Accepted or to appear

Papers in international journals

  1. S.C. 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. Abstract/PDF DOI PMID 31484111

  2. F. Ayatollahi, S.B. 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. Abstract

  3. C. Gonzalez-Gonzalo, V. Sanchez-Gutierrez, P. Hernandez-Martinez, I. Contreras, Y.T. Lechanteur, A. Domanian, B. van Ginneken and C.I. Sanchez. "Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration", Acta Ophthalmologica. Abstract/PDF DOI arXiv

  4. C. González-Gonzalo, V. Sánchez-Gutiérrez, P. Hernández-Martínez, I. Contreras, Y.T. Lechanteur, A. Domanian, B. van Ginneken and C.I. Sánchez. "Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.", Acta ophthalmologica. Abstract DOI PMID 31773912

  5. D. Tellez, G. Litjens, P. Bándi, W. Bulten, J.-M. Bokhorst, F. Ciompi and J. van der Laak. "Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.", Medical Image Analysis;58:101544. Abstract/PDF DOI PMID 31466046

  6. D. Valkenburg, E.H. Runhart, N.M. Bax, B. Liefers, S.L. Lambertus, C.I. Sánchez, F.P. Cremers and C.B. Hoyng. "Highly variable disease courses in siblings with Stargardt disease", Ophthalmology. Abstract/PDF DOI PMID 31522899

  7. J.C. van Zelst, T. Tan, R.M. 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:284185119858051. Abstract/PDF DOI PMID 31324132


Papers in international journals

  1. M. Meijs, S.A. Pegge, K. Murayama, H.D. Boogaarts, M. Prokop, P.W. Willems, R. Manniesing and F.J. Meijer. "Color mapping of 4D-CTA for the detection of cranial arteriovenous shunts", American Journal of Neuroradiology 2019;40(9):1498-1504. Abstract/PDF DOI PMID 31395664

  2. S.C. van de Leemput, M. Meijs, A. Patel, F. Meijer, B. van Ginneken and R. Manniesing. "Multiclass Brain Tissue Segmentation in 4D CT using Convolutional Neural Networks", IEEE Access 2019;7:51557-51569. Abstract/PDF DOI

  3. A. Schreuder, C. Jacobs, L. Gallardo-Estrella, M. Prokop, C.M. Schaefer-Prokop and B. van Ginneken. "Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances", PLoS One 2019;14:e0212756. Abstract/PDF DOI PMID 30789954

  4. N. Lessmann, B. van Ginneken, P.A. de Jong and I. Išgum. "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", Medical Image Analysis 2019;53:142-155. Abstract/PDF DOI arXiv PMID 30771712

  5. N. Lessmann, P.A. de Jong, C. Celeng, R.A.P. Takx, M.A. Viergever, B. van Ginneken and I. Išgum. "Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers", JACC Cardiovascular Imaging 2019;12:1808-1817. Abstract/PDF DOI PMID 30660540

  6. B. van Ginneken. "Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?", Radiology 2019;290:545-546. PDF DOI PMID 30422089

  7. M. Tammemagi, A.J. Ritchie, S. Atkar-Khattra, B. Dougherty, C. Sanghera, J.R. Mayo, R. Yuan, D. Manos, A.M. McWilliams, H. Schmidt, M. Gingras, S. Pasian, L. Stewart, S. Tsai, J.M.Seely, P. Burrowes, R. Bhatia, E.A.Haider, C. Boylan, C. Jacobs, B. van Ginneken, M.-S. Tsao, S. Lam and the Pan-Canadian Early Detection of Lung Cancer Study Group. "Predicting Malignancy Risk of Screen Detected Lung Nodules – Mean Diameter or Volume", Journal of Thoracic Oncology 2019;14:203-211. Abstract/PDF DOI PMID 30368011

  8. N.M. deSouza, E. Achten, A. Alberich-Bayarri, F. Bamberg, R. Boellaard, O. Clément, L. Fournier, F. Gallagher, X. Golay, C.P. Heussel, E.F. Jackson, R. Manniesing, M.E. Mayerhofer, E. Neri, J. O'Connor, K.K. Oguz, A. Persson, M. Smits, E.J.R. van Beek, C.J. Zech and E.S. of Radiology. "Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)", Insights into Imaging 2019;10:87. Abstract/PDF DOI PMID 31468205

