs, E. Scholten, S. Saur, T. Twellmann, P. de Jong and B. van Ginneken, "Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  264. O. Debats, T. Hambrock, G. Litjens, H. Huisman and J. Barentsz, "Detection of Lymph Node Metastases with Ferumoxtran-10 vs Ferumoxytol", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  265. L. Hogeweg, A. Story, A. Hayward, R. Aldridge, I. Abubakar, P. Maduskar and B. van Ginneken, "Computer-aided detection of tuberculosis among high risk groups: potential for automated triage", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  266. S. Amin, J. Goldin, M. Zeidler, E. Kleerup, P. Lu, M. Galperin-Aizenberg, E. van Rikxoort, D. Gjertson and D. Ross, "Air trapping on HRCT assessed by quantitative image analysis as an early predictor of bronchiolitis obliterans syndrome in lung transplant recipients", American Thoracic Society International Conference, 2011.
    Abstract
  267. P. Wielopolski, P. Ciet, R. Manniesing, S. Lever, M. Lequin, G. Krestin and H. Tiddens, "Automated Airway Lumen Segmentation and Characterization in Patients with Tracheomalacia: a Feasibility Study", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2011.
    Abstract
  268. M. Galperin-Aizenberg, E. van Rikxoort, M. Brown, H. Kim, F. Abtin and J. Goldin, "Automatic Fissural Integrity Quantification from Chest CT Predicts Lobar Atelectasis in Endobronchial Treatment", American Thoracic Society International Conference, 2011.
    Abstract
  269. E. van Rikxoort, M.Galperin-Aizenberg, F. Abtin, H. Kim, P. Lu, G. Shaw, J. Goldin and M. Brown, "Pulmonary Fissure Integrity Assessment in Subjects with Severe Emphysema: Evaluation of a Fully Automatic Method", American Thoracic Society International Conference, 2011.
    Abstract
  270. B. Platel, H. Huisman, H. Laue, R. Mann, H. Hahn, N. Karssemeijer and R. Mus, "Computerized Characterization of Breast Masses Using Dual-Temporal Resolution Dynamic Contrast-enhanced MR Images", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  271. C. Mol, B. van Ginneken, M. de Bruijne, P. de Jong, M. Oudkerk, A. Dirksen and P. Zanen, "Correction of Quantitative Emphysema Measures with Density Calibration Based on Measurements in the Trachea", Annual Meeting of the Radiological Society of North America, 2010.
    Abstract Cited by ~1
  272. J. van Kuijk, R. Manniesing, D. Goei, Y. van Gestel, S. Hoeks, M. Koek, J. Hermans, W. Niessen, H. Verhagen and D. Poldermans, "Automatic Quantication of Abdominal Visceral Fat Content: a True Marker for Metabolic Syndrome?", European Society of Cardiology, 2010.
    Abstract
  273. R. Manniesing, M. Koek, D. Goei, J. Hermans, W. Niessen and D. Poldermans, "Fully Automated Abdominal Fat Quantification using 3D Computed Tomography Angiography", European Congress of Radiology, 2010.
    Abstract
  274. W. van de Ven, B. Kleine, G. van Elswijk, R. Oostenveld and D. Stegeman, "The alpha-motoneuron pool as transmitter of rhythmicities in cortical motor drive", International Society of Electrophysiology and Kinesiology, 2010.
    Abstract
  275. P. Vos, J. Fütterer, N. Karssemeijer and J. Huisman, "Computer-assisted Diagnosis of Prostate Cancer with Multimodal3T MR Imaging", Annual Meeting of the Radiological Society of North America, 2010.
    Abstract
  276. P. Wielopolski, P. Ciet, G. Krestin, M. Lequin, H. Tiddens and R. Manniesing, "Automated airway lumen segmentation and characterization for use in patients with tracheomalacya: a feasibility study", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2010.
    Abstract
  277. J. van Dijk, W. van de Ven and D. Stegeman, "Evaluating the motor unit number index (MUNIX) as a measure for motor unit loss", International Society of Electrophysiology and Kinesiology, 2010.
    Abstract
  278. W. van de Ven, J. van Basten, B. de Kruif, P. Dunias and F. Wieringa, "[Broad spectrum in vivo diffuse spectrometry - An exploration for improvements to the distinction of the neurovasular bundle during robot prostatectomy (RALP)]", Nederlands Tijdschrift voor Urologie, 2010;6:159.
    Abstract
  279. M. Dinesh, L. Raghupathi, P. Devarakota, P. Maduskar, M. Salganicoff and L. Bogoni, "Thick-slice lung nodule detection: CAD prototype performance evaluation", European Congress of Radiology, 2010.
