Publications

Papers in international journals

  1. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Išgum, 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, 2021.
    Abstract DOI PMID
  2. 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 vs manual interpretation of low-dose computed tomography scans for lung cancer screening: impact on Lung-RADS agreement", Radiology: Imaging Cancer, 2021;3(5):e200160.
    Abstract DOI PMID
  3. 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
  4. 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
  5. E. Callı, E. Sogancioglu, B. van Ginneken, K. van Leeuwen and K. Murphy, "Deep learning for chest X-ray analysis: A survey", 2021;72:102125.
    Abstract DOI PMID
  6. 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
  7. M. Hermsen, V. Volk, J. Bräsen, 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
  8. 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
  9. 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
  10. 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
  11. B. de Vos, N. Lessmann, P. de Jong and I. Išgum, "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
  12. 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. Išgum 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
  13. 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
  14. 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
  15. 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
  16. 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;PP.
    Abstract DOI PMID
  17. 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.
    Abstract DOI PMID
  18. 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
  19. M. Balkenhol, F. Ciompi, Ż. Świderska-Chadaj, R. van de Loo, M. Intezar, I. Otte-Höller, 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.", BREAST, 2021;56:78-87.
    Abstract DOI PMID
  20. 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.", TP, 2021;49(4):714-719.
    Abstract DOI PMID
  21. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Išgum, 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
  22. 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
  23. 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 GitHub Algorithm
  24. 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
  25. 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
  26. 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
  27. K. Leeuwen, F. Meijer, S. Schalekamp, M. Rutten, E. Dijk, B. 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
  28. 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
  29. 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.
    Abstract DOI
  30. E. Callı, 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", 2021;16(7):e0255301.
    Abstract DOI
  31. 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
  32. J. Twilt, K. van Leeuwen, H. Huisman, J. Fütterer and M. de Rooij, "Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review", Diagnostics, 2021;11(6).
    Abstract DOI
  33. A. Hering, S. Häger, 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
  34. 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 GitHub Algorithm
  35. 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.
    Abstract DOI
  36. 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.
    Abstract DOI arXiv
  37. 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, 2021.
    Abstract DOI
  38. A. Sekuboyina, M. Husseini, A. Bayat, M. Löffler, H. Liebl, H. Li, G. Tetteh, J. Kukačka, C. Payer, D. Štern, 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, É. 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. Huỳnh, 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
  39. G. Humpire Mamani, J. Bukala, E. Scholten, M. Prokop, B. van Ginneken and C. Jacobs, "Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning", Radiology: Artificial Intelligence, 2020;2(4):e190102.
    Abstract DOI PMID Cited by ~1 Algorithm
  40. A. Schreuder, C. Jacobs, E. Scholten, B. van Ginneken, C. Schaefer-Prokop and M. Prokop, "Typical CT Features of Intrapulmonary Lymph Nodes: A Review", Radiology: Cardiothoracic Imaging, 2020;2(4):e190159.
    Abstract DOI PMID
  41. A. Rossi, M. Hosseinzadeh, M. Bianchini, F. Scarselli and H. Huisman, "Multi-modal siamese network for diagnostically similar lesion retrieval in prostate MRI", IEEE Transactions on Medical Imaging, 2020.
    Abstract DOI PMID
  42. B. van Ginneken, "The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia", Radiology, 2020:204238.
    Abstract DOI PMID
  43. 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", Computer Methods and Programs in Biomedicine, 2020:105821.
    Abstract DOI PMID arXiv
  44. M. Silva, G. Milanese, S. Sestini, F. Sabia, C. Jacobs, B. van Ginneken, M. Prokop, C. Schaefer-Prokop, A. Marchiano, N. Sverzellati and U. Pastorino, "Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval", European Radiology, 2020;31(4):1956-1968.
    Abstract DOI PMID
  45. M. Hermsen, B. Smeets, L. Hilbrands and J. van der Laak, "Artificial intelligence; is there a potential role in nephropathology?", Nephrology Dialysis Transplantation, 2020.
    Abstract DOI PMID
  46. Z. Swiderska-Chadaj, K. Hebeda, M. van den Brand and G. Litjens, "Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma", Virchows Archiv, 2020.
    Abstract DOI PMID
  47. M. Meijs, F. Meijer, M. Prokop, B. van Ginneken and R. Manniesing, "Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning", Medical Image Analysis, 2020;66:101810.
    Abstract DOI PMID
  48. 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", Medical Image Analysis, 2020;66:101796.
    Abstract DOI PMID arXiv Cited by ~5
  49. Z. Swiderska-Chadaj, T. de Bel, L. Blanchet, A. Baidoshvili, D. Vossen, J. van der Laak and G. Litjens, "Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer", Scientific Reports, 2020;10(1):14398.
    Abstract DOI PMID
  50. H. Pinckaers, B. van Ginneken and G. Litjens, "Streaming convolutional neural networks for end-to-end learning with multi-megapixel images", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
    Abstract DOI PMID arXiv GitHub
  51. S. Schalekamp, M. Huisman, R. van Dijk, M. Boomsma, P. Freire Jorge, W. de Boer, G. Herder, M. Bonarius, O. Groot, E. Jong, A. Schreuder and C. Schaefer-Prokop, "Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19", Radiology, 2020:202723.
    Abstract DOI PMID
  52. W. Bulten, M. Balkenhol, J. Belinga, A. Brilhante, A. Çakır, L. Egevad, M. Eklund, X. Farré, K. Geronatsiou, V. Molinié, G. Pereira, P. Roy, G. Saile, P. Salles, E. Schaafsma, J. Tschui, A. Vos, B. Delahunt, H. Samaratunga, D. Grignon, A. Evans, D. Berney, C. Pan, G. Kristiansen, J. Kench, J. Oxley, K. Leite, J. McKenney, P. Humphrey, S. Fine, T. Tsuzuki, M. Varma, M. Zhou, E. Comperat, D. Bostwick, K. Iczkowski, C. Magi-Galluzzi, J. Srigley, H. Takahashi, T. van der Kwast, H. van Boven, R. Vink, J. van der Laak, C. der Hulsbergen-van Kaa and G. Litjens, "Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists", Modern Pathology, 2020.