  9. E. Abels, L. Pantanowitz, F. Aeffner, M.D. Zarella, J. van der Laak, M.M. Bui, V.N. Vemuri, A.V. Parwani, J. Gibbs, E. Agosto-Arroyo, A.H. Beck and C. Kozlowski. "Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association", Journal of Pathology 2019;249:286-294. Abstract/PDF DOI PMID 31355445

  10. L. Aprupe, G. Litjens, T.J. Brinker, J. van der Laak and N. Grabe. "Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks", PeerJ 2019;7:e6335. Abstract/PDF DOI PMID 30993030

  11. 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", Nature Scientific Reports 2019;9(11591). Abstract/PDF DOI PMID 31406194

  12. M.F. Bakker, S.V. de Lange, R.M. Pijnappel, R.M. Mann, P.H.M. Peeters, E.M. Monninkhof, M.J. Emaus, C.E. Loo, R.H.C. Bisschops, M.B.I. Lobbes, M.D.F. de Jong, K.M. Duvivier, J. Veltman, N. Karssemeijer, H.J. de Koning, P.J. van Diest, W.P.T.M. Mali, M.A.A.J. van den Bosch, W.B. Veldhuis, C.H. van Gils and D.T.S. Group. "Supplemental MRI Screening for Women with Extremely Dense Breast Tissue.", The New England journal of medicine 2019;381:2091-2102. Abstract DOI PMID 31774954

  13. M.C.A. Balkenhol, P. Bult, D. Tellez, W. Vreuls, P.C. Clahsen, F. Ciompi and J.A.W.M. van der Laak. "Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer", Cellular Oncology 2019. Abstract/PDF DOI PMID 30989469

  14. M.C.A. Balkenhol, D. Tellez, W. Vreuls, P.C. Clahsen, H. Pinckaers, F. Ciompi, P. Bult and J.A.W.M. van der Laak. "Deep learning assisted mitotic counting for breast cancer", Laboratory Investigation 2019. Abstract/PDF DOI PMID 31222166

  15. C. Balta, R.W. Bouwman, M.J. Broeders, N. Karssemeijer, W.J. Veldkamp, I. Sechopoulos and R.E. van Engen. "Optimization of the difference-of-Gaussian channel sets for the channelized Hotelling observer", Journal of Medical Imaging 2019;6(3):035501.

  16. R.J. Becks, R. Manniesing, J. Vister, S. Pegge, S.C. Steens, E.J. van Dijk, M. Prokop and F.J. Meijer. "Brain CT Perfusion Improves Intracranial Vessel Occlusion Detection on CT Angiography", Journal of Neuroradiology 2019;46(2):124-129. Abstract/PDF DOI PMID 29625153

  17. J. Bleker, T. Kwee, R. Dierckx, I. deJong, H. Huisman and D. Yakar. "Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer", European Radiology 2019. Abstract/PDF DOI

  18. W. Bulten, P. Bándi, J. Hoven, R. van de Loo, J. Lotz, N. Weiss, J. van der Laak, B. van Ginneken, C. Hulsbergen-van de Kaa and G. Litjens. "Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard", Nature Scientific Reports 2019;9(864). Abstract/PDF DOI arXiv PMID 30696866

  19. J.-P. Charbonnier, E. Pompe, C. Moore, S. Humphries, B. van Ginneken, B. Make, E. Regan, J.D. Crapo, E.M. van Rikxoort and D.A. Lynch. "Airway wall thickening on CT: Relation to smoking status and severity of COPD", Respiratory Medicine 2019;146:36-41. Abstract/PDF DOI PMID 30665516

  20. G. Chlebus, H. Meine, S. Thoduka, N. Abolmaali, B. van Ginneken, H.K. Hahn and A. Schenk. "Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections", PLoS One 2019;14:e0217228. Abstract/PDF DOI PMID 31107915

  21. M.U. Dalmış, A. Gubern-Merida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann and J. Teuwen. "Artificial Intelligence Based Classification of Breast Lesions Imaged With a Multi-Parametric Breast MRI Protocol With ultrafast DCE-MRI, T2 and DWI", Investigative Radiology 2019;56:325-332. Abstract/PDF DOI PMID 30652985

