most cited

Accepted or to appear

Papers in international journals

  1. K. Chung, O.M. Mets, P.K. Gerke, C. Jacobs, A.M. den Harder, E.T. Scholten, M. Prokop, P.A. de Jong, B. van Ginneken and C.M. Schaefer-Prokop. "Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population", Thorax. Abstract/PDF DOI PMID 29777062

  2. M.T. Oei, F.J. Meijer, J.-J. Mordang, E.J. Smit, A.J. Idema, B.M. Goraj, H.O. Laue, M. Prokop and R. Manniesing. "Observer Variability of Reference Tissue Selection for Relative Cerebral Blood Volume Measurements in Glioma Patients", European Radiology. Abstract/PDF DOI PMID 29572637

  3. D. Tellez, I. Balkenhol, M. andOtte-Holler, R. van de Loo, R. Vogels, P. Bult, C. Wauters, S. Vreuls, W. andMol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi. "Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks", IEEE Transactions on Medical Imaging. Abstract/PDF DOI

  4. A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken. "Lung cancer risk to personalise annual and biennial follow-up computed tomography screening", Thorax;73(7):626-633. Abstract/PDF DOI PMID 29602813

  5. 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. Abstract/PDF DOI PMID 29625153

  6. S.V. de Lange, M.F. Bakker, E.M. Monninkhof, P.H.M. Peeters, P.K. de Koekkoek-Doll, R.M. Mann, M.J.C.M. Rutten, R.H.C. Bisschops, J. Veltman, K.M. Duvivier, M.B.I. Lobbes, H.J. de Koning, N. Karssemeijer, R.M. Pijnappel, W.B. Veldhuis and C.H. van Gils. "Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts.", Clinical radiology. Abstract DOI PMID 29759590

  7. M. Silva, C.M. Schaefer-Prokop, C. Jacobs, G. Capretti, F. Ciompi, B. van Ginneken, U. Pastorino and N. Sverzellati. "Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis.", Investigative Radiology. Abstract/PDF DOI PMID 29543693

Papers in conference proceedings

  1. S.C. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing. "Stacked Bidirectional Convolutional LSTMs for 3D Non-contrast CT Reconstruction from Spatiotemporal 4D CT", in: MIDL. Abstract/PDF URL

  2. T. de Moor, A. Rodriguez-Ruiz, R. Mann and J. Teuwen. "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", in: International Workshop on Breast Imaging. Abstract/PDF


Papers in international journals

  1. O.M. Mets, K. Chung, P. Zanen, E.T. Scholten, W.B. Veldhuis, B. van Ginneken, M. Prokop, C.M. Schaefer-Prokop and P.A. de Jong. "In vivo growth of 60 non-screening detected lung cancers: a computed tomography study", European Respiratory Journal 2018;51:1702183. Abstract/PDF DOI PMID 29650547

  2. M. Meijs, F.-E. de Leeuw, H.D. Boogaarts, R. Manniesing and F.J.A. Meijer. "Circle of Willis collateral flow in carotid artery occlusion is depicted by 4D-CTA", World Neurosurgery 2018;114:421-426. Abstract/PDF DOI PMID 29530689

  3. F. Venhuizen, B. van Ginneken, B. Liefers, F. van Asten, V. Schreur, S. Fauser, C. Hoyng, T. Theelen and C. Sánchez. "A Deep Learning Approach for Detection and Quantification of Intraretinal Cystoid Fluid in Multivendor Optical Coherence Tomography", Biomedical Optics 2018:1545-1569. Abstract/PDF DOI

  4. K. Chung, F. Ciompi, J.M. Scholten, E. Th. Goo, M. Prokop, C. Jacobs, B. van Ginneken and C.M. Schaefer-Prokop. "Visual Discrimination of Screen-detected Persistent from Transient Subsolid Nodules: an Observer Study", PLoS One 2018;13:e0191874. Abstract/PDF DOI PMID 29438443

  5. S. Vreemann, A. Gubern-Mérida, C. Borelli, P. Bult, N. Karssemeijer and R.M. Mann. "The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers", PLoS One 2018;13:e0191399. Abstract/PDF DOI PMID 29351560

