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Radiomics and Artificial Intelligence Applied to Conventional MRI: Towards Personalized Treatment of Brain Tumors. (Radiomique et intelligence artificielle appliquées à l'imagerie IRM anatomique: vers un traitement personnalisé des tumeurs cérébrales).. University of Paris-Saclay, France, (2021)Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation., , , , , , , , , and 4 other author(s). Frontiers Comput. Neurosci., (2020)Cancer Gene Profiling through Unsupervised Discovery., , , , , , , , , and 2 other author(s). CoRR, (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)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)Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation., , , , , , , , , and . MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 470-479. Springer, (2020)Automatic Brain Tumor Segmentation with a Bridge-Unet Deeply Supervised Enhanced with Downsampling Pooling Combination, Atrous Spatial Pyramid Pooling, Squeeze-and-Excitation and EvoNorm., , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 253-266. Springer, (2021)Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution., , , , , , and . BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 327-339. Springer, (2020)Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution., , , , , , and . CoRR, (2020)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)