  22. R.P. Finger, S. Schmitz-Valckenberg, M. Schmid, G.S. Rubin, H. Dunbar, A. Tufail, D.P. Crabb, A. Binns, C.I. Sánchez, P. Margaron, G. Normand, M.K. Durbin, U.F.O. Luhmann, P. Zamiri, J. Cunha-Vaz, F. Asmus, F.G. Holz and on behalf of the MACUSTAR consortium. "MACUSTAR: Development and Clinical Validation of Functional, Structural, and Patient-Reported Endpoints in Intermediate Age-Related Macular Degeneration" 2019;241:61-72. Abstract/PDF DOI PMID 30153664

  23. J.J. Gomez-Valverde, A. Anton, G. Fatti, B. Liefers, A. Herranz, A. Santos, C.I. Sanchez and M.J. Ledesma-Carbayo. "Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning", Biomedical Optics Express 2019;10(2):892-913. Abstract/PDF DOI PMID 30800522

  24. O. Geessink, A. Baidoshvili, J. Klaase, B. Ehteshami Bejnordi, G. Litjens, G. van Pelt, W. Mesker, I. Nagtegaal, F. Ciompi and J. van der Laak. "Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer", Cellular Oncology 2019:1-11. Abstract/PDF DOI PMID 30825182

  25. A. Halilovic, D.I. Verweij, A. Simons, M.J.P.L. Stevens-Kroef, S. Vermeulen, J. Elsink, B.B.J. Tops, I. Otte-Höller, J.A.W.M. van der Laak, C. van de Water, O.B.A. Boelens, M.S. Schlooz-Vries, J.R. Dijkstra, I.D. Nagtegaal, J. Tol, P.H.J. van Cleef, P.N. Span and P. Bult. "HER2, chromosome 17 polysomy and DNA ploidy status in breast cancer; a translational study", Scientific Reports 2019;9:11679. Abstract/PDF DOI PMID 31406196

  26. T.J. Heesterbeek, E.K. de Jong, I.E. Acar, J.M.M. Groenewoud, B. Liefers, C.I. Sánchez, T. Peto, C.B. Hoyng, D. Pauleikhoff, H.W. Hense and A.I. den Hollander. "Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration", Nature Scientific Reports 2019;9:6611. Abstract/PDF DOI PMID 31036867

  27. A. Hering, S. Kuckertz, S. Heldmann and M.P. Heinrich. "Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans", Computer Assisted Radiology and Surgery 2019. Abstract/PDF DOI PMID 31538274

  28. M. Hermsen, T. de Bel, M. den Boer, E.J. Steenbergen, J. Kers, S. Florquin, J.J.T.H. Roelofs, M.D. Stegall, M.P. Alexander, B.H. Smith, B. Smeets, L.B. Hilbrands and J.A.W.M. van der Laak. "Deep-learning based histopathologic assessment of kidney tissue", Journal of the American Society of Nephrology 2019;30:1968-1979. Abstract/PDF DOI PMID 31488607

  29. T.L.A. van den Heuvel, H. Petros, S. Santini, C.L. de Korte and B. van Ginneken. "Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries", Ultrasound in Medicine and Biology 2019;45(3):773-785. Abstract/PDF DOI PMID 30573305

  30. H. Huisman. "Solid Science of AI Supporting Bladder Cancer CT Reading", Academic radiology 2019;26(9):1146-1147. PDF DOI

  31. C. Jacobs and B. van Ginneken. "Google’s lung cancer AI: a promising tool that needs further validation", Nature Reviews Clinical Oncology 2019;16:532–533. Abstract/PDF DOI PMID 31249401

  32. J. van der Laak, F. Ciompi and G. Litjens. "No pixel-level annotations needed", Nature Biomedical Engineering 2019;3:855-856. PDF DOI PMID 31624355

  33. S.C. van de Leemput, J. Teuwen, B. van Ginneken and R. Manniesing. "MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks", Journal of Open Source Software 2019;4(39):1576. Abstract/PDF DOI

