Publications

Accepted or to appear

Papers in international journals

  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 PMID 32746093

  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. S. Kazeminia, C. Baur, A. Kuijper, B. van Ginneken, N. Navab, S. Albarqouni and A. Mukhopadhyay. "GANs for Medical Image Analysis", Artificial Intelligence in Medicine. Abstract arXiv

  4. N. Lessmann, C.I. Sanchez, L. Beenen, L.H. Boulogne, M. Brink, E. Calli, J.-P. Charbonnier, T. Dofferhoff, W.M. van Everdingen, P.K. Gerke, B. Geurts, H.A. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H.J. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E.M. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E.T. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken. "Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence", Radiology. Abstract/PDF DOI PMID 32729810

  5. B. Liefers, J.M. Colijn, C. Gonzalez-Gonzalo, T. Verzijden, J.J. Wang, N. Joachim, P. Mitchell, C.B. Hoyng, B. van Ginneken, C.C. Klaver and C.I. Sanchez. "A deep learning model for segmentation of geographic atrophy to study its long-term natural history", Ophthalmology. Abstract/PDF DOI arXiv PMID 32197912

  6. L. Maier-Hein, A. Reinke, M. Kozubek, A.L. Martel, T. Arbel, M. Eisenmann, A. Hanbuary, P. Jannin, H. Muller, S. Onogur, J. Saez-Rodriguez, B. van Ginneken, A. Kopp-Schneider and B. Landman. "BIAS: Transparent reporting of biomedical image analysis challenges", Medical Image Analysis. Abstract/PDF DOI arXiv

  7. M. Meijs, F.J.A. Meijer, M. Prokop, B. van Ginneken and R. Manniesing. "Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning", Medical Image Analysis. Abstract/PDF DOI

  8. 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

  9. H. Pinckaers, B. van Ginneken and G. Litjens. "Streaming convolutional neural networks for end-to-end learning with multi-megapixel images", IEEE Transactions on Pattern Analysis and Machine Intelligence. Abstract/PDF DOI PMID 32845835

  10. 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 the 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

  11. S. Schalekamp, M. Huisman, R.A. van Dijk, M.F. Boomsma, P.J. Freire Jorge, W.S. de Boer, G.J.M. Herder, M. Bonarius, O.A. Groot, E. Jong, A. Schreuder and C.M. Schaefer-Prokop. "Model-based Prediction of Critical Illness in Hospitalized Patients with COVID-19", Radiology:202723. Abstract/PDF DOI PMID 32787701

  12. A. Schreuder and C.M. Schaefer-Prokop. "Perifissural nodules: ready for application into lung cancer CT screening?", Annals of Translational Medicine. PDF DOI

  13. A. Schreuder, E.T. Scholten, B. van Ginneken and C. Jacobs. "Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?", Translational Lung Cancer Research. Abstract/PDF DOI

  14. 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

  15. 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

  16. 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


2020

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 2020;39:985-996. Abstract/PDF DOI PMID 31484111

  2. M. Amgad, E.S. Stovgaard, E. Balslev, J. Thagaard, W. Chen, S. Dudgeon, A. Sharma, J.K. Kerner, C. Denkert, Y. Yuan, K. AbdulJabbar, S. Wienert, P. Savas, L. Voorwerk, A.H. Beck, A. Madabhushi, J. Hartman, M.M. Sebastian, H.M. Horlings, J. Hudeček, F. Ciompi, D.A. Moore, R. Singh, E. Roblin, M.L. Balancin, M.-C. Mathieu, J.K. Lennerz, P. Kirtani, I.-C. Chen, J.P. Braybrooke, G. Pruneri, S. Demaria, S. Adams, S.J. Schnitt, S.R. Lakhani, F. Rojo, L. Comerma, S.S. Badve, M. Khojasteh, W.F. Symmans, C. Sotiriou, P. Gonzalez-Ericsson, K.L. Pogue-Geile, R.S. Kim, D.L. Rimm, G. Viale, S.M. Hewitt, J.M.S. Bartlett, F. Penault-Llorca, S. Goel, H.-C. Lien, S. Loibl, Z. Kos, S. Loi, M.G. Hanna, S. Michiels, M. Kok, T.O. Nielsen, A.J. Lazar, Z. Bago-Horvath, L.F.S. Kooreman, J.A.W.M. van der Laak, J. Saltz, B.D. Gallas, U. Kurkure, M. Barnes, R. Salgado and L.A.D. Cooper. "Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group", npj Breast Cancer 2020;6(1). PDF DOI

  3. 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

  4. M.C.A. Balkenhol, W. Vreuls, C.A.P. Wauters, S.J.J. Mol, J.A.W.M. van der Laak and P. Bult. "Histological subtypes in triple negative breast cancer are associated with specific information on survival", Annals of Diagnostic Pathology 2020;46:151490. Abstract/PDF DOI PMID 32179443

