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. 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 PMID 31773912

  3. H.-U. Kauczor, A.-M. Baird, T.G. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. v Cepicka, A. Comanescu, S. Courad, A. Devaraj, V. Jespersen, S. Morozov, I.N. Agmon, N. Peled, P. Powell, H. Prosch, S. Ravara, J. Rawlinson, M.-P. Revel, M. Silca, A. Snoeckx, B. van Ginneken, J. van Meerbeeck, C. Vardavas, O. von Stackelberg, M. Gaga, on behalf of the European Society of Radiology (ESR) and the European Respiratory Society (ERS). "ESR/ERS statement paper on lung cancer screening", European Radiology. Abstract/PDF DOI PMID 32052170

  4. B. Liefers, J.M. Colijn, C. Gonz#a_acute#lez-Gonzalo, T. Verzijden, J.J. Wang, N. Joachim, P. Mitchell, C.B. Hoyng, B. v. Ginneken, C.C. Klaver and C.I. S#a_acute#nchez. "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", Ophthalmology. PDF DOI

  5. N. Mahomed, B. van Ginneken, R.H.H.M. Philipsen, J. Melendez, D.P. Moore, H. Moodley, T. Sewchuran, D. Mathew and S.A. Madhi. "Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children", Pediatric Radiology. Abstract/PDF DOI PMID 31930429

  6. 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", Nature Scientific Reports. Abstract arXiv

  7. M.M. Sieren, F. Brenne, A. Hering, H. Kienapfel, N. Gebauer, T.H. 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. PDF DOI PMID 32048038

  8. S.G.M. van Velzen, N. Lessmann, B.K. Velthuis, I.E.M. Bank, D.H.J.G. van den Bongard, T. Leiner, P.A. de Jong, W.B. Veldhuis, A. Correa, J.G. Terry, J.J. Carr, M.A. Viergever, H.M. Verkooijen and I. Išgum. "Deep learning for automatic calcium scoring in CT: Validation using multiple cardiac CT and chest CT protocols", Radiology. Abstract/PDF DOI PMID 32043947

  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

Papers in conference proceedings

  1. H.C. Altun, G. Chlebus, C. Jacobs, H. Meine, B. van Ginneken and H.K. 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", in: Medical Imaging of Proceedings of the SPIE. Abstract


Papers in international journals

  1. 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 2020;15:297-307. Abstract/PDF DOI PMID 31838643

  2. 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. Abstract/PDF DOI PMID 31978921

  3. 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 deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study", Lancet Oncology 2020. Abstract/PDF DOI arXiv PMID 31926805

  4. H.-U. Kauczor, A.-M. Baird, T.G. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. Cepicka, A. Comanescu, S. Couraud, A. Devaraj, V. Jespersen, S. Morozov, I. Nardi Agmon, N. Peled, P. Powell, H. Prosch, S. Ravara, J. Rawlinson, M.-P. Revel, M. Silva, A. Snoeckx, B. van Ginneken, J.P. van Meerbeeck, C. Vardavas, O. von Stackelberg, M. Gaga, E.S. of Radiology (ESR) and the European Respiratory Society (ERS). "ESR/ERS statement paper on lung cancer screening", European Respiratory Journal 2020;55. Abstract/PDF DOI PMID 32051182

  5. H.J. de Koning, C.M. van der Aalst, P.A. de Jong, E.T. Scholten, K. Nackaerts, M.A. Heuvelmans, J.-W.J. Lammers, C. Weenink, U. Yousaf-Khan, N. Horeweg, S. van 't Westeinde, M. Prokop, W.P. Mali, F.A.A. Mohamed Hoesein, P.M.A. van Ooijen, J.G.J.V. Aerts, M.A. den Bakker, E. Thunnissen, J. Verschakelen, R. Vliegenthart, J.E. Walter, K. Ten Haaf, H.J.M. Groen and M. Oudkerk. "Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial", New England Journal of Medicine 2020;382:503-513. Abstract/PDF DOI PMID 31995683

  6. I. Olaciregui-Ruiz, I. Torres-Xirau, J. Teuwen, U.A. 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/PDF DOI

Papers in conference proceedings

  1. A. Hering and S. Heldmann. "mlVIRNET: Improved Deep Learning Registration Using a Coarse to Fine Approach to Capture all Levels of Motion", in: Bildverarbeitung für die Medizin 2020, 2020, page 175. Abstract/PDF DOI

  2. C. Mercan, G. Reijnen-Mooij, D.T. Martin, J. Lotz, N. Weiss, M. van Gerven and F. Ciompi. "Virtual staining for mitosis detection in Breast Histopathology", in: IEEE International Symposium on Biomedical Imaging, 2020. Abstract/PDF

  3. K. Michielsen, N. Moriakov, J. Teuwen and I. Sechopoulos. "Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis", in: CT Meeting, 2020.

  4. N. Moriakov, J. Adler and J. Teuwen. "Kernel of CycleGAN as a principal homogeneous space", in: International Conference on Learning Representations, 2020. Abstract/PDF URL


  1. 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", in: ISMRM Benelux, 2020. Abstract


  1. M. Meijs. "Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA", PhD thesis, Radboud University, Nijmegen, 2020. Abstract/PDF