  34. E.M. van Leijsen, M.I. Bergkamp, I.W. van Uden, S. Cooijmans, M. Ghafoorian, H.M. van der Holst, D.G. Norris, R.P. Kessels, B. Platel, A.M. Tuladhar and F.-E. de Leeuw. "Cognitive consequences of regression of cerebral small vessel disease", European Stroke Journal 2019;4:85-89. Abstract/PDF DOI PMID 31165098

  35. G. Litjens, F. Ciompi, J.M. Wolterink, B.D. de Vos, T. Leiner, J. Teuwen and I. Išgum. "State-of-the-Art Deep Learning in Cardiovascular Image Analysis.", JACC Cardiovascular Imaging 2019;12:1549-1565. Abstract/PDF DOI PMID 31395244

  36. M.C. Maas, G.J.S. Litjens, A.J. Wright, U.I. Attenberger, M.A. Haider, T.H. Helbich, B. Kiefer, K.J. Macura, D.J.A. Margolis, A.R. Padhani, K.M. Selnæs, G.M. Villeirs, J.J. Fütterer and T.W.J. Scheenen. "A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach", Investigative Radiology 2019. Abstract/PDF DOI PMID 30946180

  37. M. Mullooly, B. Ehteshami Bejnordi, R.M. Pfeiffer, S. Fan, M. Palakal, M. Hada, P.M. Vacek, D.L. Weaver, J.A. Shepherd, B. Fan, A.P. Mahmoudzadeh, J. Wang, S. Malkov, J.M. Johnson, S.D. Herschorn, B.L. Sprague, S. Hewitt, L.A. Brinton, N. Karssemeijer, J. van der Laak, A. Beck, M.E. Sherman and G.L. Gierach. "Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density", NPJ Breast Cancer 2019;5:43. Abstract/PDF DOI PMID 31754628

  38. I.D. Munsterman, M. Van Erp, G. Weijers, C. Bronkhorst, C.L. de Korte, J.P. Drenth, J.A. van der Laak and E.T. Tjwa. "A Novel Automatic Digital Algorithm that Accurately Quantifies Steatosis in NAFLD on Histopathological Whole-Slide Images", Cytometry Part B-Clinical Cytometry 2019. Abstract/PDF DOI PMID 31173462

  39. G. Napolitano, E. Lynge, M. Lillholm, I. Vejborg, C.H. van Gils, M. Nielsen and N. Karssemeijer. "Change in mammographic density across birth cohorts of Dutch breast cancer screening participants", International Journal of Cancer 2019;145:2954-2962. Abstract/PDF DOI PMID 30762225

  40. A. Patel, S.C. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing. "Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT", IEEE Access 2019;7:92355-92364. Abstract/PDF DOI

  41. A. Patel, F.H.B.M. Schreuder, C.J.M. Klijn, M. Prokop, B. van Ginneken, H.A. Marquering, Y.B.W.E.M. Roos, M.I. Baharoglu, F.J.A. Meijer and R. Manniesing. "Intracerebral haemorrhage segmentation in non-contrast CT", Nature Scientific Reports 2019;9:17858. Abstract/PDF DOI

  42. R.H.H.M. Philipsen, C.I. Sánchez, J. Melendez, W.J. Lew and B. van Ginneken. "Automated chest X-ray reading for tuberculosis in the Philippines to improve case detection: a cohort study", International Journal of Tuberculosis and Lung Disease 2019;23:805-810. Abstract/PDF DOI PMID 31439111

  43. P. Putzky, D. Karkalousos, J. Teuwen, N. Moriakov, B. Bakker, M. Caan and M. Welling. "i-RIM applied to the fastMRI challenge", 1910.08952 2019. Abstract arXiv

  44. S.J. van Riel, C. Jacobs, E.T. Scholten, R. Wittenberg, M.M. Winkler Wille, B. de Hoop, R. Sprengers, O.M. Mets, B. Geurts, M. Prokop, C. Schaefer-Prokop and B. van Ginneken. "Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management", European Radiology 2019;29(2):924-931. Abstract/PDF DOI PMID 30066248

