Radboud Imaging Publications

most cited

Accepted or to appear

  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. G. Marra, G. Ploussard, J. Futterer, M. Valerio and E.-Y.P.C.W. Party. "Controversies in MR targeted biopsy: alone or combined, cognitive versus software-based fusion, transrectal versus transperineal approach?", World journal of urology. Abstract DOI PMID 30610359

  6. 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

  7. 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

  8. K. Wiegertjes, A. Ter Telgte, P.B. Oliveira, E.M.C. van Leijsen, M.I. Bergkamp, I.W.M. van Uden, M. Ghafoorian, H.M. van der Holst, D.G. Norris, B. Platel, C.J.M. Klijn, A.M. Tuladhar and F.-E. de Leeuw. "The role of small diffusion-weighted imaging lesions in cerebral small vessel disease.", Neurology. Abstract DOI PMID 31530710

  9. 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


  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. M. Caballo, K. Michielsen, C. Fedon and I. Sechopoulos. "Towards 4D dedicated breast CT perfusion imaging of cancer: development and validation of computer simulated images.", PMB 2019. Abstract DOI

  20. 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

  21. 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

  22. 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

  23. S. Fekkes, H.H.G. Hansen, J. Menssen, A.E.C.M. Saris and C.L. de Korte. "3-D Strain Imaging of the Carotid Bifurcation: Methods and in-Human Feasibility", Ultrasound in Medicine and Biology 2019. PDF DOI

  24. 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

  25. 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

  26. 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

  27. D. Grob, E. Smit, J. Prince, J. Kist, L. Stöger, B. Geurts, M. Snoeren, R. van Dijk, L. Oostveen, M. Prokop, C. Schaefer-Prokop, I. Sechopoulos and M. Brink. "Iodine Maps from Subtraction CT or Dual-Energy CT to Detect Pulmonary Emboli with CT Angiography: A Multiple-Observer Study.", Radiology 2019. Abstract DOI

  28. 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

  29. 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

  30. 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

  31. P.C.M. Herpers, M.J. Bakker-Huvenaars, C.U. Greven, E.C. Wiegers, K.S. Nijhof, A.N. Baanders, J.K. Buitelaar and N.N.J. Rommelse. "Emotional valence detection in adolescents with oppositional defiant disorder/conduct disorder or autism spectrum disorder", European child & adolescent psychiatry 2019. Abstract DOI PMID 30680520

  32. 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

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

  34. 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

  35. A. Kluytmans, J.J. Fütterer, M. Emberton, M. Sedelaar and J. Grutters. "Exploring the risk-reward balance in focal therapy for prostate cancer-a contribution to the debate", Prostate cancer and prostatic diseases 2019. Abstract DOI PMID 30664735

  36. O. Koshkina, G. Lajoinie, F. Baldelli Bombelli, E. Swider, L.J. Cruz, P.B. White, R. Schweins, Y. Dolen, E.A. van Dinther, N.K. van Riessen, C. Korte de and others. "Multicore Liquid Perfluorocarbon-Loaded Multimodal Nanoparticles for Stable Ultrasound and 19F MRI Applied to In Vivo Cell Tracking", Advanced Functional Materials 2019:1806485. PDF DOI

  37. 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

  38. 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

  39. J.M. Leerink, E.L.A.M. Feijen, H.J.H. van der Pal, W.E.M. Kok, A.M.C. Mavinkurve-Groothuis, L. Kapusta, Y.M. Pinto, A.H.E.M. Maas, L. Bellersen, A.J. Teske, C.M. Ronckers, M. Louwerens, E.C. van Dalen, E. van Dulmen-den Broeder, L. Batenburg, M. van der Heiden-van der Loo, M.M. van den Heuvel-Eibrink, F.E. van Leeuwen, A.C.H. de Vries, G. Weijers, C.L. de Korte, J.J. Loonen, S.J.C.M.M. Neggers, A.B.B. Versluys, W.J.E. Tissing, L.C.M. Kremer and L.S. Group. "Diagnostic tools for early detection of cardiac dysfunction in childhood cancer survivors: Methodological aspects of the Dutch late effects after childhood cancer (LATER) cardiology study.", American heart journal 2019;219:89-98. Abstract/PDF DOI PMID 31733449