  6. J.-P. Charbonnier, K. Chung, E.T. Scholten, E.M. van Rikxoort, C. Jacobs, N. Sverzellati, M. Silva, U. Pastorino, B. van Ginneken and F. Ciompi. "Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules", Nature Scientific Reports 2018;8:646. Abstract/PDF DOI PMID 29330380

  7. H. van der Holst, A. Tuladhar, V. Zerbi, I. van Uden, K. de Laat, E. van Leijsen, M. Ghafoorian, B. Platel, M. Bergkamp, A. van Norden and D. Norris. "White matter changes and gait decline in cerebral small vessel disease", NeuroImage: Clinical 2018;17:731-738. Abstract/PDF DOI PMID 29270357

  8. A. Boueiz, Y. Chang, M.H. Cho, G.R. Washko, R. San José Estépar, R.P. Bowler, J.D. Crapo, D.L. DeMeo, J.G. Dy, E.K. Silverman, P.J. Castaldi and COPDGene Investigators. "Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression", Chest 2018;153(1):65-76. Abstract/PDF DOI PMID 28943279

  9. O.M. Mets, K. Chung, E.T. Scholten, W.B. Veldhuis, M. Prokop, B. van Ginneken, C.M. Schaefer-Prokop and P.A. de Jong. "Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?", European Radiology 2018:1095-1101. Abstract/PDF DOI PMID 28986629

  10. G.E. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs. "Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans", Physics in Medicine and Biology 2018;63(8):085003. Abstract/PDF DOI PMID 29512516

  11. N. Lessmann, B. van Ginneken, M. Zreik, P.A. de Jong, B.D. de Vos, M.A. Viergever and I. Išgum. "Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions", IEEE Transactions on Medical Imaging 2018;37(2):615-625. Abstract/PDF DOI arXiv PMID 29408789

  12. C. Balta, R.W. Bouwman, I. Sechopoulos, M.J.M. Broeders, N. Karssemeijer, R.E. van Engen and W.J.H. Veldkamp. "A model observer study using acquired mammographic images of an anthropomorphic breast phantom.", Medical physics 2018;45:655-665. Abstract DOI PMID 29193129

  13. M.U. Dalmış, S. Vreemann, T. Kooi, R.M. Mann, N. Karssemeijer and A. Gubern-Mérida. "Fully automated detection of breast cancer in screening MRI using convolutional neural networks.", Journal of medical imaging (Bellingham, Wash.) 2018;5:014502. Abstract DOI PMID 29340287

  14. M. Haase and N. Moriakov. "On systems with quasi-discrete spectrum.", Stud. Math. 2018;241(2):173-199. DOI

  15. R. Manniesing, M.T.H. Oei, L.J. Oostveen, J. Melendez, E.J. Smit, B. Platel, C.I. Sánchez, F.J.A. Meijer, M. Prokop and B. van Ginneken. "Author Correction: White Matter and Gray Matter Segmentation in 4D Computed Tomography.", Scientific reports 2018;8:7889. Abstract DOI PMID 29760497

  16. J. Melendez, L. Hogeweg, C.I. Sánchez, R.H.H.M. Philipsen, R.W. Aldridge, A. Hayward, I. Abubakar, B. van Ginneken and A. Story. "Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening", International Journal of Tuberculosis and Lung Disease 2018;22(5):567-571. Abstract/PDF DOI PMID 29663963

  17. N. Moriakov. "Fluctuations of ergodic averages for actions of groups of polynomial growth.", Studia Mathematica 2018;240(3):255-273. DOI

  18. H. Pinckaers and G. Litjens. "Training convolutional neural networks with megapixel images", arXiv preprint arXiv:1804.05712 2018. arXiv

  19. M. van Rijthoven, Z. Swiderska-Chadaj, K. Seeliger, J. van der Laak and F. Ciompi. "You Only Look on Lymphocytes Once", #MIDL# 2018.

