Publications

2020

Papers in international journals

  1. 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 Algorithm Cited by ~23
  2. 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 Download Cited by ~7
  3. P. den Exter, L. Kroft, C. Gonsalves, G. Le Gal, C. Schaefer-Prokop, M. Carrier, M. Huisman and F. Klok, "Establishing diagnostic criteria and treatment of subsegmental pulmonary embolism: A Delphi analysis of experts", Research and Practice in Thrombosis and Haemostasis, 2020;4:1251-1261.
    Abstract DOI PMID Cited by ~14
  4. 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 Cited by ~19
  5. B. van Ginneken, "The Potential of Artificial Intelligence to Analyze Chest Radiographs for Signs of COVID-19 Pneumonia", Radiology, 2020:204238.
    Abstract DOI PMID Cited by ~12
  6. 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 Cited by ~31
  7. 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 Cited by ~25
  8. 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 Cited by ~5
  9. T. Hebar, Z. Snoj, L. Sconfienza, F. Vanhoenacker, M. Shahabpour, V. Salapura, A. Isaac, E. Drakonaki, Y. Vasilev, J. Drape, M. Adriaensen, K. Friedrich, G. Guglielmi, A. Vieira, H. Sanal, L. Kerttula, J. Hellund, J. Nagy, A. Heuck, M. Rutten, M. Tzalonikou, U. Hansen, J. Niemunis-Sawicka, F. Becce, E. Silvestri, E. Juan and K. Wörtler, "Present Status of Musculoskeletal Radiology in Europe: International Survey by the European Society of Musculoskeletal Radiology", Seminars in Musculoskeletal Radiology, 2020;24:323-330.
    Abstract DOI PMID Cited by ~12
  10. 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 Cited by ~14
  11. 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 Cited by ~16
  12. 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 ~84
  13. T. Kootstra, J. Teuwen, J. Goudsmit, T. Nijboer, M. Dodd and S. Van der Stigchel, "Machine learning-based classification of viewing behavior using a wide range of statistical oculomotor features", Journal of Vision, 2020;20(9):1.
    Abstract DOI PMID Cited by ~7
  14. 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 Download Cited by ~47
  15. 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 Cited by ~69
  16. 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 Cited by ~72
  17. 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 Cited by ~101
  18. 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 Cited by ~20
  19. W. Sanderink, L. Strobbe, P. Bult, M. Schlooz-Vries, S. Lardenoije, D. Venderink, I. Sechopoulos, N. Karssemeijer, W. Vreuls and R. Mann, "Minimally invasive breast cancer excision using the breast lesion excision system under ultrasound guidance", Breast Cancer Research and Treatment, 2020;184:37-43.
    Abstract DOI PMID Cited by ~5
  20. 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 Algorithm Download Cited by ~100
  21. 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 Download
  22. J. Terheyden, F. Holz, S. Schmitz-Valckenberg, A. Lüning, M. Schmid, G. Rubin, H. Dunbar, A. Tufail, D. Crabb, A. Binns, C. Sánchez, C. Hoyng, P. Margaron, N. Zakaria, M. Durbin, U. Luhmann, P. Zamiri, J. Cunha-Vaz, C. Martinho, S. Leal, R. Finger, P. Basile, C. Behning, M. Berger, A. Binns, M. Böttger, C. Bouchet, J. Brazier, T. Butt, C. Carapezzi, J. Carlton, A. Charil, R. Coimbra, S. Nunes, D. Crabb, J. Cunha-Vaz, H. Dunbar, M. Durbin, R. Finger, F. Holz, C. Hoyng, J. Krätzschmar, S. Leal, U. Luhmann, A. Lüning, P. Margaron, C. Martinho, B. Melício, S. Mohand-Saïd, D. Rowen, G. Rubin, J. Sahel, C. Sánchez, D. Sanches