| 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 | 1513 | 2018 |
| 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 | 1031 | 2017 |
| 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 | 1022 | 2016 |
| A deep learning framework for unsupervised affine and deformable image registration BD De Vos, FF Berendsen, MA Viergever, H Sokooti, M Staring, I Išgum Medical image analysis 52, 128-143, 2019 | 769 | 2019 |
| Deep MR to CT synthesis using unpaired data JM Wolterink, AM Dinkla, MHF Savenije, PR Seevinck, CAT van den Berg, ... Simulation and Synthesis in Medical Imaging: Second International Workshop …, 2017 | 692 | 2017 |
| 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 | 530 | 2017 |
| 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 | 489 | 2009 |
| Nonrigid image registration using multi-scale 3D convolutional neural networks H Sokooti, B De Vos, F Berendsen, BPF Lelieveldt, I Išgum, M Staring Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 423 | 2017 |
| Deep learning for multi-task medical image segmentation in multiple modalities P Moeskops, JM Wolterink, BHM Van Der Velden, KGA Gilhuijs, T Leiner, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 416 | 2016 |
| State-of-the-art deep learning in cardiovascular image analysis G Litjens, F Ciompi, JM Wolterink, BD de Vos, T Leiner, J Teuwen, I Išgum JACC: Cardiovascular imaging 12 (8 Part 1), 1549-1565, 2019 | 336 | 2019 |
| 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 | 298 | 2016 |
| Iterative fully convolutional neural networks for automatic vertebra segmentation and identification N Lessmann, B Van Ginneken, PA De Jong, I Išgum Medical image analysis 53, 142-155, 2019 | 257 | 2019 |
| Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions N Lessmann, B van Ginneken, M Zreik, PA de Jong, BD de Vos, ... IEEE transactions on medical imaging 37 (2), 615-625, 2017 | 240 | 2017 |
| A recurrent CNN for automatic detection and classification of coronary artery plaque and stenosis in coronary CT angiography M Zreik, RW Van Hamersvelt, JM Wolterink, T Leiner, MA Viergever, ... IEEE transactions on medical imaging 38 (7), 1588-1598, 2018 | 239 | 2018 |
| Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis M Zreik, N Lessmann, RW van Hamersvelt, JM Wolterink, M Voskuil, ... Medical image analysis 44, 72-85, 2018 | 223 | 2018 |
| Machine learning in cardiovascular magnetic resonance: basic concepts and applications T Leiner, D Rueckert, A Suinesiaputra, B Baeßler, R Nezafat, I Išgum, ... Journal of Cardiovascular Magnetic Resonance 21 (1), 61, 2019 | 215 | 2019 |
| 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 | 202 | 2010 |
| Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier JM Wolterink, RW van Hamersvelt, MA Viergever, T Leiner, I Išgum Medical image analysis 51, 46-60, 2019 | 188 | 2019 |
| Deep learning for automatic calcium scoring in CT: validation using multiple cardiac CT and chest CT protocols SGM van Velzen, N Lessmann, BK Velthuis, IEM Bank, ... Radiology 295 (1), 66-79, 2020 | 183 | 2020 |
| 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 | 182 | 2011 |
Max ViergeverProfessor of Medical Imaging, University Medical Center Utrecht在 isi.uu.nl 的电子邮件经过验证
