| 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 | 126 | 2017 |
| 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 | 110 | 2017 |
| 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 | 90 | 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 | 54 | 2019 |
| ConvNet-based localization of anatomical structures in 3-D medical images BD de Vos, JM Wolterink, PA de Jong, T Leiner, MA Viergever, I Išgum IEEE transactions on medical imaging 36 (7), 1470-1481, 2017 | 50 | 2017 |
| 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 | 48 | 2017 |
| 2D image classification for 3D anatomy localization: employing deep convolutional neural networks BD de Vos, JM Wolterink, PA de Jong, MA Viergever, I Išgum Medical imaging 2016: Image processing 9784, 97841Y, 2016 | 47 | 2016 |
| Multiethnic exome-wide association study of subclinical atherosclerosis P Natarajan, JC Bis, LF Bielak, AJ Cox, M Dörr, MF Feitosa, ... Circulation: Cardiovascular Genetics 9 (6), 511-520, 2016 | 44* | 2016 |
| An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework JM Wolterink, T Leiner, BD De Vos, JL Coatrieux, BM Kelm, S Kondo, ... Medical physics 43 (5), 2361-2373, 2016 | 26 | 2016 |
| Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks M Zreik, T Leiner, BD De Vos, RW van Hamersvelt, MA Viergever, I Išgum 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 40-43, 2016 | 22 | 2016 |
| Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT N Lessmann, I Išgum, AAA Setio, BD de Vos, F Ciompi, PA de Jong, ... Medical Imaging 2016: Computer-Aided Diagnosis 9785, 978511, 2016 | 19 | 2016 |
| Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT I Išgum, BD de Vos, JM Wolterink, D Dey, DS Berman, M Rubeaux, ... Journal of Nuclear Cardiology 25 (6), 2133-2142, 2018 | 12 | 2018 |
| Automatic coronary artery calcium scoring on radiotherapy planning CT scans of breast cancer patients: reproducibility and association with traditional cardiovascular risk factors SAM Gernaat, I Išgum, BD De Vos, RAP Takx, DA Young-Afat, N Rijnberg, ... PLoS One 11 (12), 2016 | 12 | 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), 1549-1565, 2019 | 10 | 2019 |
| Direct automatic coronary calcium scoring in cardiac and chest CT BD de Vos, JM Wolterink, T Leiner, PA de Jong, N Lessmann, I Išgum IEEE transactions on medical imaging 38 (9), 2127-2138, 2019 | 8 | 2019 |
| Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI J Sander, BD de Vos, JM Wolterink, I Išgum Medical Imaging 2019: Image Processing 10949, 1094919, 2019 | 5 | 2019 |
| Automatic segmentation of thoracic aorta segments in low-dose chest CT JMH Noothout, BD de Vos, JM Wolterink, I Išgum Medical Imaging 2018: Image Processing 10574, 105741S, 2018 | 5 | 2018 |
| Automatic slice identification in 3D medical images with a ConvNet regressor BD de Vos, MA Viergever, PA de Jong, I Išgum Deep Learning and Data Labeling for Medical Applications, 161-169, 2016 | 5 | 2016 |
| Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network J Šprem, BD de Vos, PA de Jong, MA Viergever, I Išgum Medical Imaging 2017: Image Processing 10133, 101330R, 2017 | 4 | 2017 |
| Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities HJ Kuijf, P Moeskops, BD de Vos, WH Bouvy, J de Bresser, GJ Biessels, ... Medical Imaging 2016: Image Processing 9784, 978421, 2016 | 3 | 2016 |
Ivana IsgumUniversity Professor of AI and Medical Imaging, Amsterdam University Medical CenterGeverifieerd e-mailadres voor amsterdamumc.nl