Fernandes, M. Schmid, S. Schmitz-Valckenberg, A. Skelly, L. Stöhr, D. Taylor, J. Terheyden, A. Tufail, L. Vieweg, L. Wintergerst, C. Wojek, N. Zakaria, P. Zamiri and O. behalf of the consortium, "Clinical study protocol for a low-interventional study in intermediate age-related macular degeneration developing novel clinical endpoints for interventional clinical trials with a regulatory and patient access intention--MACUSTAR", Trials, 2020;21.
    Abstract DOI PMID Cited by ~20
  23. W. Sanderink, M. Caballo, L. Strobbe, P. Bult, W. Vreuls, D. Venderink, I. Sechopoulos, N. Karssemeijer and R. Mann, "Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers", European Journal of Surgical Oncology, 2020;46:1463-1470.
    Abstract DOI PMID Cited by ~4
  24. I. Sechopoulos, J. Teuwen and R. Mann, "Artificial Intelligence for Breast Cancer Detection in Mammography: state of the art", Seminars in Cancer Biology, 2020.
    Abstract DOI PMID Cited by ~117
  25. M. Omar, M. Roobol, M. Ribal, T. Abbott, P. Agapow, S. Araujo, A. Asiimwe, C. Auffray, I. Balaur, K. Beyer, C. Bernini, A. Bjartell, A. Briganti, J. Butler-Ransohoff, R. Campi, M. Cavelaars, B. De Meulder, Z. Devecseri, M. Voss, K. Dimitropoulos, S. Evans-Axelsson, B. Franks, L. Fullwood, D. Horgan, E. Smith, A. Kiran, K. Kivinummi, M. Lambrecht, D. Lancet, P. Lindgren, S. MacLennan, S. MacLennan, M. Nogueira, F. Moen, M. Moinat, K. Papineni, C. Reich, K. Reiche, S. Rogiers, C. Sartini, K. van Bochove, F. van Diggelen, M. Van Hemelrijck, H. Van Poppel, J. Zong, J. N'Dow, E. Andersson, H. Arala, A. Auvinen, C. Bangma, D. Burke, A. Cardone, J. Casariego, G. Cuperus, S. Dabestani, F. Esperto, N. Fossati, A. Fridhammar, G. Gandaglia, D. Tandefelt, F. Horn, J. Huber, J. Hugosson, H. Huisman, A. Josefsson, O. Kilkku, M. Kreuz, M. Lardas, J. Lawson, F. Lefresne, S. Lejeune, E. Longden-Chapman, G. McVie, L. Moris, N. Mottet, T. Murtola, C. Nicholls, K. Pang, K. Pascoe, M. Picozzi, K. Plass, P. Pohjanjousi, M. Reaney, S. Remmers, P. Robinson, J. Schalken, M. Schravendeel, T. Seisen, A. Servan, K. Shiranov, R. Snijder, C. Steinbeisser, N. Taibi, K. Talala, D. Tilki, T. den Van Broeck, Z. Vassilev, O. Voima, E. Vradi, R. Waldeck, W. Weistra, P. Willemse, M. Wirth, R. Wolfinger, N. Kermani and T. Consortium, "Introducing PIONEER: a project to harness big data in prostate cancer research", Nature Reviews Urology, 2020;17:351-362.
    Abstract DOI PMID Cited by ~19
  26. 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 Cited by ~258
  27. 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 Download Cited by ~105
  28. 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 Download Cited by ~93
  29. 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 ~154
  30. O. Hamer, B. Rehbock and C. Schaefer-Prokop, "Idiopathische pulmonale Fibrose", Der Radiologe, 2020;60:549-562.
    Abstract DOI PMID Cited by ~1
  31. 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 ~597
  32. 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", Scientific Reports, 2020;10(1):6276.
    Abstract DOI PMID Cited by ~13
  33. G. Rubin, C. Ryerson, L. Haramati, N. Sverzellati, J. Kanne, S. Raoof, N. Schluger, A. Volpi, J. Yim, I. Martin, D. Anderson, C. Kong, T. Altes, A. Bush, S. Desai, J. Goldin, J. Goo, M. Humbert, Y. Inoue, H. Kauczor, F. Luo, P. Mazzone, M. Prokop, M. Remy-Jardin, L. Richeldi, C. Schaefer-Prokop, N. Tomiyama, A. Wells and A. Leung, "The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic", Chest, 2020;158:106-116.
