Publications

Most cited

  1. G. Litjens, T. Kooi, B. Ehteshami Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken and C. Sánchez, "A Survey on Deep Learning in Medical Image Analysis", Medical Image Analysis, 2017;42:60-88. Abstract/PDF DOI PMID arXiv Cited by ~3681
  2. 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;23:501-509. Abstract/PDF DOI PMID Cited by ~2720
  3. K. Dana, B. van Ginneken, S. Nayar and J. Koenderink, "Reflectance and texture of real world surfaces", ACM Transactions on Graphics, 1999;18:1-34. Abstract/PDF DOI Cited by ~1745
  4. 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/PDF DOI Cited by ~849
  5. 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;28:1251-1265. Abstract/PDF DOI PMID Cited by ~813
  6. B. Ehteshami Bejnordi, M. Veta, P. van Diest, B. van Ginneken, N. Karssemeijer, G. Litjens, J. van der Laak, T. Consortium, M. Hermsen, Q. Manson, M. Balkenhol, O. Geessink, N. Stathonikos, M. van Dijk, P. Bult, F. Beca, A. Beck, D. Wang, A. Khosla, R. Gargeya, H. Irshad, A. Zhong, Q. Dou, Q. Li, H. Chen, H. Lin, P. Heng, C. Haß, E. Bruni, Q. Wong, U. Halici, M. Öner, R. Cetin-Atalay, M. Berseth, V. Khvatkov, A. Vylegzhanin, O. Kraus, M. Shaban, N. Rajpoot, R. Awan, K. Sirinukunwattana, T. Qaiser, Y. Tsang, D. Tellez, J. Annuscheit, P. Hufnagl, M. Valkonen, K. Kartasalo, L. Latonen, P. Ruusuvuori, K. Liimatainen, S. Albarqouni, B. Mungal, A. George, S. Demirci, N. Navab, S. Watanabe, S. Seno, Y. Takenaka, H. Matsuda, H. Ahmady Phoulady, V. Kovalev, A. Kalinovsky, V. Liauchuk, G. Bueno, M. Fernandez-Carrobles, I. Serrano, O. Deniz, D. Racoceanu and R. Venâncio, "Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer", Journal of the American Medical Association, 2017;318(22):2199-2210. Abstract/PDF DOI PMID Cited by ~791
  7. 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;21:924-933. Abstract/PDF DOI PMID Cited by ~652
  8. 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;261:46-66. Abstract/PDF DOI PMID Cited by ~633
  9. 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;25:385-405. Abstract/PDF DOI PMID Cited by ~621
  10. 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;35:1160-1169. Abstract/PDF DOI PMID Cited by ~605
  11. 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;241:449-458. Abstract/PDF DOI PMID Cited by ~603
  12. B. van Ginneken, B. ter Haar Romeny and M. Viergever, "Computer-aided diagnosis in chest radiography: a survey", IEEE Transactions on Medical Imaging, 2001;20:1228-1241. Abstract/PDF DOI PMID Cited by ~597
  13. 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;24:584-592. Abstract/PDF DOI PMID Cited by ~586
  14. 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;259:453-461. Abstract/PDF DOI PMID Cited by ~577
  15. G. Litjens, C. Sanchez, 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/PDF DOI PMID Cited by ~490
  16. M. Prokop, M. Galanski and C. Schaefer-Prokop, "Spiral and multislice computed tomography of the body", 2003. Abstract Cited by ~473
  17. 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;229:248-254. Abstract/PDF DOI PMID Cited by ~461
  18. 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;29:185-195. Abstract/PDF DOI PMID Cited by ~446
  19. 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/PDF DOI PMID Cited by ~432
  20. 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;183:520-527. Abstract/PDF DOI PMID Cited by ~415
  21. 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;10:19-40. Abstract/PDF DOI PMID Cited by ~410
  22. 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;31:1901-1920. Abstract/PDF DOI PMID Cited by ~391
  23. 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/PDF DOI PMID Cited by ~390
  24. 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;48:2260-2267. Abstract/PDF DOI PMID Cited by ~388
  25. N. Karssemeijer and G. te Brake, "Detection of stellate distortions in mammograms", IEEE Transactions on Medical Imaging, 1996;15:611-619. Abstract/PDF DOI PMID Cited by ~373
  26. 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;244:184-195. Abstract/PDF DOI PMID Cited by ~354
  27. N. Karssemeijer, "Automated classification of parenchymal patterns in mammograms", Physics in Medicine and Biology, 1998;43:365-378. Abstract/PDF DOI PMID Cited by ~337
  28. 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;61:177-184. Abstract/PDF DOI PMID Cited by ~324
  29. I. Sluimer, M. Prokop and B. van Ginneken, "Toward automated segmentation of the pathological lung in CT", IEEE Transactions on Medical Imaging, 2005;24:1025-1038. Abstract/PDF DOI PMID Cited by ~320
  30. 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;373:2325-2335. Abstract/PDF DOI PMID Cited by ~302