    Abstract DOI PMID
  53. 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: application to color fundus images", IEEE Transactions on Medical Imaging, 2020;39(11):3499-3511.
    Abstract DOI PMID
  54. W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans", IEEE Transactions on Medical Imaging, 2020;39(8):2664-2675.
    Abstract DOI PMID Cited by ~5 Algorithm
  55. A. Schreuder, C. Jacobs, E. Scholten, M. Prokop, B. van Ginneken, D. Lynch and C. Schaefer-Prokop, "Association between the number and size of intrapulmonary lymph nodes and chronic obstructive pulmonary disease severity", PeerJ, 2020;8:e9166.
    Abstract DOI PMID
  56. G. van Leenders, T. van der Kwast, D. Grignon, A. Evans, G. Kristiansen, C. Kweldam, G. Litjens, J. McKenney, J. Melamed, N. Mottet, G. Paner, H. Samaratunga, I. Schoots, J. Simko, T. Tsuzuki, M. Varma, A. Warren, T. Wheeler, S. Williamson, K. Iczkowski and I. Members, "The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma.", American Journal of Surgical Pathology, 2020;44(8):e87-e99.
    Abstract DOI PMID
  57. Z. Kos, A. Roblin, R. Kim, S. Michiels, B. Gallas, W. Chen, K. van de Vijver, S. Goel, S. Adams, S. Demaria, G. Viale, T. Nielsen, S. Badve, W. Symmans, C. Sotiriou, D. Rimm, S. Hewitt, C. Denkert, S. Loibl, S. Luen, J. Bartlett, P. Savas, G. Pruneri, D. Dillon, M. Cheang, A. Tutt, J. Hall, M. Kok, H. Horlings, A. Madabhushi, J. van der Laak, F. Ciompi, A. Laenkholm, E. Bellolio, T. Gruosso, S. Fox, J. Araya, G. Floris, J. Hudeček, L. Voorwerk, A. Beck, J. Kerner, D. Larsimont, S. Declercq, G. den Eynden, L. Pusztai, A. Ehinger, W. Yang, K. AbdulJabbar, Y. Yuan, R. Singh, C. Hiley, M. al Bakir, A. Lazar, S. Naber, S. Wienert, M. Castillo, G. Curigliano, M. Dieci, F. André, C. Swanton, J. Reis-Filho, J. Sparano, E. Balslev, I. Chen, E. Stovgaard, K. Pogue-Geile, K. Blenman, F. Penault-Llorca, S. Schnitt, S. Lakhani, A. Vincent-Salomon, F. Rojo, J. Braybrooke, M. Hanna, M. Soler-Monsó, D. Bethmann, C. Castaneda, K. Willard-Gallo, A. Sharma, H. Lien, S. Fineberg, J. Thagaard, L. Comerma, P. Gonzalez-Ericsson, E. Brogi, S. Loi, J. Saltz, F. Klaushen, L. Cooper, M. Amgad, D. Moore and R. Salgado, "Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer", npj Breast Cancer, 2020;6(1).
    Abstract DOI PMID Cited by ~1
  58. M. Amgad, A. Stovgaard, E. Balslev, J. Thagaard, W. Chen, S. Dudgeon, A. Sharma, J. Kerner, C. Denkert, Y. Yuan, K. AbdulJabbar, S. Wienert, P. Savas, L. Voorwerk, A. Beck, A. Madabhushi, J. Hartman, M. Sebastian, H. Horlings, J. Hudeček, F. Ciompi, D. Moore, R. Singh, E. Roblin, M. Balancin, M. Mathieu, J. Lennerz, P. Kirtani, I. Chen, J. Braybrooke, G. Pruneri, S. Demaria, S. Adams, S. Schnitt, S. Lakhani, F. Rojo, L. Comerma, S. Badve, M. Khojasteh, W. Symmans, C. Sotiriou, P. Gonzalez-Ericsson, K. Pogue-Geile, R. Kim, D. Rimm, G. Viale, S. Hewitt, J. Bartlett, F. Penault-Llorca, S. Goel, H. Lien, S. Loibl, Z. Kos, S. Loi, M. Hanna, S. Michiels, M. Kok, T. Nielsen, A. Lazar, Z. Bago-Horvath, L. Kooreman, J. van der Laak, J. Saltz, B. Gallas, U. Kurkure, M. Barnes, R. Salgado and L. Cooper, "Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group", npj Breast Cancer, 2020;6(1).
    Abstract DOI PMID Cited by ~2
  59. K. Murphy, H. Smits, A. Knoops, M. Korst, T. Samson, E. Scholten, S. Schalekamp, C. Schaefer-Prokop, R. Philipsen, A. Meijers, J. Melendez, B. van Ginneken and M. Rutten, "COVID-19 on the Chest Radiograph: A Multi-Reader Evaluation of an AI System", Radiology, 2020;296:E166–E172.
    Abstract DOI PMID Cited by ~12
  60. M. Prokop, W. van Everdingen, T. van Rees Vellinga, J. van Quarles Ufford, L. Stoger, L. Beenen, B. Geurts, H. Gietema, J. Krdzalic, C. Schaefer-Prokop, B. van Ginneken, M. Brink and the COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society, "CO-RADS - A categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation", Radiology, 2020;296(2):E97-E104.
    Abstract DOI PMID Cited by ~47
  61. S. Habib, S. Rafiq, S. Zaidi, R. Ferrand, J. Creswell, B. Van Ginneken, W. Jamal, K. Azeemi, S. Khowaja and A. Khan, "Evaluation of computer aided detection of tuberculosis on chest radiography among people with diabetes in Karachi Pakistan", Nature Scientific Reports, 2020;10(1):6276.
    Abstract DOI PMID
  62. 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", Nature Scientific Reports, 2020;10:5492.
    Abstract DOI PMID arXiv Cited by ~8
  63. C. van 't Klooster, H. Nathoe, J. Hjortnaes, M. Bots, I. Isgum, N. Lessmann, Y. van der Graaf, T. Leiner and F. Visseren, "Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease", International Journal of Cardiology: Heart and Vasculature, 2020;27:100499.