    Abstract DOI PMID Cited by ~1000
  34. 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", Scientific Reports, 2020;10:5492.
    Abstract DOI PMID arXiv Cited by ~113
  35. 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 Cited by ~6
  36. 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 ~42
  37. 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 Download Cited by ~23
  38. I. Olaciregui-Ruiz, I. Torres-Xirau, J. Teuwen, U. van der Heide and A. Mans, "A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system", Physica Medica, 2020;71:124-131.
    Abstract DOI PMID Cited by ~11
  39. H. Kauczor, A. Baird, T. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. Čepicka, A. Comanescu, S. Courad, A. Devaraj, V. Jespersen, S. Morozov, I. Agmon, N. Peled, P. Powell, H. Prosch, S. Ravara, J. Rawlinson, M. Revel, M. Silca, A. Snoeckx, B. van Ginneken, J. van Meerbeeck, C. Vardavas, O. von Stackelberg, M. Gaga, O. behalf of the of (ESR) and T. (ERS), "ESR/ERS statement paper on lung cancer screening", European Radiology, 2020;30:3277-3294.
    Abstract DOI PMID Cited by ~132
  40. H. Kauczor, A. Baird, T. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. Čepicka, A. Comanescu, S. Couraud, A. Devaraj, V. Jespersen, S. Morozov, I. Nardi Agmon, N. Peled, P. Powell, H. Prosch, S. Ravara, J. Rawlinson, M. Revel, M. Silva, A. Snoeckx, B. van Ginneken, J. van Meerbeeck, C. Vardavas, O. von Stackelberg, M. Gaga, E. of (ESR) and T. (ERS), "ESR/ERS statement paper on lung cancer screening", European Respiratory Journal, 2020;55(2):1900506.
    Abstract DOI PMID Cited by ~119
  41. M. Sieren, F. Brenne, A. Hering, H. Kienapfel, N. Gebauer, T. Oechtering, A. Fürschke, F. Wegner, E. Stahlberg, S. Heldmann, J. Barkhausen and A. Frydrychowicz, "Rapid study assessment in follow-up whole-body computed tomography in patients with multiple myeloma using a dedicated bone subtraction software", European Radiology, 2020;30:3198-3209.
    Abstract DOI PMID
  42. S. van Velzen, N. Lessmann, B. Velthuis, I. Bank, D. van den Bongard, T. Leiner, P. de Jong, W. Veldhuis, A. Correa, J. Terry, J. Carr, M. Viergever, H. Verkooijen and I. Išgum, "Deep learning for automatic calcium scoring in CT: Validation using multiple cardiac CT and chest CT protocols", Radiology, 2020;295(1):66-79.
    Abstract DOI PMID Cited by ~136
  43. H. de Koning, C. van der Aalst, P. de Jong, E. Scholten, K. Nackaerts, M. Heuvelmans, J. Lammers, C. Weenink, U. Yousaf-Khan, N. Horeweg, S. van 't Westeinde, M. Prokop, W. Mali, F. Mohamed Hoesein, P. van Ooijen, J. Aerts, M. den Bakker, E. Thunnissen, J. Verschakelen, R. Vliegenthart, J. Walter, K. Ten Haaf, H. Groen and M. Oudkerk, "Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial", New England Journal of Medicine, 2020;382(6):503-513.
    Abstract DOI PMID Cited by ~105
  44. T. Boers, Y. Hu, E. Gibson, D. Barratt, E. Bonmati, J. Krdzalic, F. van der Heijden, J. Hermans and H. Huisman, "Interactive 3D U-net for the Segmentation of the Pancreas in Computed Tomography Scans", Physics in Medicine and Biology, 2020;65(6):065002.
    Abstract DOI PMID Download Cited by ~29
  45. N. Mahomed, B. van Ginneken, R. Philipsen, J. Melendez, D. Moore, H. Moodley, T. Sewchuran, D. Mathew and S. Madhi, "Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children", Pediatric Radiology, 2020;50(4):482-491.