    Abstract
  280. H. Huisman, J. Veltman, M. Zijp, R. Mann, R. Mus and N. Karssemeijer, "Dual-Time Resolution Characterization of Masses on Breast DCEMR", Annual Meeting of the Radiological Society of North America, 2010.
    Abstract
  281. L. Hogeweg, C. Mol, P. de Jong, H. Ayles, R. Dawson and B. van Ginneken, "Evaluation of a computer aided detection system for tuberculosis on chest radiographs in a high-burden setting", Annual Meeting of the Radiological Society of North America, 2010.
    Abstract Cited by ~2
  282. D. Vukadinovic, T. van Walsum, R. Manniesing, S. Rozie, T. de Weert, A. van der Lugt and W. Niessen, "Automated Segmentation of Atherosclerotic Plaque in MDCT Angiogaphy of the Carotid Artery", 2nd Dutch Conference on Biomedical Engineering, 2009:56.
    Abstract
  283. E. van Rikxoort, M. Prokop, B. de Hoop, J. Pluim and B. van Ginneken, "Automatic Segmentation of the Pulmonary Lobes from Computed Tomography Chest CT Scans: Robustness Against Incomplete Fissures by Including Contextual Information", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  284. I. Išgum, B. van Ginneken, P. Jacobs, M. Gondrie, W. Mali and M. Prokop, "Automatic determination of cardiovascular risk from thoracic CT scans using a coronary calcium atlas", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  285. B. van Ginneken, K. Murphy, E. van Rikxoort, I. Išgum, B. de Hoop, M. Prokop, P. de Jong and H. Gietema, "Quantification of Emphysema and Small Airway Disease in COPD Patients from Lobar Analysis of Volumetric Inspiration and Expiration Thoracic CT Scans", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract Cited by ~3
  286. B. de Hoop, P. Zanen, H. Gietema, B. van Ginneken, H. Groen and M. Prokop, "The Predictive Value of CT Quantified Pulmonary Emphysema on the Decline of Lung Function in Chronic Smokers: Results of a Long-term Follow-up Study", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  287. E. Smit, A. Mendrik, A. Waaijer, G. Bertolini, E. Vonken, B. van Ginneken and M. Prokop, "Reconstruction of high-quality CTA from noisy cerebral CT perfusion data", European Congress of Radiology, 2009.
    Abstract
  288. D. Stegeman, G. van Elswijk, W. van de Ven and B. Kleine, "The three frequencies: the alpha-motoneuron pool as transmitter of rhythmicities in cortico-spinal motor drive", International workshop and conference on human reflexes: wiring and firing of motoneurons, 2009.
    Abstract
  289. G. Litjens, M. Heisen, J. Buurman, A. Wood, M. Medved, G. Karczmar and B. Haar-Romeny, "T1 Quantification: Variable Flip Angle Method vs Use of Reference Phantom", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  290. K. Murphy, B. van Ginneken, J. Pluim, T. Altes, M. Prokop and E. de Lange, "Comparison of airflow defects in asthma patients assessed by breath-hold inspiration and expiration CT and by hyperpolarized helium-3 magnetic resonance imaging", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  291. A. Mendrik, E. Vonken, E. Smit, B. van Ginneken and M. Prokop, "Reduction of Venous Overprojection Using Cerebral Arteriograms from CT Perfusion Scans of Subarachnoid Hemorrhage Patients", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  292. M. Niemeijer, M. Garvin, K. Lee, M. Sonka, B. van Ginneken and M. Abràmoff, "Automated Segmentation of the Retinal Vasculature Silhouettes in Isotropic 3D Optical Coherence Tomography Scans", Association for Research in Vision and Ophthalmology, 2009.
    Abstract
  293. W. Deserno, O. Debats, Y. Hoogeveen and J. Barentsz, "Effect of MR Lymphography on the Probability for Lymph Node Involvement in Patients with Prostate Cancer", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  294. R. Manniesing, D. Vukadinovic, S. Rozie, M. Schaap, A. van der Lugt and W. Niessen, "Automated CTA Lumen Segmentation of the Atherosclerotic Carotid Artery Bifurcation", Annual Meeting of the Radiological Society of North America, 2009.
    Abstract
  295. I. Išgum, P. Jacobs, M. Gondrie, B. van Ginneken, M. Oudkerk, W. Mali, Y. van der Graaf and M. Prokop, "Cardiovascular risk assessment in lung cancer screening scans: do coronary and aortic calcium scores yield comparable risks for individual subjects?", European Congress of Radiology, 2009.
    Abstract
  296. E. Brunenberg, V. Prckovska, B. Platel, G. Strijkers and B. ter Haar Romeny, "Untangling a fiber bundle knot - Preliminary results on STN connectivity using DTI and HARDI on rat brains", Proceedings of the International Society for Magnetic Resonance in Medicine, 2009;17:740.