Papers in conference proceedings

  1. D. Tellez, M. Balkenhol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi. "H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection", in: Medical Imaging, volume 10581 of Proceedings of the SPIE, 2018. Abstract/PDF DOI

  2. D. Geijs, M. Intezar, J. van der Laak and G. Litjens. "Automatic color unmixing of IHC stained whole slide images", in: Medical Imaging, volume 10581 of SPIE, 2018. Abstract/PDF DOI

  3. M. Ghafoorian, J. Teuwen, R. Manniesing, F.-E. de Leeuw, B. van Ginneken, N. Karssemeijer and B. Platel. "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", in: Medical Imaging, volume 10574, 2018, page 105742U. Abstract/PDF DOI

  4. M. Meijs and R. Manniesing. "Artery and Vein Segmentation of the Cerebral Vasculature in 4D CT using a 3D Fully Convolutional Neural Network", in: Medical Imaging, volume 10575 of SPIE, 2018. Abstract/PDF DOI

  5. A. Patel and R. Manniesing. "A convolutional neural network for intracranial hemorrhage detection in non-contrast CT", in: Medical Imaging, volume 10575 of Proceedings of the SPIE, 2018. Abstract/PDF DOI

  6. N. Lessmann, B. van Ginneken and I. Išgum. "Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images", in: Medical Imaging, volume 10574 of Proceedings of the SPIE, 2018. Abstract/PDF DOI

  7. W. Bulten, C.A.H. vandeKaa, J. van der Laak and G.J.S. Litjens. "Automated segmentation of epithelial tissue in prostatectomy slides using deep learning", in: Medical Imaging, volume 10581 of SPIE, 2018. Abstract/PDF DOI

  8. A. Rodriguez-Ruiz, J. Teuwen, K. Chung, N. Karssemeijer, M. Chevalier, A. Gubern-Merida and I. Sechopoulos. "Pectoral muscle segmentation in breast tomosynthesis with deep learning", in: Medical Imaging, 2018. Abstract/PDF DOI

  9. K. Standvoss, T. Crijns, L. Goerke, D. Janssen, S. Kern, T. van Niedek, J. van Vugt, N.A. Burgos, E.J. Gerritse, J. Mol, D. van de Vooren, M. Ghafoorian, T.L. van den Heuvel and R. Manniesing. "Cerebral Microbleed Detection in Traumatic Brain Injury Patients using 3D Convolutational Neural Networks", in: Medical Imaging, volume 10575 of SPIE, 2018. Abstract/PDF DOI


  1. M. Hall, A.A.A. Setio, S. Sheridan, M. Sproule, M. Williams, E.T. Scholten, C. Jacobs, B. Van Ginneken and R.G.. "Computer aided detection (CAD) and scoring of lung nodules in a Scottish lung cancer screening programme", in: European Congress of Radiology, 2018. Abstract DOI

  2. A.W. van der Eerden, T.L. van den Heuvel, B.H. Geurts, B. Platel, T.V. Vyveree, L. van den Hauwee, T.M. Andriessen, B.M. Goraj and R. Manniesing. "Automatic versus human detection of traumatic cerebral microbleeds on susceptibility weighted imaging", in: European Congress of Radiology, 2018. Abstract

  3. E. Smeets, J. Teuwen, J. van der Laak, M. Gotthardt, F. Ciompi and E. Aarntzen. "Tumor heterogeneity as a PET-biomarker predicts overall survival of pancreatic cancer patients", in: European Society for Molecular Imaging, 2018. Abstract

  4. Z. Swiderska-Chadaj, H. Pinckaers, M. van Rijthoven, M. Balkenhol, M. Melnikova, O. Geessink, Q. Manson, G. Litjens, J. van der Laak and F. Ciompi. "Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images", 2018. URL


  1. K. Chung. "Malignancy risk estimation of subsolid nodules", PhD thesis, 2018. Abstract/PDF

  2. M. Ghafoorian. "Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers", PhD thesis, 2018. Abstract

  3. T. Kooi. "Computer aided diagnosis of breast cancer in mammography using deep neural networks", PhD thesis, 2018. Abstract/PDF

  4. A.A.A. Setio. "Computer-aided diagnosis in thoracic CT scans for lung cancer screening", PhD thesis, 2018. Abstract/PDF