    Abstract DOI PMID
  64. B. Liefers, J. Colijn, C. González-Gonzalo, T. Verzijden, J. Wang, N. Joachim, 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", Ophthalmology, 2020;127(8):1086-1096.
    Abstract DOI PMID arXiv Cited by ~2
  65. M. Balkenhol, W. Vreuls, C. Wauters, S. Mol, J. van der Laak and P. Bult, "Histological subtypes in triple negative breast cancer are associated with specific information on survival", Annals of Diagnostic Pathology, 2020;46:151490.
    Abstract DOI PMID
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  205. 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.
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  206. 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
  207. 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
  208. 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
  209. 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
  210. 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
  211. 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
  212. 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
  213. 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
  214. 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
  215. 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
  216. 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
  217. 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
  218. 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
  219. 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
  220. 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
  221. 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
  222. 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
  223. 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.
    Abstract DOI PMID Cited by ~17
  224. 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
  225. S. Steens, E. Bekers, W. Weijs, G. Litjens, A. Veltien, A. Maat, G. van den Broek, J. van der Laak, J. Fütterer, 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
  226. 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
  227. 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
  228. 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
  229. 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
  230. 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
  231. 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
  232. 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
  233. 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
  234. 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
  235. 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
  236. 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
  237. N. Moriakov, "On Effective Birkhoff's Ergodic Theorem for Computable Actions of Amenable Groups", Theory of Computing Systems, 2017.
    Abstract DOI
  238. 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
  239. 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
  240. 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
  241. 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
  242. 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
  243. 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
  244. 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
  245. 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
  246. 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
  247. 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
  248. 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
  249. 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
  250. 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
  251. 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
  252. 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
  253. 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
  254. 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
  255. 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
  256. 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
  257. 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
  258. 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
  259. 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
  260. 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
  261. 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
  262. 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
  263. 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
  264. 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
  265. 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
  266. 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
  267. 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
  268. 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
  269. 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
  270. 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
  271. 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
  272. 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
  273. 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
  274. 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
  275. 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
  276. 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
  277. 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
  278. 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
  279. 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
  280. 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
  281. 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
  282. 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
  283. 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
  284. 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
  285. 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
  286. 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
  287. 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
  288. 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
  289. 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
  290. 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
  291. 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
  292. 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
  293. 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
  294. 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
  295. 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
  296. 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
  297. 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
  298. 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
  299. 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
  300. 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
  301. 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
  302. 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
  303. 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
  304. 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
  305. 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
  306. 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
  307. 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
  308. 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
  309. 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
  310. 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
  311. 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
  312. 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
  313. 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
  314. 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
  315. 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
  316. 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
  317. 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
  318. 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
  319. 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
  320. 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
  321. 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
  322. 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
  323. 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
  324. C. Schaefer-Prokop, "[HRCT patterns of the most important interstitial lung diseases]", Radiologe, 2014;54(12):1170-1179.
    Abstract DOI PMID
  325. 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
  326. 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
  327. 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
  328. 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
  329. 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
  330. 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
  331. 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
  332. 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
  333. 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
  334. 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
  335. 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
  336. 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
  337. 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
  338. 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
  339. 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
  340. 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
  341. 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
  342. 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
  343. 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
  344. 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
  345. 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
  346. 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
  347. 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
  348. 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
  349. 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
  350. 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
  351. 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
  352. 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
  353. 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
  354. 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
  355. 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
  356. 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
  357. 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
  358. 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
  359. 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
  360. 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
  361. 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
  362. 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
  363. 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
  364. 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
  365. 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
  366. 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
  367. 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
  368. 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
  369. 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
  370. H. Prosch and C. Schaefer-Prokop, "[Radiological evaluation of incidental pulmonary nodules]", Radiologe, 2013;53(7):623-638.
    Abstract DOI PMID
  371. 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
  372. 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
  373. 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
  374. 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
  375. 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
  376. 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
  377. 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
  378. 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
  379. 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
  380. 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
  381. 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
  382. 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
  383. 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
  384. 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
  385. 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
  386. 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
  387. 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
  388. 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
  389. 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
  390. 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
  391. 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
  392. 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
  393. 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
  394. 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
  395. 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
  396. 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
  397. N. Lessmann, D. Drömann 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
  398. 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
  399. 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
  400. 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
  401. 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
  402. 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
  403. 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
  404. 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
  405. 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
  406. 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
  407. 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
  408. 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
  409. 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
  410. 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
  411. 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
  412. 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
  413. 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
  414. 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
  415. 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
  416. 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
  417. 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
  418. 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
  419. E. Eisenhuber, C. Schaefer-Prokop, H. Prosch and W. Schima, "Bedside chest radiography", Respiratory Care, 2012;57(3):427-443.