  31. A. Setio, A. Traverso, T. de Bel, M. Berens, C. Bogaard, P. Cerello, H. Chen, Q. Dou, M. Fantacci, B. Geurts, R. Gugten, P. Heng, B. Jansen, M. de Kaste, V. Kotov, J. Lin, J. Manders, A. Sonora-Mengana, J. Garcia-Naranjo, E. Papavasileiou, M. Prokop, M. Saletta, C. Schaefer-Prokop, E. Scholten, L. Scholten, M. Snoeren, E. Torres, J. Vandemeulebroucke, N. Walasek, G. Zuidhof, B. Ginneken and C. Jacobs, "Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge", Medical Image Analysis, 2017;42:1-13. Abstract/PDF DOI PMID arXiv Cited by ~291
  32. 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;31:193-198. Abstract/PDF DOI PMID Cited by ~287
  33. R. Manniesing, M. Viergever and W. Niessen, "Vessel enhancing diffusion: a scale space representation of vessel structures", Medical Image Analysis, 2006;10:815-825. Abstract/PDF DOI PMID Cited by ~285
  34. 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;13:757-770. Abstract/PDF DOI PMID Cited by ~275
  35. 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;18:359-373. Abstract/PDF DOI PMID Cited by ~275
  36. 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;21:139-149. Abstract/PDF DOI PMID Cited by ~255
  37. 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;237:541-549. Abstract/PDF DOI PMID Cited by ~253
  38. 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;25:273-282. Abstract/PDF DOI PMID Cited by ~250
  39. 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/PDF DOI PMID Cited by ~249
  40. 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;26:116-127. Abstract/PDF DOI PMID Cited by ~247
  41. M. Niemeijer, M. Abràmoff and B. van Ginneken, "Fast detection of the optic disc and fovea in color fundus photographs", Medical Image Analysis, 2009;13:859-870. Abstract/PDF DOI PMID Cited by ~247
  42. 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;36:2934-2947. Abstract/PDF DOI PMID Cited by ~244
  43. 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;35:1273-1284. Abstract/PDF DOI PMID Cited by ~240
  44. 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;33:1083-1092. Abstract/PDF DOI PMID Cited by ~234
  45. D. Abásolo, R. Hornero, P. Espino, J. Poza, C. Sánchez and R. de la Rosa, "Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy", Clinical Neurophysiology, 2005;116:1826-1834. Abstract/PDF DOI PMID Cited by ~233
  46. 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/PDF DOI PMID Cited by ~229
  47. 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/PDF DOI Cited by ~227
  48. 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;201:185-193. Abstract/PDF PMID Cited by ~222
  49. S. Timp and N. Karssemeijer, "A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography", Medical Physics, 2004;31:958-971. Abstract/PDF DOI PMID Cited by ~220
  50. C. Sánchez, M. García, A. Mayo, M. López and R. Hornero, "Retinal image analysis based on mixture models to detect hard exudates", Medical Image Analysis, 2009;13:650-658. Abstract/PDF DOI PMID Cited by ~206
  51. N. Karssemeijer, "Adaptive noise equalization and recognition of microcalcification clusters in mammograms", Int J Patt Recogn Artif Intell, 1993;7:1357-1375. Abstract/PDF DOI Cited by ~203
  52. 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;255:199-206. Abstract/PDF DOI PMID Cited by ~199
  53. B. van Ginneken, C. Schaefer-Prokop and M. Prokop, "Computer-aided Diagnosis: how to Move from the Laboratory to the Clinic", Radiology, 2011;261:719-732. Abstract/PDF DOI PMID Cited by ~197
  54. 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;65:291-303. Abstract/PDF DOI PMID Cited by ~195
  55. M. García, C. Sánchez, M. López, D. Abásolo and R. Hornero, "Neural network based detection of hard exudates in retinal images", Computer Methods and Programs in Biomedicine, 2009;93:9-19. Abstract/PDF DOI PMID Cited by ~193
  56. 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;26:195-202. Abstract/PDF DOI PMID Cited by ~191
  57. B. van Ginneken, M. Stavridi and J. Koenderink, "Diffuse and specular reflectance from rough surfaces", Applied Optics, 1998;37:130-139. Abstract/PDF DOI PMID Cited by ~191
  58. T. Heimann, M. Styner and B. van Ginneken, "3D Segmentation in the Clinic: A Grand Challenge", 2007. Abstract Cited by ~190
  59. 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;31:2093-2107. Abstract/PDF DOI PMID Cited by ~187
  60. 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/PDF DOI PMID Cited by ~185
  61. I. Sluimer, P. van Waes, M. Viergever and B. van Ginneken, "Computer-aided diagnosis in high-resolution CT of the lungs", Medical Physics, 2003;30:3081-3090. Abstract/PDF DOI PMID Cited by ~181
  62. 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;14:39-49. Abstract/PDF DOI PMID Cited by ~179
  63. 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;18:1818-30. Abstract/PDF DOI PMID Cited by ~176
  64. 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;39:671-680. Abstract/PDF PMID Cited by ~176
  65. C. Sánchez, R. Hornero, M. López, M. Aboy, J. Poza and D. Abásolo, "A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis", Medical Engineering and Physics, 2008;30:350-357. Abstract/PDF DOI PMID Cited by ~173