    Abstract DOI PMID Download Cited by ~42
  46. W. Bulten, H. Pinckaers, H. van Boven, R. Vink, T. de Bel, B. van Ginneken, J. van der Laak, C. de Hulsbergen-van Kaa and G. Litjens, "Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study", Lancet Oncology, 2020;21(2):233-241.
    Abstract DOI PMID arXiv Algorithm Download Cited by ~459
  47. F. Ayatollahi, S. Shokouhi and J. Teuwen, "Differentiating Benign and Malignant Mass and non-Mass Lesions in Breast DCE-MRI using Normalized Frequency-based Features", International Journal of Computer Assisted Radiology and Surgery, 2020;15(2):297-307.
    Abstract DOI PMID Cited by ~6
  48. C. González-Gonzalo, V. Sánchez-Gutiérrez, P. Hernández-Martínez, I. Contreras, Y. Lechanteur, A. Domanian, B. van Ginneken and C. Sánchez, "Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration", Acta Ophthalmologica, 2020;98(4):368-377.
    Abstract DOI PMID Cited by ~69
  49. M. Dekker, F. Waissi, I. Bank, N. Lessmann, I. Išgum, B. Velthuis, A. Scholtens, G. Leenders, G. Pasterkamp, D. de Kleijn, L. Timmers and A. Mosterd, "Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease", International Journal of Cardiology: Heart and Vasculature, 2020;26:100434.
    Abstract DOI PMID Cited by ~14
  50. C. Celeng, R. Takx, N. Lessmann, P. Maurovich-Horvat, T. Leiner, I. Išgum and P. de Jong, "The association between marital status, coronary computed tomography imaging biomarkers, and mortality in a lung cancer screening population", Journal of Thoracic Imaging, 2020;35:204-209.
    Abstract DOI PMID Cited by ~8
  51. S. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing, "Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-contrast CT from Spatiotemporal 4D CT", IEEE Transactions on Medical Imaging, 2020;39(4):985-996.
    Abstract DOI PMID Download Cited by ~18
  52. J. van Zelst, T. Tan, R. Mann and N. Karssemeijer, "Validation of radiologists' findings by computer-aided detection (CAD) software in breast cancer detection with automated 3D breast ultrasound: a concept study in implementation of artificial intelligence software", Acta Radiologica, 2020;61(3):312-320.
    Abstract DOI PMID Cited by ~16
  53. E. Thee, D. Luttikhuizen, H. Lemij, F. Verbraak, C. Sánchez and C. Klaver, "Artificial intelligence for eye care", Nederlands Tijdschrift voor Geneeskunde, 2020.
    Abstract Url
  54. E. Sogancioglu, K. Murphy, E. Calli, E. Scholten, S. Schalekamp and B. Van Ginneken, "Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification", IEEE Access, 2020;8:94631-94642.
    Abstract DOI Cited by ~27
  55. S. Kazeminia, C. Baur, A. Kuijper, B. van Ginneken, N. Navab, S. Albarqouni and A. Mukhopadhyay, "GANs for Medical Image Analysis", Artificial Intelligence in Medicine, 2020;109:101938.
    Abstract DOI arXiv Cited by ~295
  56. M. Meijs, S. Pegge, M. Vos, A. Patel, S. van de Leemput, K. Koschmieder, M. Prokop, F. Meijer and R. Manniesing, "Cerebral Artery and Vein Segmentation in Fourdimensional CT Angiography Using Convolutional Neural Networks", Radiology: Artificial Intelligence, 2020;2(4):e190178.
    Abstract DOI Cited by ~9
  57. A. Schreuder and C. Schaefer-Prokop, "Perifissural nodules: ready for application into lung cancer CT screening?", Annals of Translational Medicine, 2020.
    Abstract DOI
  58. J. Goudsmit and J. Teuwen, "Tussen data en theorie", Tijdschrift voor Toezicht, 2020;11(1):48-53.
    Abstract DOI