    Abstract DOI PMID
  420. 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
  421. 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
  422. 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
  423. 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
  424. 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
  425. 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
  426. 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
  427. 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
  428. 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
  429. 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
  430. 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
  431. 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
  432. 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
  433. 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
  434. 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
  435. 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
  436. 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
  437. 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
  438. 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
  439. 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
  440. 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
  441. 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
  442. 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
  443. 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
  444. 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
  445. 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
  446. 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
  447. 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
  448. 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
  449. 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
  450. 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
  451. 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
  452. 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
  453. 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
  454. 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
  455. 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
  456. 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
  457. 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
  458. 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
  459. 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
  460. 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
  461. 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
  462. 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
  463. 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
  464. 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
  465. 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
  466. 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
  467. 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
  468. 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
  469. 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
  470. 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
  471. 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
  472. 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
  473. 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
  474. 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
  475. 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
  476. 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
  477. 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
  478. 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
  479. 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
  480. 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
  481. 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
  482. 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
  483. 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
  484. 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
  485. C. Schaefer-Prokop, "Conventional and CT diagnostics of bronchial carcinoma", Radiologe, 2010;50(8):675-683.
    Abstract DOI PMID
  486. 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
  487. 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
  488. 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
  489. 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
  490. 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
  491. 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
  492. 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
  493. 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
  494. 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
  495. 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
  496. 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
  497. 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
  498. 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
  499. 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
  500. 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
  501. 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
  502. 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
  503. 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
  504. 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
  505. 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
  506. 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
  507. 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
  508. 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
  509. 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
  510. 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
  511. 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
  512. 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
  513. 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
  514. 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
  515. C. Schaefer-Prokop and M. Uffmann, "Update on digital radiography", European Journal of Radiology, 2009;72(2):193.
    Abstract DOI PMID
  516. 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
  517. 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
  518. 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
  519. 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
  520. 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
  521. 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
  522. 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
  523. 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
  524. 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
  525. 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
  526. 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
  527. 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
  528. 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
  529. 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
  530. 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
  531. 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
  532. 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
  533. 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
  534. 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
  535. 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
  536. 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
  537. 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
  538. 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
  539. 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
  540. 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
  541. 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
  542. 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
  543. 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
  544. 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
  545. 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
  546. 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
  547. 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
  548. 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
  549. 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
  550. B. van Ginneken, "Computer-Aided Diagnosis in Thoracic Computed Tomography", Imaging Decisions MRI, 2008;12(3):11-22.
    Abstract DOI Cited by ~14
  551. 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
  552. 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
  553. 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
  554. 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
  555. 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
  556. 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
  557. 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
  558. 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
  559. 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
  560. 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
  561. 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
  562. 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
  563. 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
  564. 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
  565. 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
  566. 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
  567. 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
  568. 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
  569. 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
  570. 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
  571. 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
  572. 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
  573. 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
  574. 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
  575. 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
  576. 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
  577. 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
  578. 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
  579. 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
  580. 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
  581. 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
  582. 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
  583. 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
  584. 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
  585. 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
  586. 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
  587. 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
  588. 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
  589. 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
  590. 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
  591. 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
  592. 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
  593. 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
  594. 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
  595. 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
  596. 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
  597. 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
  598. 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
  599. 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
  600. 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
  601. 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
  602. 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
  603. 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
  604. 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
  605. 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
  606. 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
  607. 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
  608. 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
  609. 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
  610. 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
  611. 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
  612. 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
  613. 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
  614. 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
  615. 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
  616. 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
  617. 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
  618. 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
  619. 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
  620. 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
  621. 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
  622. 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
  623. 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
  624. 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
  625. B. van Ginneken, "Computerized detection of interstitial disease in chest radiographs", Medical Imaging Technology, 2003;21:15-20.
    Abstract DOI
  626. 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
  627. I. Išgum and B. van Ginneken, "CT segmentation programs extract calcifications", Diagnostic Imaging Europe, 2003;19(6):11-16.
    Abstract Cited by ~1
  628. C. Schaefer-Prokop and J. Klein, "Digital chest radiography", Journal of Thoracic Imaging, 2003;18(3):123.
    Abstract
  629. 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
  630. 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
  631. 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
  632. 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
  633. 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
  634. 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
  635. 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
  636. 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
  637. 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
  638. 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
  639. 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
  640. 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
  641. 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
  642. 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
  643. 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
  644. 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
  645. 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
  646. 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
  647. 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
  648. 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
  649. 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
  650. 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
  651. 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
  652. 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
  653. C. Schaefer-Prokop, "Chest radiography: potential and limitations", Minerva Anestesiol, 1999;65(5 Suppl 1):10-11.
    Abstract PMID
  654. 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
  655. 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
  656. 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
  657. 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
  658. 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
  659. 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
  660. 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
  661. 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
  662. 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
  663. M. Prokop and C. Schaefer-Prokop, "Digital image processing", European Radiology, 1997;7(11):S73-S82.
    Abstract PMID
  664. C. Schaefer-Prokop and M. Prokop, "Storage phosphor radiography", European Radiology, 1997;7 Suppl 3:S58-S65.
    Abstract PMID Cited by ~50
  665. N. Karssemeijer and J. Hendriks, "Computer-assisted reading of mammograms", European Radiology, 1997;7(5):743-748.
    Abstract DOI PMID Cited by ~77
  666. 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
  667. 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
  668. 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
  669. 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
  670. 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
  671. 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
  672. 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
  673. 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
  674. 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
  675. 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
  676. 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
  677. 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
  678. 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
  679. N. Karssemeijer, J. Frieling and J. Hendriks, "Spatial resolution in digital mammography", Investigative Radiology, 1993;28(5):413-419.
    Abstract PMID Cited by ~121
  680. 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
  681. 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
  682. 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
  683. H. Nab, N. Karssemeijer, L. van Erning, A. Verbeek and J. Hendriks, "Digital mammography is very useful in mass screening of breast cancer", Nederlands Tijdschrift voor Geneeskunde, 1990;134(49):2383-2387.
    Abstract PMID Cited by ~3
  684. N. Karssemeijer, "A relaxation method for image segmentation using a spatially dependent stochastic model", Pattern Recognition Letters, 1990;11(1):13 - 23.
    Abstract DOI Cited by ~25
  685. N. Karssemeijer, "A statistical method for automatic labeling of tissues in medical images", Machine Vision and Applications, 1990;3(2):75-86.
    Abstract Url Cited by ~26
  686. N. Karssemeijer, L. van Erning and E. Eijkman, "Recognition of organs in CT-image sequences: a model guided approach", Computers and Biomedical Research, 1988;21(5):434-448.
    Abstract DOI PMID Cited by ~64
  687. P. Vink and N. Karssemeijer, "Low back muscle activity and pelvic rotation during walking", Anatomy and Embryology, 1988;178(5):455-460.
    Abstract DOI PMID
  688. N. Karssemeijer and E. Eijkman, "Modelling and representation of myocardial perfusion images for the evaluation of diagnostic properties", Medical and Biological Engineering and Computing, 1987;25(2):181-188.
    Abstract DOI PMID Cited by ~1

Preprints

  1. 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
  2. C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study", arXiv:2009.09725, 2020.
    Abstract arXiv
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  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. 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
  15. 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
  16. G. Mooij, I. Bagulho and H. Huisman, "Automatic segmentation of prostate zones", arXiv:1806.07146, 2018.
    Abstract arXiv Cited by ~10
  17. 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
  18. 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
  19. D. Belli, S. Hu, E. Sogancioglu and B. van Ginneken, "Chest X-Rays Image Inpainting with Context Encoders", arXiv:1812.00964, 2018.