  5. 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

  6. W. Bulten, M. Balkenhol, J.-J.A. Belinga, A. Brilhante, A. Çakır, L. Egevad, M. Eklund, X. Farre, K. Geronatsiou, V. Molinie, G. Pereira, P. Roy, G. Saile, P. Salles, E. Schaafsma, J. Tschui, A.-M. Vos, B. Delahunt, H. Samaratunga, D.J. Grignon, A.J. Evans, D.M. Berney, C.-C. Pan, G. Kristiansen, J.G. Kench, J. Oxley, K.R.M. Leite, J.K. McKenney, P.A. Humphrey, S.W. Fine, T. Tsuzuki, M. Varma, M. Zhou, E. Comperat, D.G. Bostwick, K.A. Iczkowski, C. Magi-Galluzzi, J.R. Srigley, H. Takahashi, T. van der Kwast, H. van Boven, R. Vink, J. van der Laak, C. Hulsbergen-van der Kaa and G. Litjens. "Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists", Modern Pathology 2020. Abstract/PDF DOI PMID 32759979

  7. 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;21:233-241. Abstract/PDF DOI arXiv PMID 31926805

  8. 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

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

  10. 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

  11. G.E. Humpire Mamani, J. Bukala, E.T. Scholten, M. Prokop, B. van Ginneken and C. Jacobs. "Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning", Radiology: Artificial Intelligence 2020;2(4):e190102. Abstract/PDF DOI

  12. H.-U. Kauczor, A.-M. Baird, T.G. Blum, L. Bonomo, C. Bostantzoglou, O. Burghuber, B. Čepicka, 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;55:1900506. Abstract/PDF DOI PMID 32051182

  13. 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

  14. T. Kootstra, J. Teuwen, J. Goudsmit, T. Nijboer, M. Dodd and S. Van der Stigchel. "Machine learning-based classification of viewing behavior using a wide range of statistical oculomotor features", Journal of Vision 2020;20(9):1. Abstract/PDF DOI PMID 32876676

  15. Z. Kos, E. Roblin, R.S. Kim, S. Michiels, B.D. Gallas, W. Chen, K.K. van de Vijver, S. Goel, S. Adams, S. Demaria, G. Viale, T.O. Nielsen, S.S. Badve, W.F. Symmans, C. Sotiriou, D.L. Rimm, S. Hewitt, C. Denkert, S. Loibl, S.J. Luen, J.M.S. Bartlett, P. Savas, G. Pruneri, D.A. Dillon, M.C.U. Cheang, A. Tutt, J.A. Hall, M. Kok, H.M. Horlings, A. Madabhushi, J. van der Laak, F. Ciompi, A.-V. Laenkholm, E. Bellolio, T. Gruosso, S.B. Fox, J.C. Araya, G. Floris, J. Hudeček, L. Voorwerk, A.H. Beck, J. Kerner, D. Larsimont, S. Declercq, G.V. den Eynden, L. Pusztai, A. Ehinger, W. Yang, K. AbdulJabbar, Y. Yuan, R. Singh, C. Hiley, M. al Bakir, A.J. Lazar, S. Naber, S. Wienert, M. Castillo, G. Curigliano, M.-V. Dieci, F. Andre, C. Swanton, J. Reis-Filho, J. Sparano, E. Balslev, I.-C. Chen, E.I.S. Stovgaard, K. Pogue-Geile, K.R.M. Blenman, F. Penault-Llorca, S. Schnitt, S.R. Lakhani, A. Vincent-Salomon, F. Rojo, J.P. Braybrooke, M.G. Hanna, M.T. Soler-Monso, D. Bethmann, C.A. Castaneda, K. Willard-Gallo, A. Sharma, H.-C. Lien, S. Fineberg, J. Thagaard, L. Comerma, P. Gonzalez-Ericsson, E. Brogi, S. Loi, J. Saltz, F. Klaushen, L. Cooper, M. Amgad, D.A. Moore and R. Salgado. "Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer", npj Breast Cancer 2020;6(1). PDF DOI

  16. 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

  17. 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 2020;10:5492. Abstract/PDF DOI arXiv PMID 32218458

  18. 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

  19. A. Schreuder, C. Jacobs, E.T. Scholten, B. van Ginneken, C.M. Schaefer-Prokop and M. Prokop. "Typical CT Features of Intrapulmonary Lymph Nodes: A Review", Radiology: Cardiothoracic Imaging 2020;2(4):e190159. Abstract/PDF DOI

  20. 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 2020;8:e9166. Abstract/PDF DOI PMID 32685283

  21. E.F. Thee, D.T. Luttikhuizen, H.G. Lemij, F.D. Verbraak, C.I. Sanchez and C.C. Klaver. "Artificial intelligence for eye care", Nederlands Tijdschrift voor Geneeskunde 2020. Abstract URL

  22. 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

  23. 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 2020;39:2664-2675. Abstract/PDF DOI arXiv PMID 32550251

