| Automatic segmentation of MR brain images with a convolutional neural network P Moeskops, MA Viergever, AM Mendrik, LS De Vries, MJNL Benders, ... IEEE transactions on medical imaging 35 (5), 1252-1261, 2016 | 460 | 2016 |
| Multi-atlas-based segmentation with local decision fusion—application to cardiac and aortic segmentation in CT scans I Isgum, M Staring, A Rutten, M Prokop, MA Viergever, B Van Ginneken IEEE transactions on medical imaging 28 (7), 1000-1010, 2009 | 379 | 2009 |
| Generative adversarial networks for noise reduction in low-dose CT JM Wolterink, T Leiner, MA Viergever, I Išgum IEEE transactions on medical imaging 36 (12), 2536-2545, 2017 | 255 | 2017 |
| Deep MR to CT synthesis using unpaired data JM Wolterink, AM Dinkla, MHF Savenije, PR Seevinck, CAT van den Berg, ... International workshop on simulation and synthesis in medical imaging, 14-23, 2017 | 184 | 2017 |
| Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus EM van Rikxoort, I Isgum, Y Arzhaeva, M Staring, S Klein, MA Viergever, ... Medical image analysis 14 (1), 39-49, 2010 | 173 | 2010 |
| End-to-end unsupervised deformable image registration with a convolutional neural network BD de Vos, FF Berendsen, MA Viergever, M Staring, I Išgum Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 148 | 2017 |
| Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved? O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ... IEEE transactions on medical imaging 37 (11), 2514-2525, 2018 | 137 | 2018 |
| Nonrigid image registration using multi-scale 3D convolutional neural networks H Sokooti, B De Vos, F Berendsen, BPF Lelieveldt, I Išgum, M Staring International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 128 | 2017 |
| Deep learning for multi-task medical image segmentation in multiple modalities P Moeskops, JM Wolterink, BHM van der Velden, KGA Gilhuijs, T Leiner, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 121 | 2016 |
| CT-quantified emphysema in male heavy smokers: association with lung function decline FAAM Hoesein, B de Hoop, P Zanen, H Gietema, CLJJ Kruitwagen, ... Thorax 66 (9), 782-787, 2011 | 121 | 2011 |
| Identification of chronic obstructive pulmonary disease in lung cancer screening computed tomographic scans OM Mets, CFM Buckens, P Zanen, I Isgum, B van Ginneken, M Prokop, ... Jama 306 (16), 1775-1781, 2011 | 115 | 2011 |
| Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high … PC Jacobs, M Prokop, Y van der Graaf, MJ Gondrie, KJ Janssen, ... Atherosclerosis 209 (2), 455-462, 2010 | 114 | 2010 |
| Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks JM Wolterink, T Leiner, BD de Vos, RW van Hamersvelt, MA Viergever, ... Medical image analysis 34, 123-136, 2016 | 100 | 2016 |
| Coronary artery calcium can predict all-cause mortality and cardiovascular events on low-dose CT screening for lung cancer PC Jacobs, MJA Gondrie, Y van der Graaf, HJ de Koning, I Isgum, ... American Journal of Roentgenology 198 (3), 505-511, 2012 | 94 | 2012 |
| Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease I Išgum, A Rutten, M Prokop, B van Ginneken Medical physics 34 (4), 1450-1461, 2007 | 85 | 2007 |
| Genome-wide association study of coronary and aortic calcification implicates risk loci for coronary artery disease and myocardial infarction J van Setten, I Isgum, J Smolonska, S Ripke, PA de Jong, M Oudkerk, ... Atherosclerosis 228 (2), 400-405, 2013 | 79 | 2013 |
| Automatic coronary calcium scoring in low-dose chest computed tomography I Isgum, M Prokop, M Niemeijer, MA Viergever, B Van Ginneken IEEE transactions on medical imaging 31 (12), 2322-2334, 2012 | 76 | 2012 |
| Brain tissue volumes in preterm infants: prematurity, perinatal risk factors and neurodevelopmental outcome: a systematic review K Keunen, KJ Kersbergen, F Groenendaal, I Isgum, LS De Vries, ... The Journal of Maternal-Fetal & Neonatal Medicine 25 (sup1), 89-100, 2012 | 73 | 2012 |
| Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge I Išgum, MJNL Benders, B Avants, MJ Cardoso, SJ Counsell, EF Gomez, ... Medical image analysis 20 (1), 135-151, 2015 | 69 | 2015 |
| Brain volumes at term-equivalent age in preterm infants: imaging biomarkers for neurodevelopmental outcome through early school age K Keunen, I Išgum, BJM van Kooij, P Anbeek, IC van Haastert, ... The Journal of pediatrics 172, 88-95, 2016 | 67 | 2016 |
Max ViergeverProfessor of Medical Imaging, University Medical Center UtrechtGeverifieerd e-mailadres voor isi.uu.nl