    Abstract arXiv
  20. A. de Gelder and H. Huisman, "Autoencoders for Multi-Label Prostate MR Segmentation", arXiv:1806.08216, 2018.
    Abstract arXiv Cited by ~3

Papers in conference proceedings

  1. 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
  2. W. Xie, C. Jacobs and B. van Ginneken, "Deep Clustering Activation Maps for Emphysema Subtyping", Medical Imaging with Deep Learning, 2021.
    Abstract Url
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. N. Moriakov, J. Adler and J. Teuwen, "Kernel of CycleGAN as a principal homogeneous space", International Conference on Learning Representations, 2020.
    Abstract Url
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. A. Hering and S. Heldmann, "Unsupervised Learning for Large Motion Thoracic CT Follow-Up Registration", Medical Imaging, 2019;10949:109491B.
    Abstract DOI
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. H. Meine and A. Hering, "Efficient prealignment of CT scans for registration through a bodypart regressor", Medical Imaging with Deep Learning, 2019.
    Abstract Url
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. 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
  91. J. Mordang and N. Karssemeijer, "Vessel segmentation in screening mammograms", Medical Imaging, 2015;9414:94140J.
    Abstract DOI Cited by ~3
  92. 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
  93. B. Bejnordi, G. Litjens, M. Hermsen, N. Karssemeijer and J. van der Laak, "A multi-scale superpixel classification approach for region of interest detection in whole slide histopathology images", Medical Imaging, 2015;9420:94200H.
    Abstract DOI
  94. 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
  95. 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
  96. 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
  97. 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
  98. 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
  99. 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
  100. 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
  101. 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
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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
  107. 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
  108. 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
  109. 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
  110. 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
  111. 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
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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
  123. 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
  124. 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
  125. 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
  126. 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
  127. 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
  128. 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
  129. 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
  130. R. Philipsen, P. Maduskar, L. Hogeweg and B. van Ginneken, "Normalization of Chest Radiographs", Medical Imaging, 2013;8670:86700G.
    Abstract DOI Cited by ~10
  131. 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
  132. 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
  133. 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
  134. 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
  135. 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
  136. 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
  137. 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
  138. 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
  139. 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
  140. 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
  141. 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
  142. 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
  143. 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
  144. 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
  145. 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
  146. 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
  147. 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
  148. 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
  149. 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
  150. 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
  151. 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
  152. 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
  153. 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
  154. 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
  155. 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
  156. 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
  157. 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
  158. 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
  159. 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
  160. 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
  161. 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
  162. 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
  163. 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
  164. 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
  165. 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
  166. 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
  167. 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
  168. 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
  169. 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
  170. 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
  171. 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
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. 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
  178. 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
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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
  184. 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
  185. 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
  186. 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
  187. 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
  188. 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
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. 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
  195. 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
  196. 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
  197. 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
  198. 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
  199. 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
  200. 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
  201. 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
  202. 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
  203. 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
  204. 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
  205. 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
  206. 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
  207. 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
  208. 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
  209. 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
  210. 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
  211. 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
  212. 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
  213. 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
  214. 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
  215. 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
  216. 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
  217. 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
  218. 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
  219. 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
  220. 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
  221. 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
  222. 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
  223. 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
  224. 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
  225. 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
  226. 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
  227. 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
  228. 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
  229. 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
  230. 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
  231. 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
  232. 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
  233. 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
  234. 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
  235. 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
  236. 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
  237. 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
  238. 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
  239. 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
  240. 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
  241. 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
  242. 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
  243. 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
  244. 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
  245. 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
  246. 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
  247. 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
  248. 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
  249. 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
  250. 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
  251. 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
  252. 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
  253. 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
  254. 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
  255. 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
  256. 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
  257. 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
  258. 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
  259. 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
  260. 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
  261. 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
  262. 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
  263. 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
  264. 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
  265. 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
  266. 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
  267. 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
  268. 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
  269. 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
  270. 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
  271. 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
  272. 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
  273. 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
  274. 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
  275. 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
  276. 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
  277. 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
  278. 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
  279. 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
  280. 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
  281. 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
  282. 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
  283. 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
  284. 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
  285. 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
  286. 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
  287. 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
  288. 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
  289. 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
  290. 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
  291. 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
  292. 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
  293. 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
  294. 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
  295. 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
  296. 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
  297. 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
  298. 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
  299. 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
  300. 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
  301. 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
  302. 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
  303. 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
  304. 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
  305. 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
  306. 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
  307. 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
  308. 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
  309. 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
  310. 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
  311. B. van Ginneken, "Towards a clinical chest workstation", Proceedings of VISIM, 2001.
    Abstract
  312. 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
  313. 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
  314. 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
  315. 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
  316. 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
  317. 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
  318. 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
  319. 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
  320. 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
  321. 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
  322. N. Karssemeijer, "Common database for research in mammographic image analysis", Medical Imaging, 1993;1905:542-543.
    Abstract DOI Cited by ~9
  323. N. Karssemeijer, "Recognition of clustered microcalcifications using a random field model", Medical Imaging, 1993;1905:776-786.
    Abstract DOI Cited by ~51
  324. 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. C. Mercan, M. Balkenhol, J. Laak and F. Ciompi, "Grading nuclear pleomorphism in breast cancer using deep learning", European Congress of Pathology, 2020.
    Abstract
  12. 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
  13. 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
  14. 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
  15. N. Khalili, N. Lessmann, E. Turk, M. Viergever, M. Benders and I. Išgum, "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
  16. 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
  17. 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
  18. S. van Velzen, N. Lessmann, M. Emaus, H. van den Bongard, H. Verkooijen and I. Išgum, "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
  19. 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
  20. 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
  21. 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
  22. 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
  23. S. van Velzen, J. Terry, B. de Vos, N. Lessmann, S. Nair, A. Correa, H. Verkooijen, J. Carr and I. Išgum, "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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. H. Pinckaers and G. Litjens, "Training convolutional neural networks with megapixel images", Medical Imaging with Deep Learning, 2018.
