Radboud Imaging Publications

most cited

Accepted or to appear

  1. 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: application to color fundus images", IEEE Transactions on Medical Imaging. Abstract/PDF DOI

  2. H.-U. Kauczor, A.-M. Baird, T.G. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. Čepicka, 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

  3. K. Murphy, H. Smits, A.J.G. Knoops, M.B.J.M. Korst, T. Samson, E.T. Scholten, S. Schalekamp, C.M. Schaefer-Prokop, R.H.H.M. Philipsen, A. Meijers, J. Melendez, B. van Ginneken and M. Rutten. "COVID-19 on the Chest Radiograph: A Multi-Reader Evaluation of an AI System", Radiology:201874. Abstract/PDF DOI PMID 32384019

  4. M. Prokop, W. van Everdingen, T. van Rees Vellinga, J. Quarles van Ufford, L. Stoger, L. Beenen, B. Geurts, H. Gietema, J. Krdzalic, C. Schaefer-Prokop, B. van Ginneken, M. Brink and COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. "CO-RADS - A categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation", Radiology:201473. Abstract/PDF DOI PMID 32339082

  5. A. Schreuder, C. Jacobs, E.T. Scholten, M. Prokop, B. van Ginneken, D.A. Lynch and C.M. Schaefer-Prokop. "Association between the number and size of intrapulmonary lymph nodes and chronic obstructive pulmonary disease severity", PeerJ;8:e9166. Abstract/PDF DOI

  6. I. Sechopoulos, J. Teuwen and R. Mann. "Artificial Intelligence for Breast Cancer Detection in Mammography: state of the art", Seminars in Cancer Biology. Abstract/PDF DOI PMID 32531273

  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. Abstract/PDF DOI PMID 32048038

  8. E. Sogancioglu, K. Murphy, E. Calli, E.T. Scholten, S. Schalekamp and B. Van Ginneken. "Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification", IEEE Access;8:94631-94642. Abstract/PDF DOI

  9. W. Xie, C. Jacobs, J.-P. Charbonnier and B. van Ginneken. "Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans", IEEE Transactions on Medical Imaging. Abstract/PDF DOI arXiv


2020

  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 2020;39:985-996. 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 2020;15:297-307. Abstract/PDF DOI PMID 31838643

  3. 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;65(6):065002. Abstract/PDF DOI PMID 31978921

  4. M. Caballo, D. Pangallo, R. Mann and I. Sechopoulos. "Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence.", Computers in Biology and Medicine 2020. Abstract DOI

  5. C. Chen, H.H.G. Hansen, G.A.G.M. Hendriks, J. Menssen, J.-Y. Lu and C.L. de Korte. "Point Spread Function Formation in Plane-Wave Imaging: A Theoretical Approximation in Fourier Migration.", IEEE transactions on ultrasonics, ferroelectrics, and frequency control 2020;67:296-307. Abstract/PDF DOI PMID 31581079

  6. 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 2020;98(4):368-377. Abstract/PDF DOI PMID 31773912

  7. J. Goudsmit and J. Teuwen. "Tussen data en theorie", Tijdschrift voor Toezicht 2020;11(1):48-53. PDF DOI

  8. S.S. Habib, S. Rafiq, S.M.A. Zaidi, R.A. Ferrand, J. Creswell, B. Van Ginneken, W.Z. Jamal, K.S. Azeemi, S. Khowaja and A. Khan. "Evaluation of computer aided detection of tuberculosis on chest radiography among people with diabetes in Karachi Pakistan.", Nature Scientific Reports 2020;10:6276. Abstract DOI PMID 32286389

  9. G.A.G.M. Hendriks, H.H.G. Hansen, C.L. De Korte and C. Chen. "Optimization of transmission and reconstruction parameters in angular displacement compounding using plane wave ultrasound.", Physics in medicine and biology 2020;65:085007. Abstract/PDF DOI PMID 32109889

  10. F. Heutink, V. Koch, B. Verbist, W. van der Woude, E. Mylanus, W. Huinck, I. Sechopoulos and M. Caballo. "Multi-Scale Deep Learning Framework for Cochlea Localization, Segmentation and Analysis on Clinical Ultra-High-Resolution CT Images.", Computer Methods and Programs in Biomedicine 2020. Abstract DOI

  11. 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

  12. M. Lago, I. Sechopoulos, F. Bochud and M. Eckstein. "Measurement of the useful field of view for single slices of different imaging modalities and targets", Journal of Medical Imaging 2020. Abstract DOI

  13. 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 2020;50:482-491. Abstract/PDF DOI PMID 31930429

  14. 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 PMID 32135486

  15. L. Oostveen, K. Boedeker, M. Brink, M. Prokop, F. de Lange and I. Sechopoulos. "Physical evaluation of an ultra-high-resolution CT scanner", European Radiology 2020. Abstract DOI

  16. M.S. Pourier, A.M.C. Mavinkurve-Groothuis, M.M. Dull, G. Weijers, J. Loonen, L. Bellersen, C.L. de Korte and L. Kapusta. "Myocardial 2D Strain During Long-Term (>5 Years) Follow-Up of Childhood Survivors of Acute Lymphoblastic Leukemia Treated With Anthracyclines.", The American journal of cardiology 2020. Abstract/PDF DOI PMID 32444028

  17. W. Sanderink, M. Caballo, L. Strobbe, W. Bult, P. and.Vreuls, D. Venderink, I. Sechopoulos, N. Karssemeijer and R. Mann. "Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers.", European Journal of Surgical Oncology 2020. Abstract DOI

  18. I. Sechopoulos and R.M. Mann. "Stand-alone artificial intelligence - The future of breast cancer screening?", The Breast 2020. Abstract DOI

  19. 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 2020;295(1):66-79. Abstract/PDF DOI PMID 32043947

  20. 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 2020;61:312-320. Abstract/PDF DOI PMID 31324132