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Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation.

, , , , , , , , , and . MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 470-479. Springer, (2020)

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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning., , , , , , , , , and 37 other author(s). CoRR, (2021)Exploring Deep Registration Latent Spaces., , , , , , , , , and 1 other author(s). DART/FAIR@MICCAI, volume 12968 of Lecture Notes in Computer Science, page 112-122. Springer, (2021)Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels., , , , , , , , and . MICCAI (Challenges), volume 12587 of Lecture Notes in Computer Science, page 87-93. Springer, (2020)Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution., , , , , , and . CoRR, (2020)Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation., , , , , , , , , and . MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 470-479. Springer, (2020)Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature., , , , , , , and . IWBBIO (1), volume 11465 of Lecture Notes in Computer Science, page 462-474. Springer, (2019)Weakly Supervised Pan-Cancer Segmentation Tool., , , , , , , , , and 1 other author(s). MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 248-256. Springer, (2021)U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets., , , , , , , , , and 2 other author(s). MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 310-319. Springer, (2019)COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures., , , , , , , , , and 2 other author(s). IEEE ACM Trans. Comput. Biol. Bioinform., 19 (6): 3317-3331 (2022)Deep learning-based methods for 3D medical image registration. (Méthodes d'apprentissage profond pour le recalage 3d d'images médicales).. University of Paris-Saclay, France, (2021)