  66. 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;10:295-304. Abstract/PDF DOI PMID Cited by ~172
  67. F. Ciompi, K. Chung, S. van Riel, A. Setio, P. Gerke, C. Jacobs, E. Scholten, C. Schaefer-Prokop, M. Wille, A. Marchiano, U. Pastorino, M. Prokop and B. van Ginneken, "Towards automatic pulmonary nodule management in lung cancer screening with deep learning", Nature Scientific Reports, 2017. Abstract DOI PMID arXiv Cited by ~171
  68. 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/PDF DOI PMID Cited by ~167
  69. 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/PDF DOI PMID Cited by ~164
  70. 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;227:192-200. Abstract/PDF DOI PMID Cited by ~162
  71. G. te Brake and N. Karssemeijer, "Single and multiscale detection of masses in digital mammograms", IEEE Transactions on Medical Imaging, 1999;18:628-639. Abstract/PDF DOI PMID Cited by ~161
  72. 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;16:691-696. Abstract/PDF DOI PMID Cited by ~155
  73. M. Giger, N. Karssemeijer and S. Armato, "Computer-aided diagnosis in medical imaging", IEEE Transactions on Medical Imaging, 2001;20:1205-1208. Abstract/PDF PMID Cited by ~154
  74. R. Manniesing, B. Velthuis, M. van Leeuwen, I. van der Schaaf, P. van Laar and W. Niessen, "Level set based cerebral vasculature segmentation and diameter quantification in CT angiography", Medical Image Analysis, 2006;10:200-214. Abstract/PDF DOI PMID Cited by ~152
  75. 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;45:2843-2857. Abstract/PDF PMID Cited by ~151
  76. 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/PDF PMID Cited by ~150
  77. 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/PDF DOI PMID Cited by ~149
  78. 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;31:1941-1950. Abstract/PDF DOI PMID Cited by ~149
  79. 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;69:980-986. Abstract/PDF DOI PMID Cited by ~147
  80. 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;10:888-898. Abstract/PDF DOI PMID Cited by ~144
  81. 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;253:353-358. Abstract/PDF DOI PMID Cited by ~141
  82. M. Prokop, H. Shin, A. Schanz and C. Schaefer-Prokop, "Use of maximum intensity projections in CT angiography: a basic review", Radiographics, 1997;17:433-451. Abstract PMID Cited by ~140
  83. 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 ,. on behalf of the Committee, "Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging", European Radiology, 2012;22:1451-1464. Abstract/PDF PMID Cited by ~139
  84. B. van Ginneken and B. ter Romeny, "Automatic segmentation of lung fields in chest radiographs", Medical Physics, 2000;27:2445-2455. Abstract/PDF DOI PMID Cited by ~138
  85. 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;19:800-808. Abstract/PDF DOI PMID Cited by ~135
  86. 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;15:71-84. Abstract/PDF DOI PMID Cited by ~135
  87. 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;48:1332-1337. Abstract PMID Cited by ~135
  88. W. Veldkamp, N. Karssemeijer, J. Otten and J. Hendriks, "Automated classification of clustered microcalcifications into malignant and benign types", Medical Physics, 2000;27:2600-2608. Abstract/PDF DOI PMID Cited by ~133
  89. 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;13:607-614. Abstract/PDF PMID Cited by ~131
  90. 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;35:404-415. Abstract/PDF DOI PMID Cited by ~128
  91. M. de Bruijne, B. van Ginneken, M. Viergever and W. Niessen, "Interactive segmentation of abdominal aortic aneurysms in CTA images", Medical Image Analysis, 2004;8:127-138. Abstract/PDF DOI PMID Cited by ~127
  92. 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;43:686-694. Abstract/PDF DOI PMID Cited by ~126
  93. 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/PDF DOI PMID Cited by ~125
  94. 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/PDF DOI arXiv Cited by ~124
  95. 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;28:775-785. Abstract/PDF DOI PMID Cited by ~124
  96. 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;28:485-493. Abstract/PDF DOI PMID Cited by ~122
  97. P. Koopmans, R. Manniesing, W. Niessen, M. Viergever and M. Barth, "MR venography of the human brain using susceptibility weighted imaging at very high field strength", Magnetic Resonance Materials in Physics, Biology and Medicine, 2008;21:149-158. Abstract/PDF DOI PMID Cited by ~122
  98. 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;306:1775-1781. Abstract/PDF DOI PMID Cited by ~122
  99. N. Karssemeijer, J. Frieling and J. Hendriks, "Spatial resolution in digital mammography", Investigative Radiology, 1993;28:413-419. Abstract/PDF PMID Cited by ~121
  100. 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;57:1527-1542. Abstract/PDF DOI PMID Cited by ~119