  45. A. Rodriguez-Ruiz, K. Lång, A. Gubern-Merida, J. Teuwen, M. Broeders, G. Gennaro, P. Clauser, T.H. Helbich, M. Chevalier, T. Mertelmeier, M.G. Wallis, I. Andersson, S. Zackrisson, I. Sechopoulos and R.M. Mann. "Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study", European Radiology 2019;29:4825-4832. Abstract/PDF DOI PMID 30993432

  46. S. Saadatmand, H.A. Geuzinge, E.J.T. Rutgers, R.M. Mann, D.B.W. de Roy van Zuidewijn, H.M. Zonderland, R.A.E.M. Tollenaar, M.B.I. Lobbes, M.G.E.M. Ausems, M. van 't Riet, M.J. Hooning, I. Mares-Engelberts, E.J.T. Luiten, E.A.M. Heijnsdijk, C. Verhoef, N. Karssemeijer, J.C. Oosterwijk, I.-M. Obdeijn, H.J. de Koning, M.M.A. Tilanus-Linthorst and F. study group. "MRI versus mammography for breast cancer screening in women with familial risk (FaMRIsc): a multicentre, randomised, controlled trial", Lancet Oncology 2019;20:1136-1147. Abstract/PDF DOI PMID 31221620

  47. W.B.G. Sanderink, B.I. Laarhuis, L.J.A. Strobbe, I. Sechopoulos, P. Bult, N. Karssemeijer and R.M. Mann. "A systematic review on the use of the breast lesion excision system in breast disease", Insights into Imaging 2019;10:49. Abstract/PDF DOI PMID 31049740

  48. V. Schreur, A. de Breuk, F.G. Venhuizen, C.I. Sánchez, C.J. Tack, B.J. Klevering, E.K. de Jong and C.B. Hoyng. "Retinal hyperreflective foci in type 1 diabetes mellitus", Retina 2019. Abstract/PDF DOI PMID 31356496

  49. V. Schreur, A. Domanian, B. Liefers, F.G. Venhuizen, B.J. Klevering, C.B. Hoyng, E.K. de Jong and T. Theelen. "Morphological and topographical appearance of microaneurysms on optical coherence tomography angiography", British Journal of Ophthalmology 2019;103(5):630-635. Abstract DOI PMID 29925511

  50. B. Sturm, D. Creytens, M.G. Cook, J. Smits, M.C.R.F. van Dijk, E. Eijken, E. Kurpershoek, H.V.N. Küsters-Vandevelde, A.H.A.G. Ooms, C. Wauters, W.A.M. Blokx and J.A.W.M. van der Laak. "Validation of Whole-slide Digitally Imaged Melanocytic Lesions: Does Z-Stack Scanning Improve Diagnostic Accuracy?", Journal of Pathology Informatics 2019;10:6. Abstract/PDF DOI PMID 30972225

  51. Z. Swiderska-Chadaj, H. Pinckaers, M. van Rijthoven, M. Balkenhol, M. Melnikova, O. Geessink, Q. Manson, M. Sherman, A. Polonia, J. Parry, M. Abubakar, G. Litjens, J. van der Laak and F. Ciompi. "Learning to detect lymphocytes in immunohistochemistry with deep learning", Medical Image Analysis 2019;58:101547. Abstract/PDF DOI PMID 31476576

  52. 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 2019;58:101544. Abstract/PDF DOI PMID 31442971

  53. M. Veta, Y.J. Heng, N. Stathonikos, B.E. Bejnordi, F. Beca, T. Wollmann, K. Rohr, M.A. Shah, D. Wang, M. Rousson, M. Hedlund, D. Tellez, F. Ciompi, E. Zerhouni, D. Lanyi, M. Viana, V. Kovalev, V. Liauchuk, H.A. Phoulady, T. Qaiser, S. Graham, N. Rajpoot, E. Sjöblom, J. Molin, K. Paeng, S. Hwang, S. Park, Z. Jia, E.I.-C. Chang, Y. Xu, A.H. Beck, P.J. van Diest and J.P.W. Pluim. "Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge", Medical Image Analysis 2019;54(5):111-121. Abstract/PDF DOI PMID 30861443