Preprints

  1. Y. Beauferris, J. Teuwen, D. Karkalousos, N. Moriakov, M. Caan, G. Yiasemis, L. Rodrigues, A. Lopes, H. Pedrini, L. Rittner, M. Dannecker, V. Studenyak, F. Gröger, D. Vyas, S. Faghih-Roohi, A. Jethi, J. Raju, M. Sivaprakasam, M. Lasby, N. Nogovitsyn, W. Loos, R. Frayne and R. Souza, "Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations", arXiv:2011.07952, 2020.
    Abstract DOI arXiv Cited by ~7
  2. 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
  3. M. Muckley, B. Riemenschneider, A. Radmanesh, S. Kim, G. Jeong, J. Ko, Y. Jun, H. Shin, D. Hwang, M. Mostapha, S. Arberet, D. Nickel, Z. Ramzi, P. Ciuciu, J. Starck, J. Teuwen, D. Karkalousos, C. Zhang, A. Sriram, Z. Huang, N. Yakubova, Y. Lui and F. Knoll, "Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction", arXiv:2012.06318, 2020.
    Abstract DOI arXiv Cited by ~43
  4. P. Muller, B. Liefers, T. Treis, F. Gomes Rodrigues, A. Olvera-Barrios, B. Paul, N. Dhingra, A. Lotery, C. Bailey, P. Taylor, C. Sánchez and A. Tufail, "Reliability of retinal pathology quantification in age-related macular degeneration: Implications for clinical trials and machine learning applications", medrxiv, 2020.
    Abstract DOI Cited by ~13
  5. 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 Cited by ~406
  6. C. Mercan, M. Balkenhol, R. Salgado, M. Sherman, P. Vielh, W. Vreuls, A. Polonia, H. Horlings, W. Weichert, J. Carter, P. Bult, M. Christgen, C. Denkert, K. van de Vijver, J. van der Laak and F. Ciompi, "Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer", arXiv:2012.04974, 2020.
    Abstract DOI arXiv Cited by ~1
  7. 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 Cited by ~31
  8. 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", arXiv:2006.06356, 2020.
    Abstract DOI arXiv Cited by ~4
  9. A. Sekuboyina, M. Husseini, A. Bayat, M. Löffler, H. Liebl, H. Li, G. Tetteh, J. Kukačka, C. Payer, D. Stern, M. Urschler, M. Chen, D. Cheng, N. Lessmann, Y. Hu, T. Wang, D. Yang, D. Xu, F. Ambellan, T. Amiranashvili, M. Ehlke, H. Lamecker, S. Lehnert, M. Lirio, N. de Olaguer, H. Ramm, M. Sahu, A. Tack, S. Zachow, T. Jiang, X. Ma, C. Angerman, X. Wang, K. Brown, A. Kirszenberg, 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. Huynh, N. Boutry, R. Jakubicek, J. Chmelik, S. Mulay, M. Sivaprakasam, J. Paetzold, S. Shit, I. Ezhov, B. Wiestler, B. Glocker, A. Valentinitsch, M. Rempfler, B. Menze and J. Kirschke, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images", arXiv:2001.09193, 2020.
    Abstract DOI arXiv Cited by ~33

Papers in conference proceedings

  1. K. Faryna, K. Koschmieder, M. Paul, T. van den Heuvel, A. van der Eerden, R. Manniesing and B. van Ginneken, "Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation", Medical Imaging Meets NeurIPS Workshop - 34th Conference on Neural Information Processing Systems (NeurIPS), 2020.
    Abstract arXiv Cited by ~2
  2. 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 Cited by ~4
  3. 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 Cited by ~1
  4. 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 Cited by ~1
  5. 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
  6. 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 Cited by ~4
  7. 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 Cited by ~26
  8. 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 Cited by ~5
  9. K. Faryna, F. Tushar, V. D'Anniballe, R. Hou, G. Rubin and J. Lo, "Attention-guided classification of abnormalities in semi-structured computed tomography reports", Medical Imaging, 2020;11314:397 - 403.
    Abstract DOI
  10. E. García, Y. Diez, A. Oliver, N. Karssemeijer, J. Martí, R. Martí and O. Diaz, "Evaluation of elastic parameters for breast compression using a MRI-mammography registration approach", 15th International Workshop on Breast Imaging (IWBI2020), 2020.
    Abstract DOI
  11. 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 Cited by ~24
  12. N. Moriakov, J. Adler and J. Teuwen, "Kernel of CycleGAN as a principal homogeneous space", International Conference on Learning Representations, 2020.
    Abstract Url Cited by ~10
  13. C. Balta, A. Rodriguez-Ruiz, C. Mieskes, N. Karssemeijer and S. Heywang-Köbrunner, "Going from double to single reading for screening exams labeled as likely normal by AI: what is the impact?", 15th International Workshop on Breast Imaging (IWBI2020), 2020.
    Abstract DOI Cited by ~14
  14. 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
  15. 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 Cited by ~20
  16. 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 Cited by ~1
  17. 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 Cited by ~3
  18. 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 Cited by ~6
  19. 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 Cited by ~35
  20. 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