    Abstract arXiv
  33. 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
  34. F. Meijer, P. Willems, M. Meijs and R. Manniesing, "Color-mapping visualization of 4D-CTA in neurovascular disease", European Society of Neuroradiology, 2018.
    Abstract
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. B. van Ginneken, "Real-Life Artificial Intelligence Applications", Journal of the Belgian Society of Nephrology, 2018.
    Abstract DOI Cited by ~1
  44. 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
  45. B. van Ginneken, "Deep Machine Learning for Screening LDCT", Journal of Thoracic Oncology, 2018;13:S190.
    Abstract
  46. 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
  47. 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
  48. B. de Vos, N. Lessmann, P. de Jong, M. Viergever and I. Išgum, "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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. N. Lessmann, B. van Ginneken, P. de Jong, W. Veldhuis, M. Viergever and I. Išgum, "Deep learning analysis for automatic calcium scoring in routine chest CT", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  60. 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
  61. R. van Hamersvelt, M. Zreik, N. Lessmann, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Išgum, "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
  62. L. Stoilescu and H. Huisman, "Feasibility of multireferencetissue normalization of T2weighted prostate MRI", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  63. 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
  64. 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
  65. M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Išgum, "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
  66. 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
  67. 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
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. 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
  91. 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
  92. 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
  93. 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
  94. 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
  95. 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
  96. 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
  97. 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
  98. 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
  99. 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
  100. N. Lessmann, I. Išgum, 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
  101. 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
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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
  107. 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
  108. 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
  109. 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
  110. 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
  111. 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
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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
  123. 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
  124. 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
  125. 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
  126. 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
  127. 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
  128. 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
  129. 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
  130. 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
  131. 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
  132. 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
  133. 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
  134. 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
  135. 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
  136. 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
  137. 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
  138. 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
  139. 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
  140. 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
  141. 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
  142. 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
  143. 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
  144. 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
  145. 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
  146. 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
  147. 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
  148. 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
  149. 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
  150. 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
  151. 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
  152. 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
  153. 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
  154. 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
  155. 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
  156. 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
  157. 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
  158. 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
  159. 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
  160. 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
  161. 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
  162. 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
  163. 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
  164. 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
  165. 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
  166. 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
  167. 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
  168. 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
  169. 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
  170. 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
  171. 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
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. 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
  178. 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
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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
  184. 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
  185. 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
  186. 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
  187. 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
  188. 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
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. 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
  195. 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
  196. 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
  197. 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
  198. 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
  199. 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
  200. 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
  201. 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
  202. 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
  203. 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
  204. 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
  205. 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
  206. 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
  207. 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
  208. 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
  209. 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
  210. 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
  211. 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
  212. 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
  213. 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
  214. 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
  215. 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
  216. 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
  217. 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
  218. 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
  219. 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
  220. 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
  221. 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
  222. 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
  223. 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
  224. 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
  225. 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
  226. 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
  227. 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
  228. 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
  229. 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
  230. 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
  231. 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
  232. 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
  233. 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
  234. 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
  235. 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
  236. 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
  237. 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
  238. 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
  239. B. van Ginneken, M. Klik, E. van Rikxoort, H. Gietema, J. Peters and M. Prokop, "Computer-aided diagnosis for distinguishing benign perifissural opacities from other pulmonary nodules in computed tomography chest scans", Annual Meeting of the Radiological Society of North America, 2006:598.
    Abstract
  240. E. van Rikxoort, H. Gietema, M. Prokop and B. van Ginneken, "Fully automatic segmentation of pulmonary segments from computed tomography chest scans", Annual Meeting of the Radiological Society of North America, 2006.
    Abstract
  241. A. Schilham, B. van Ginneken, H. Gietema and M. Prokop, "Noise Filtering for Reliable Emphysema Quantification in Thin-slice Low-dose CT Images", Annual Meeting of the Radiological Society of North America, 2005.
    Abstract
  242. I. Išgum, A. Rutten, M. Prokop and B. van Ginneken, "Automated Calcium Scoring for Risk Assessment of Coronary Artery Disease", Annual Meeting of the Radiological Society of North America, 2005.
    Abstract
  243. B. van Ginneken, A. Schilham, H. Gietema and M. Prokop, "Automatic correction for the influence of inspiration on pulmonary emphysema quantification from multidetector CT scans", Annual Meeting of the Radiological Society of North America, 2005.
    Abstract
  244. A. Schilham and B. van Ginneken, "Computer-aided diagnosis as a second reader for nodule detection in chest radiographs versus single and double reading", European Congress of Radiology, 2005:205.
    Abstract Cited by ~3
  245. B. van Ginneken, I. Sluimer, M. Prokop and I. Hartmann, "Automatic detection of the presence of hyperlucencies, fibrosis, ground-glass, consolidations, and focal abnormalities in high resolution CT (HRCT) lung data", Annual Meeting of the Radiological Society of North America, 2005:308.
    Abstract
  246. A. Schilham, B. van Ginneken and M. Loog, "Influence of the Number of Training Samples for Computer-Aided Detection of Lung Nodules in Chest Radiographs", Annual Meeting of the Radiological Society of North America, 2003:523-524.
    Abstract Cited by ~1
  247. I. Sluimer, P. van Waes and B. van Ginneken, "Texture analysis for automated classification of lung HRCT images", Annual Meeting of the Radiological Society of North America, 2003:647.
    Abstract
  248. M. Niemeijer, B. van Ginneken and M. Abràmoff, "Automatic Detection and Classification of Microaneurysms and Small Hemors in Colour Fundus Photographs", European Journal of Ophthalmology, 2003;13(2):226.
    Abstract
  249. T. van Walsum, B. van Ginneken, J. Staal, E. Vonken and M. Viergever, "ImageXplorer (iX), an integrated Windows NT programming environment for rapid development of medical imaging applications", European Congress of Radiology, 2000:166.