    Abstract Cited by ~10
  297. B. van Ginneken, E. van Rikxoort, W. Baggerman, B. de Hoop and M. Prokop, "Automatic Extraction and Anatomical Labeling of the Airway Tree from Inspiration and Expiration Thoracic CT Scans", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  298. B. van Ginneken, B. de Hoop, E. van Rikxoort, K. Murphy and M. Prokop, "Relating Airway Morphology in Heavy Smokers to Pulmonary Function Impairment", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  299. P. Koopmans, R. Manniesing, W. Niessen, M. Viergever and M. Barth, "Vein Classification using Vesselness Filters on SWI Data Acquired at 3T and 7T", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2008.
    Abstract
  300. E. van Rikxoort, B. van Ginneken, J. Goldin, M. Brown and M. Prokop, "Automatic Quantification of Completeness of Pulmonary Fissures on a Large Database", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  301. A. Firouzian, R. Manniesing, A. van der Lugt, H. Flach and W. Niessen, "Intracranial Aneurysm Segmentation in CTA: Method and Quantitative Validation", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  302. B. de Hoop, B. van Ginneken, C. Schaefer-Prokop, P. de Jong, H. Gietema and M. Prokop, "Workup of suspicious lesions on digital chest radiography: estimation of the number of unnecessary follow-up CT scans in relation to the threshold of radiological suspicion on chest radiographs", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  303. B. van Ginneken, B. de Hoop and M. Prokop, "Automatic Estimation of Three-Dimensional Lung Volume from Posterior-Anterior and Lateral Chest Radiographs", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  304. B. de Hoop, H. Gietema, B. van Ginneken, P. Zanen and M. Prokop, "Variability of semi-automated pulmonary nodule volume measurements: A comparison of 6 lung nodule evaluation software packages", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  305. K. Murphy, B. van Ginneken, E. van Rikxoort, B. de Hoop, J. Pluim and M. Prokop, "Prediction of Obstructive Pulmonary Function by Quantitative Lobar Evaluation of Density Change between Inspiration and Expiration on Thoracic CT", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract Cited by ~1
  306. K. Murphy, M. Prokop, C. Schaefer-Prokop, H. Gietema, G. Nossent, B. van Ginneken, J. Pluim and Y. Arzhaeva, "Improved Efficiency of Assessment of Interstitial Lung Disease Progression in CT of the Chest by Visualisation of Automatically-registered Image Pairs", Annual Meeting of the Radiological Society of North America, 2008.
    Abstract
  307. Y. Arzhaeva, M. Prokop, P. de Jong, C. Schaefer-Prokop and B. van Ginneken, "Computer-aided detection of interstitial abnormalities in chest radiographs", Annual Meeting of the Radiological Society of North America, 2007:407.
    Abstract
  308. A. Mendrik, E. Vonken, B. van Ginneken and M. Prokop, "Automatic segmentation of arteries and veins in 4D cerebral CT perfusion scans", Annual Meeting of the Radiological Society of North America, 2007:644.
    Abstract
  309. E. van Rikxoort, M. Prokop, B. de Hoop, H. Gietema and B. van Ginneken, "Automatic Estimation of Lobar and Segmental Variation of Emphysema Distribution in Chronic Smokers", Annual Meeting of the Radiological Society of North America, 2007:610.
    Abstract
  310. H. Gietema, P. Zanen, A. Schilham, B. van Ginneken, R. van Klaveren and M. Prokop, "Distribution of emphysema in heavy smokers: Impact on extent of airflow limitation and gas exchange impairment", Annual Meeting of the Radiological Society of North America, 2007:610.
    Abstract
  311. I. Išgum, A. Rutten, M. Prokop and B. van Ginneken, "Automated Calcium Scoring in the Aorta in Low Dose Non-contrast-enhanced CT Scans of the Thorax", Annual Meeting of the Radiological Society of North America, 2007:405.
    Abstract
  312. E. van Rikxoort, M. Prokop and B. van Ginneken, "Automatic Lung Segmentation from Chest CT Scans Using a Hybrid Algorithm Robust against Pathology", Annual Meeting of the Radiological Society of North America, 2007:267.
    Abstract
  313. Y. Arzhaeva, K. Murphy, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Application of computerized texture analysis of CT lung images for estimation of interstitial lung disease progression", Annual Meeting of the Radiological Society of North America, 2007:267.
    Abstract
  314. P. Koopmans, R. Manniesing, D. Norris, M. Viergever and M. Barth, "Vein Segmentation from 3D High Resolution MR Venograms by Using Vessel Enhancing Diffusion", European Soci