  40. 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

  41. 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

  42. A. van Luijtelaar, B.M. Greenwood, H.U. Ahmed, A.B. Barqawi, E. Barret, J.G.R. Bomers, M.A. Brausi, P.L. Choyke, M.R. Cooperberg, S. Eggener, J.F. Feller, F. Frauscher, A.K. George, R.G. Hindley, S.F.M. Jenniskens, L. Klotz, G. Kovacs, U. Lindner, S. Loeb, D.J. Margolis, L.S. Marks, S. May, T.D. Mcclure, R. Montironi, S.G. Nour, A. Oto, T.J. Polascik, A.R. Rastinehad, T.M. De Reyke, J.S. Reijnen, J.J.M.C.H. de la Rosette, J.P.M. Sedelaar, D.S. Sperling, E.M. Walser, J.F. Ward, A. Villers, S. Ghai and J.J. Fütterer. "Focal laser ablation as clinical treatment of prostate cancer: report from a Delphi consensus project", World journal of urology 2019. Abstract DOI PMID 30671638

  43. 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

  44. F.J.A. Meijer, J.D. Schuijf, J. de Vries, H.D. Boogaarts, W.-J. van der Woude and M. Prokop. "Ultra-high-resolution subtraction CT angiography in the follow-up of treated intracranial aneurysms", Insights into imaging 2019;10:2. Abstract DOI PMID 30689062

  45. 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

  46. 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

  47. 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

  48. R.C. Nelissen, J. Honings, F.J.A. Meijer, H.P.M. Kunst and K.J.A.O. Ingels. "[Consider the diagnosis 'Bell's palsy' carefully]", Nederlands tijdschrift voor geneeskunde 2019;163. Abstract PMID 30698366

  49. 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

  50. 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

  51. 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

  52. 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

  53. A. Rodriguez-Ruiz, K. Lang, A. Gubern-Merida, M. Broeders, G. Gennaro, P. Clauser, T. Helbich, M. Chevalier, T. Tan, T. Mertelmeier, M. Wallis, Andersson I, S. Zackrisson, R. Mann and I. Sechopoulos. "Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists", JNCI 2019. Abstract DOI

  54. 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

  55. 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

  56. 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

  57. A.E.C.M. Saris, H.H.G. Hansen, S. Fekkes, J. Menssen, M.M. Nillesen and C.L. de Korte. "In Vivo Blood Velocity Vector Imaging Using Adaptive Velocity Compounding in the Carotid Artery Bifurcation", Ultrasound in Medicine and Biology 2019;45(7):1691-1707. PDF DOI

  58. E.A.J. de Savornin Lohman, T.J.J. de Bitter, C.J.H.M. van Laarhoven, J.J. Hermans, R.J. de Haas and P.R. de Reuver. "The diagnostic accuracy of CT and MRI for the detection of lymph node metastases in gallbladder cancer: A systematic review and meta-analysis.", European journal of radiology 2019;110:156-162. Abstract DOI PMID 30599854

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. R.W. Ten Broek, A. Eijkelenboom, C.J.M. van der Vleuten, E.J. Kamping, M. Kets, B.H. Verhoeven, K. Grünberg, L.J. Schultze Kool, B.B.J. Tops, M.J.L. Ligtenberg and U. Flucke. "Comprehensive molecular and clinicopathological analysis of vascular malformations: a study of 319 cases", Genes, chromosomes & cancer 2019. Abstract DOI PMID 30677207

  65. N. Van Beek, D.F. Stegeman, I. Jonkers, C.L. de Korte, D. Veeger and H. Maas. "Single finger movements in the aging hand: changes in finger independence, muscle activation patterns and tendon displacement in older adults", Experimental Brain Research 2019:1-14. PDF DOI