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| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1614 | 2018 |
| Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011 | 496 | 2011 |
| Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation T Nair, D Precup, DL Arnold, T Arbel Medical image analysis 59, 101557, 2020 | 405 | 2020 |
| Longitudinal multiple sclerosis lesion segmentation: resource and challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148, 77-102, 2017 | 292 | 2017 |
| Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217, 2018 | 265 | 2018 |
| Evaluating intensity normalization on MRIs of human brain with multiple sclerosis M Shah, Y Xiao, N Subbanna, S Francis, DL Arnold, DL Collins, T Arbel Medical image analysis 15 (2), 267-282, 2011 | 211 | 2011 |
| Deep learning in medical image analysis and multimodal learning for clinical decision support MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ... | 194 | 2017 |
| Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion M Toews, T Arbel IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (9), 1567-1581, 2008 | 146 | 2008 |
| Feature-based morphometry: Discovering group-related anatomical patterns M Toews, W Wells III, DL Collins, T Arbel NeuroImage 49 (3), 2318-2327, 2010 | 142 | 2010 |
| Viewpoint selection by navigation through entropy maps T Arbel, FP Ferrie Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999 | 129 | 1999 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 121 | 2021 |
| Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis A Carass, S Roy, A Gherman, JC Reinhold, A Jesson, T Arbel, O Maier, ... Scientific reports 10 (1), 8242, 2020 | 111 | 2020 |
| Accounting for variance in machine learning benchmarks X Bouthillier, P Delaunay, M Bronzi, A Trofimov, B Nichyporuk, J Szeto, ... Proceedings of Machine Learning and Systems 3, 747-769, 2021 | 105 | 2021 |
| Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images R Karim, P Bhagirath, P Claus, RJ Housden, Z Chen, Z Karimaghaloo, ... Medical image analysis 30, 95-107, 2016 | 105 | 2016 |
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| IBIS: an OR ready open-source platform for image-guided neurosurgery S Drouin, A Kochanowska, M Kersten-Oertel, IJ Gerard, R Zelmann, ... International journal of computer assisted radiology and surgery 12, 363-378, 2017 | 96 | 2017 |
| Entropy-based gaze planning T Arbel, FP Ferrie Image and vision computing 19 (11), 779-786, 2001 | 92 | 2001 |
| BIAS: Transparent reporting of biomedical image analysis challenges L Maier-Hein, A Reinke, M Kozubek, AL Martel, T Arbel, M Eisenmann, ... Medical image analysis 66, 101796, 2020 | 84 | 2020 |
| Temporally consistent probabilistic detection of new multiple sclerosis lesions in brain MRI C Elliott, DL Arnold, DL Collins, T Arbel IEEE transactions on medical imaging 32 (8), 1490-1503, 2013 | 83 | 2013 |
