most cited

Accepted or to appear

Papers in international journals

  1. 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 Express.

  2. 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.

  3. 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. Abstract DOI PMID 28986629

  4. 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. Abstract/PDF DOI arXiv

  5. 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.

  6. W. Venderink, M. de Rooij, M.J. Sedelaar, H.J. Huisman and J.J. Futterer. "Elastic versus rigid image registration in MRI-TRUS fusion prostate biopsy: a systematic review and meta-analysis", European Urology Focus. DOI

Papers in conference proceedings

  1. 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. Abstract/PDF

  2. 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.

  3. 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. Abstract/PDF

  4. 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. Abstract/PDF

  5. 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. Abstract

  6. 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. Abstract

  7. 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: Medical Imaging.

  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.

  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. Abstract


Papers in international journals

  1. 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

  2. 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

  3. 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

  4. 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


  1. 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


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

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