  1. P. Bilic, P.F. Christ, E. Vorontsov, G. Chlebus, H. Chen, Q. Dou, C.-W. Fu, X. Han, P.-A. Heng, J. Hesser, S. Kadoury, T. Konopczynski, M. Le, C. Li, X. Li, J. Lipkovà, J. Lowengrub, H. Meine, J.H. Moltz, C. Pal, M. Piraud, X. Qi, J. Qi, M. Rempfler, K. Roth, A. Schenk, A. Sekuboyina, E. Vorontsov, P. Zhou, C. Hülsemeyer, M. Beetz, F. Ettlinger, F. Gruen, G. Kaissis, F. Lohöfer, R. Braren, J. Holch, F. Hofmann, W. Sommer, V. Heinemann, C. Jacobs, G.E. Humpire Mamani, B. van Ginneken, G. Chartrand, A. Tang, M. Drozdzal, A. Ben-Cohen, E. Klang, M.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.H. Menze. "The Liver Tumor Segmentation Benchmark (LiTS)", arXiv:1901.04056 2019. Abstract

  2. W. Bulten, H. Pinckaers, H. van Boven, R. Vink, T. de Bel, B. van Ginneken, J. van der Laak, C. Hulsbergen-van de Kaa and G. Litjens. "Automated Gleason Grading of Prostate Biopsies using Deep Learning", arXiv:1907.07980 2019. Abstract arXiv

  3. R. Dilz, L. Schröder, N. Moriakov, J.-J. Sonke and J. Teuwen. "Learned SIRT for Cone Beam Computed Tomography Reconstruction", arXiv:1908.10715 2019. Abstract

  4. C. Gonzalez-Gonzalo, B. Liefers, B. van Ginneken and C.I. Sanchez. "Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks", arXiv:1910.07373 2019. Abstract

  5. S. Hu, D. Worrall, S. Knegt, B. Veeling, H. Huisman and M. Welling. "Supervised uncertainty quantification for segmentation with multiple annotations", arXiv preprint arXiv:1907.01949 2019. Abstract

  6. B. Liefers, J.M. Colijn, C. Gonzalez-Gonzalo, T. Verzijden, P. Mitchell, C.B. Hoyng, B. van Ginneken, C.C. Klaver and C.I. Sanchez. "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", arXiv:1908.05621 2019. Abstract/PDF arXiv

  7. K. Murphy, S.S. Habib, S.M.A. Zaidi, S. Khowaja, A. Khan, J. Melendez, E.T. Scholten, F. Amad, S. Schalekamp, M. Verhagen, R.H.H.M. 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/PDF arXiv

  8. A.L. Simpson, M. Antonelli, S. Bakas, M. Bilello, K. Farahani, B. van Ginneken, A. Kopp-Schneider, B.A. Landman, G. Litjens, B. Menze, O. Ronneberger, R.M. Summers, P. Bilic, P.F. Christ, R.K.G. Do, M. Gollub, J. Golia-Pernicka, S.H. Heckers, W.R. Jarnagin, M.K. McHugo, S. Napel, E. Vorontsov, L. Maier-Hein and M.J. Cardoso. "A large annotated medical image dataset for the development and evaluation of segmentation algorithms", arXiv:1902.09063 2019. Abstract/PDF arXiv

Papers in conference proceedings

  1. E. Calli, E. Sogancioglu, E.T. Scholten, K. Murphy and B. van Ginneken. "Handling label noise through model confidence and uncertainty: application to chest radiograph classification", in: Medical Imaging of Proceedings of the SPIE, 2019. Abstract/PDF DOI

  2. 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", in: Medical Imaging with Deep Learning, 2019. Abstract/PDF URL

  3. J.-M. 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", in: Medical Imaging with Deep Learning, volume 102 of Proceedings of Machine Learning Research, 2019, pages 81-94. Abstract/PDF URL

  4. M. Caballo, J. Teuwen, R. Mann and I. Sechopolous. "Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images", in: Medical Imaging of Proceedings of the SPIE, 2019. Abstract/PDF DOI

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  10. A.R. Ruiz. "Artificial intelligence & tomosynthesis for breast cancer detection", PhD thesis, Radboud University, Nijmegen, 2019. Abstract/PDF URL

  11. E. Smit. "Feasibility of a single-acquisition CT stroke protocol", PhD thesis, University of Utrecht, 2019. Abstract/PDF

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