  24. 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


Preprints

  1. A. Sekuboyina, A. Bayat, M.E. Husseini, M. Loffler, M. Rempfler, J. Kukacka, G. Tetteh, A. Valentinitsch, C. Payer, D. Stern, M. Urschler, M. Chen, D. Cheng, N. Lessmann, Y. Hu, T. Wang, D. Yang, D. Xu, F. Ambellan, T. Amiranashvili, M. Ehlke, H. Lamecker, S. Lehnert, M. Lirio, N.P. de Olaguer, H. Ramm, M. Sahu, A. Tack, S. Zachow, T. Jiang, X. Ma, C. Angerman, X. Wang, Q. Wei, K. Brown, M. Wolf, A. Kirszenberg, E. Puybareauq, B.H. Menze and J.S. Kirschke. "VerSe: A Vertebrae Labelling and Segmentation Benchmark", arXiv:2001.09193 2020. Abstract

  2. S.C. Wetstein, C. Gonzalez-Gonzalo, G. Bortsova, B. Liefers, F. Dubost, I. Katramados, L. Hogeweg, B. van Ginneken, J.P. Pluim, M. de Bruijne, C.I. Sanchez and M. Veta. "Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors", arXiv:2006.06356 2020. Abstract/PDF arXiv

  3. S.K. Zhou, H. Greenspan, C. Davatzikos, J.S. Duncan, B. van Ginneken, A. Madabhushi, J.L. Prince, D. Rueckert and R.M. Summers. "A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises", arXiv:2008.09104 2020. Abstract/PDF


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, 2020, page 113141C. Abstract/PDF DOI

  2. 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, page 175. Abstract/PDF DOI

  3. 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 DOI

  4. K. Michielsen, N. Moriakov, J. Teuwen and I. Sechopoulos. "Deep Learning-based Initialization of Iterative Reconstruction for Breast Tomosynthesis", in: 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.

  5. 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

  6. Z. Swiderska-Chadaj, K. Nurzynska, G. Bartlomiej, K. Grunberg, L. van der Woude, M. Looijen-Salamon, A.E. Walts, T. Markiewicz, F. Ciompi and A. Gertych. "A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma", in: Medical Imaging, volume 11320 of Proceedings of the SPIE, 2020, page 113200D. Abstract/PDF DOI

  7. D. Tellez, D. Hoppener, C. Verhoef, D. Grunhagen, P. Nierop, M. Drozdzal, J. van der Laak and F. Ciompi. "Extending Unsupervised Neural Image Compression With Supervised Multitask Learning", in: Medical Imaging with Deep Learning, 2020. Abstract/PDF


Abstracts

  1. J.-M. Bokhorst, F. Ciompi, I. Zlobec, A. Lugli, M. Vieth, R. Kirsch, J. van der Laak and I. Nagtegaal. "Computer-assisted hot-spot selection for tumor budding assessment in colorectal cancer", in: European Congress of Pathology, 2020. Abstract

  2. J.-M. Bokhorst, I. Nagtegaal, I. Zlobec, A. Lugli, M. Vieth, R. Kirsch, J. van der Laak and F. Ciompi. "Deep learning based tumor bud detection in pan-cytokeratin stained colorectal cancer whole-slide images", in: European Congress of Pathology, 2020. Abstract

  3. C. Gonzalez-Gonzalo, S.C. Wetstein, G. Bortsova, B. Liefers, B. van Ginneken and C.I. Sanchez. "Are adversarial attacks an actual threat for deep learning systems in real-world eye disease screening settings?", in: #_European_Society_of_Retina_Specialists_#, 2020. Abstract URL

  4. B. Liefers, P. Taylor, C. Gonzalez-Gonzalo, A. Tufail and C.I. Sanchez. "Achieving expert level performance in quantifying 13 distinctive features of neovascular age-related macular degeneration on optical coherence tomography", in: #_European_Society_of_Retina_Specialists_#, 2020. Abstract URL

  5. C. Mercan, M. Balkenhol, J. v. d. Laak and F. Ciompi. "Grading nuclear pleomorphism in breast cancer using deep learning", in: European Congress of Pathology, 2020. Abstract

  6. 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

  7. C. de Vente, M. van Grinsven, S. De Zanet, A. Mosinska, R. Sznitman, C. Klaver and C.I. Sanchez. "Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography", in: Association for Research in Vision and Ophthalmology, 2020. Abstract


Theses

  1. M.C.A. Balkenhol. "Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence", PhD thesis, Radboud University, Nijmegen, 2020. Abstract/PDF URL

  2. T. de Boer. "A feasibility study for Deep Learning Image Guided Guidewire Tracking for Image-guided Interventions", Masters thesis, Radboud University, 2020. Abstract/PDF

  3. F. Khrystyna. "Brain MRI synthesis via pathology factorization and adversarial cycle-consistent learning for data augmentation", Masters thesis, MAIA Master Program, 2020. Abstract/PDF

  4. R. Kluge. "Pneumothorax Detection On Chest Radiographs: A Comparative Analysis Of Public Datasets, Deep Learning Architectures, And Domain Adaptation Via Iterative Self-Training", Masters thesis, Radboud University, 2020. Abstract/PDF

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

  6. J. Spronck. "Multi conditional lung nodule synthesis for improved nodule malignancy classification in Computed Tomography scans", Masters thesis, Universiteit van Amsterdam, 2020. Abstract/PDF URL