| Quantitative comparison of monte-carlo dropout uncertainty measures for multi-class segmentation R Camarasa, D Bos, J Hendrikse, P Nederkoorn, E Kooi, A Van Der Lugt, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 47 | 2020 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 45 | 2022 |
| Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021 CH Sudre, K Van Wijnen, F Dubost, H Adams, D Atkinson, F Barkhof, ... Medical Image Analysis 91, 103029, 2024 | 17 | 2024 |
| A quantitative comparison of epistemic uncertainty maps applied to multi-class segmentation R Camarasa, D Bos, J Hendrikse, P Nederkoorn, ME Kooi, A van der Lugt, ... arXiv preprint arXiv:2109.10702, 2021 | 17 | 2021 |
| UR-CarA-Net: a cascaded framework with uncertainty regularization for automated segmentation of carotid arteries on black blood MR images E Lavrova, Z Salahuddin, HC Woodruff, M Kassem, R Camarasa, ... Ieee Access 11, 26637-26651, 2023 | 4 | 2023 |
| Uncertainty-based segmentation of myocardial infarction areas on cardiac mr images R Camarasa, A Faure, T Crozier, D Bos, M de Bruijne Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 4 | 2021 |
| Segmentation of white matter hyperintensities with an ensemble of multi-dimensional convolutional gated recurrent units R Camarasa, C Doué, M de Bruijne, F Dubost Tech. Rep., 2018.[Online]. Available: https://wmh. isi. uu. nl/wp-content …, 2018 | 4 | 2018 |
| Burden of intracranial artery calcification in white patients with ischemic stroke BP Berghout, RYR Camarasa, DHK Van Dam-Nolen, A van der Lugt, ... European Stroke Journal, 23969873241239787, 2024 | 2 | 2024 |
| Nested star-shaped objects segmentation using diameter annotations R Camarasa, H Kervadec, ME Kooi, J Hendrikse, PJ Nederkoorn, D Bos, ... Medical image analysis 90, 102934, 2023 | 2 | 2023 |
| Differentiable boundary point extraction for weakly supervised star-shaped object segmentation R Camarasa, H Kervadec, D Bos, M de Bruijne International Conference on Medical Imaging with Deep Learning, 188-198, 2022 | 2 | 2022 |
| Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation M Zabihi, C Tangwiriyasakul, S Ingala, L Lorenzini, R Camarasa, ... International Workshop on Machine Learning in Medical Imaging, 325-334, 2023 | 1 | 2023 |
| Segmentation of Brain Structures with an Ensemble of Multi-Dimensional Convolutional Gated Recurrent Units R Camarasa, C Doué, M de Bruijne, F Dubost | | 2018 |
| Deep learning for carotid artery segmentation in stroke-at-risk patients E Lavrova, Z Salahuddin, HC Woodruff, M Kassem, R Camarasa, ... Quantitative neuroimaging with handcrafted and deep radiomics in …, 0 | | |