    Abstract

PhD theses

  1. A. Schreuder, "Lung cancer screening: use the scan to decide who to scan when", 2021.
    Abstract Url
  2. D. Tellez, "Advancing computational pathology with deep learning: from patches to gigapixel image-level classification", 2021.
    Abstract Url
  3. S. van Riel, "Malignancy risk estimation of screen-detected pulmonary nodules", 2020.
    Abstract Url
  4. M. Meijs, "Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA", 2020.
    Abstract
  5. M. Balkenhol, "Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence", 2020.
    Abstract Url
  6. E. Smit, "Feasibility of a single-acquisition CT stroke protocol", 2019.
    Abstract
  7. C. Balta, "Objective image quality assessment in X-ray breast imaging", 2019.
    Abstract
  8. A. Ruiz, "Artificial intelligence & tomosynthesis for breast cancer detection", 2019.
    Abstract Url
  9. M. Dalmis, "Automated Analysis of Breast MRI From traditional methods into deep learning", 2019.
    Abstract Url
  10. R. Philipsen, "Automated chest radiography reading. Improvements, validation, and cost-effectiveness analysis", 2019.
    Abstract Url
  11. T. van den Heuvel, "Automated low-cost ultrasound: improving antenatal care in resource-limited settings", 2019.
    Abstract Url
  12. L. Estrella, "Quantification of COPD biomarkers in thoracic CT scans", 2019.
    Abstract Url
  13. F. Venhuizen, "Machine Learning for Quantification of Age-Related Macular Degeneration Imaging Biomarkers in Optical Coherence Tomography", 2019.
    Abstract
  14. J. van Zelst, "Automated 3D breast ultrasound Advances in breast cancer detection, diagnosis and screening", 2019.
    Abstract
  15. N. Lessmann, "Machine Learning based quantification of extrapulmonary diseases in chest CT", 2019.
    Abstract Url
  16. J. Mordang, "Towards an independent observer of screening mammograms: detection of calcifications", 2018.
    Abstract Url
  17. T. Kooi, "Computer aided diagnosis of breast cancer in mammography using deep neural networks", 2018.
    Abstract Url
  18. K. Chung, "Malignancy risk estimation of subsolid nodules", 2018.
    Abstract Url
  19. A. Setio, "Computer-aided diagnosis in thoracic CT scans for lung cancer screening", 2018.
    Abstract Url
  20. M. Ghafoorian, "Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers", 2018.
    Abstract Url
  21. K. Holland, "Breast density measurement for personalised screening", 2017.
    Abstract Url
  22. B. Bejnordi, "Histopathological diagnosis of breast cancer using machine learning", 2017.
    Abstract Url
  23. T. Kockelkorn, "Interactive texture analysis in chest CT Scans", 2017.
    Abstract Url
  24. J. Charbonnier, "Segmentation & quantification of airways and blood vessels in chest CT", 2017.
    Abstract Url
  25. N. Moriakov, "Entropy and Kolmogorov complexity", 2016:122.
    Abstract DOI
  26. W. van de Ven, "MRI guided TRUS prostate biopsy - a viable alternative?", 2016.
    Abstract Url
  27. M. van Grinsven, "Automated analysis of retinal images for detection of age-related macular degeneration and diabetic retinopathy", 2016.
    Abstract Url
  28. B. Lassen-Schmidt, "Automatic and Interactive Segmentation of Pulmonary Lobes and Nodules in Chest CT Images", 2015.
    Abstract Url
  29. J. Melendez, "Improving computer-aided detection systems through advanced pattern recognition techniques", 2015.
    Abstract Url
  30. G. Litjens, "Computerized detection of cancer in multi-parametric prostate MRI", 2015.
    Abstract Url
  31. A. Gubern-Mérida, "Automated Analysis of Magnetic Resonance Imaging of the Breast", 2015.
    Abstract Url
  32. S. Schalekamp, "Advanced processing in chest radiography: impact on observer performance", 2015.
    Abstract Url
  33. P. Maduskar, "Automated analysis of tuberculosis in chest radiographs", 2015.
    Abstract Url
  34. C. Jacobs, "Automatic detection and characterization of pulmonary nodules in thoracic CT images", 2015.
    Abstract Url
  35. T. Tan, "Automated 3D Breast Ultrasound Image Analysis", 2014.
    Abstract Url
  36. G. van Schie, "Image Computing Methods for Accurate and Efficient Interpretation of Digital Breast Tomosynthesis", 2014.
    Abstract Url
  37. S. Muenzing, "Learning-based approaches to deformable image registration", 2014.
    Abstract Url
  38. E. Scholten, "SubSolid Nodules in lung cancer screening", 2014.
    Abstract Url
  39. L. Hogeweg, "Automatic detection of tuberculosis in chest radiographs", 2013.
    Abstract Url
  40. R. Wittenberg, "Computer-Assisted Detection of Acute Pulmonary Embolism", 2012.
    Abstract Url
  41. D. de Boo, "Advances in digital chest radiography: impact on reader performance", 2012.
    Abstract Url
  42. M. Kallenberg, "Quantitative Analysis of Breast Images", 2012.
    Abstract Url
  43. R. Hupse, "Detection of malignant masses in breast cancer screening by computer assisted decision making", 2012.
    Abstract Url
  44. F. Ciompi, "Multi-Class Learning for Vessel Characterization in Intravascular Ultrasound", 2012.
    Abstract Url
  45. K. Murphy, "Development and evaluation of automated image analysis techniques in thoracic CT", 2011.
    Abstract Url
  46. M. Adriaensen, "Imaging in tuberous sclerosis complex", 2011.
    Abstract Url
  47. M. Stoutjesdijk, "Automated analysis of contrast enhancement in magnetic resonance imaging of the breast", 2011.
    Abstract Url
  48. P. Vos, "Computer Aided Diagnosis of Prostate Cancer with Magnetic Resonance Imaging", 2011.
    Abstract Url
  49. M. Samulski, "Computer Aided Detection as a Decision Aid in Medical Screening", 2011.
    Abstract Url
  50. A. Mendrik, "Noise Reduction and Vascular Enhancement in 4D CT Perfusion Scans", 2010.
    Abstract Url
  51. B. de Hoop, "Lung Cancer Screening: Radiological Aspects", 2010.
    Abstract Url
  52. E. van Rikxoort, "Segmentation of anatomical structures in chest CT scans", 2009.
    Abstract Url Cited by ~3
  53. Y. Arzhaeva, "Computer-aided detection and quantification of interstitial lung disease from computed tomography and chest radiography", 2009.