Abstracts

  1. 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
  2. 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
  3. L. Studer, J. Bokhorst, I. Zlobec, A. Lugli, A. Fischer, F. Ciompi, J. van der Laak, I. Nagtegaal and H. Dawson, "Validation of computer-assisted tumour-bud and T-cell detection in pT1 colorectal cancer", European Congress of pathology, 2020.
    Abstract
  4. 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
  5. D. Grob, S. Schalekamp, L. Oostveen, W. van der Woude, C. Jacobs, M. Prokop, I. Sechopoulos and M. Brink, "Pulmonary nodule growth: can follow-up be shortened with a high-end or an ultra-high-resolution CT scanner?", European Congress of Radiology, 2020.
    Abstract
  6. 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
  7. C. Mercan, M. Balkenhol, J. Laak and F. Ciompi, "Grading nuclear pleomorphism in breast cancer using deep learning", European Congress of Pathology, 2020.
    Abstract
  8. K. van Leeuwen, S. Schalekamp, M. Rutten, B. van Ginneken and M. de Rooij, "Scientific Evidence for 100 Commercially Available Artificial Intelligence Tools for Radiology: A Systematic Review", Annual Meeting of the Radiological Society of North America, 2020.
    Abstract
  9. 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
  10. T. Haddad, J. Bokhorst, L. van den Dobbelsteen, F. Simmer, J. van der Laak and I. Nagtegaal, "Characterisation of the tumour-host interface as a prognostic factor through deep learning systems", United European Gastroenterology Journal, 2020.
    Abstract
  11. 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 Cited by ~2
  12. M. Balkenhol, P. Bult, D. Tellez, W. Vreuls, P. Clahsen, F. Ciompi and J. der Laak, "Deep learning enables fully automated mitotic density assessment in breast cancer histopathology", European Journal of Cancer, 2020.
    Abstract
  13. 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
  14. 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
  15. 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

PhD theses

  1. M. Meijs, "Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA", PhD thesis, 2020.
    Abstract Url
  2. M. Balkenhol, "Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence", PhD thesis, 2020.
    Abstract Url
  3. S. van Riel, "Malignancy risk estimation of screen-detected pulmonary nodules", PhD thesis, 2020.
    Abstract Url

Master theses

  1. K. Faryna, "Brain MRI synthesis via pathology factorization and adversarial cycle-consistent learning for data augmentation", Master thesis, 2020.
    Abstract
  2. I. Slootweg, "Patient variables related to false predictions of deep-learning assisted prostate cancer detection in MRI", Master thesis, 2020.
    Abstract
  3. T. de Boer, "A feasibility study for Deep Learning Image Guided Guidewire Tracking for Image-guided Interventions", Master thesis, 2020.
    Abstract
  4. A. Saha, M. Hosseinzadeh and H. Huisman, "Computer-Aided Detection of Clinically Significant Prostate Cancer in mpMRI", Master thesis, 2020.
    Abstract Url
  5. T. Payer, "AI-assisted PD-L1 scoring in non-small-cell lung cancer", Master thesis, 2020.
    Abstract
  6. R. Kluge, "Combining AI with Radiologists: exploring the possibilities in implementation of Computer-Aided Detection", Master thesis, 2020.
    Abstract
  7. J. Spronck, "Multi conditional lung nodule synthesis for improved nodule malignancy classification in Computed Tomography scans", Master thesis, 2020.
    Abstract Url
  8. M. Schilpzand, "Automatic Placenta Localisation from Ultrasound Imaging in a Resource-Limited Setting", Master thesis, 2020.
    Abstract
  9. L. van Eekelen, "Deep learning-based analysis of bone marrow histopathology images", Master thesis, 2020.
    Abstract
  10. T. van den Hout, "Automatic muscle and fat segmentation in 3D abdominal CT images for body composition assessment", Master thesis, 2020.
    Abstract

Other publications

  1. J. Petersen, R. Estepar, A. Schmidt-Richberg, S. Gerard, B. Lassen-Schmidt, C. Jacobs, R. Beichel and K. Mori, "Thoracic Image Analysis", 2020;12502.
    Abstract DOI