    Abstract Url
  54. S. Lafebre, "From cosmic particle to radio pulse", 2008.
    Abstract Url
  55. I. Išgum, "Computer-aided detection and quantification of arterial calcifications with CT", 2007.
    Abstract Url Cited by ~3
  56. S. van Engeland, "Detection of mass lesions in mammograms by using multiple views", 2006.
    Abstract Url
  57. S. Timp, "Analysis of Temporal Mammogram Pairs to Detect and Characterise Mass Lesions", 2006.
    Abstract Url
  58. M. Niemeijer, "Automatic detection of diabetic retinopathy in digital fundus photographs", 2006.
    Abstract Url Cited by ~16
  59. I. Sluimer, "Automated image analysis of the pathological lung in CT", 2005.
    Abstract Url
  60. J. Staal, "Segmentation of elongated structures in medical images", 2004.
    Abstract Url Cited by ~5
  61. M. Loog, "Supervised Dimensionality Reduction and Contextual Pattern Recognition in Medical Image Processing", 2004.
    Abstract Url
  62. B. van Ginneken, "Computer-aided diagnosis in chest radiography", 2001.
    Abstract Url Cited by ~51
  63. W. Veldkamp, "Computer Aided Characterization of Microcalcification Clusters in Mammograms", 2000.
    Abstract Url
  64. G. te Brake, "Computer Aided Detection of Masses in Digital Mammograms", 2000.
    Abstract Url Cited by ~9
  65. H. Huisman, "In vivo ultrasonic tissue characterization of liver metastases", 1998.
    Abstract Url Cited by ~7
  66. N. Karssemeijer, "Interpretation of Medical Images by Model Guided Analysis", 1989.
    Abstract Url Cited by ~1

Master theses

  1. L. van Eekelen, "Deep learning-based analysis of bone marrow histopathology images", 2020.
    Abstract
  2. T. de Boer, "A feasibility study for Deep Learning Image Guided Guidewire Tracking for Image-guided Interventions", 2020.
    Abstract
  3. R. Kluge, "Pneumothorax Detection On Chest Radiographs: A Comparative Analysis Of Public Datasets, Deep Learning Architectures, And Domain Adaptation Via Iterative Self-Training", 2020.
    Abstract
  4. T. Payer, "AI-assisted PD-L1 scoring in non-small-cell lung cancer", 2020.
    Abstract
  5. J. Spronck, "Multi conditional lung nodule synthesis for improved nodule malignancy classification in Computed Tomography scans", 2020.
    Abstract Url
  6. M. van Rijthoven, "Cancer research in digital pathology using convolutional neural networks", 2019.
    Abstract
  7. P. Sonsma, "Lymphocyte detection in hematoxylin-eosin stained histopathological images of breast cancer", 2019.
    Abstract
  8. D. Geijs, "Tumor segmentation in fluorescent TNBC immunohistochemical multiplex images using deep learning", 2019.
    Abstract
  9. K. Dercksen, "Prostate Cancer Classification and Label Scarcity", 2019.
    Abstract
  10. J. Winkens, "Out-of-distribution detection for computational pathology with multi-head ensembles", 2019.
    Abstract
  11. M. Kok, "Metastases Detection in Lymph Nodes using Transfer Learning", 2019.
    Abstract
  12. G. Litjens, "Pharmacokinetic modeling in breast cancer MRI", 2009.
    Abstract

Other publications

  1. J. Petersen, R. Estépar, A. Schmidt-Richberg, S. Gerard, B. Lassen-Schmidt, C. Jacobs, R. Beichel and K. Mori, "Thoracic Image Analysis", 2020;12502.
    Abstract DOI
  2. D. Stoyanov, Z. Taylor, B. Kainz, G. Maicas, R. Beichel, A. Martel, L. Maier-Hein, B. Kanwal, T. Vercauteren, O. Ozan, G. Carneiro, A. Bradley, J. Nascimento, H. Min, M. Brown, C. Jacobs, B. Lassen-Schmidt, K. Mori, J. Petersen, R. Estepar, A. Schmidt-Richberg and C. Veiga, "Image Analysis for Moving Organ, Breast and Thoracic Images", 2018;11040.
    Abstract DOI
  3. R. Beichel, K. Farahani, C. Jacobs, S. Kabus, A. Kiraly, J. Kuhnigk, J. McClelland, K. Mori, J. Petersen and S. Rit, "The Sixth International Workshop on Pulmonary Image Analysis", 2016.
    Abstract Url
  4. R. Beichel, M. de Bruijne, S. Kabus, A. Kiraly, J. Kuhnigk, J. McClelland, T. Kitasaka, E. van Rikxoort and S. Rit, "The Fifth International Workshop on Pulmonary Image Analysis", 2013.
    Abstract Url
  5. A. Madabhushi, J. Dowling, H. Huisman and D. Barratt, "Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions", 2011;6963.
    Abstract DOI
  6. R. Beichel, M. de Bruijne, B. van Ginneken, S. Kabus, A. Kiraly, J. Kuhnigk, J. McClelland, K. Mori, E. van Rikxoort and S. Rit, "The Fourth International Workshop on Pulmonary Image Analysis", 2011.
    Abstract Url
  7. M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J. Kuhnigk, C. Lorenz, K. Mori and J. Reinhardt, "The Third International Workshop on Pulmonary Image Analysis", 2010.
    Abstract Url
  8. N. Karssemeijer and P. Snoeren, "Image Processing", Digital Mammography, 2010:69-83.
    Abstract DOI Cited by ~6
  9. B. van Ginneken, K. Murphy, T. Heimann, V. Pekar and X. Deng, "Medical Image Analysis for the Clinic: a Grand Challenge", 2010.
    Abstract Url
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