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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Context Aware 3D CNNs for Brain Tumor Segmentation., , , , , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 299-310. Springer, (2018)Modelling and Simulating Extreme Opinion Diffusion., and . ICAART (Revised Selected Papers), volume 11352 of Lecture Notes in Computer Science, page 79-104. Springer, (2018)GHOST: Graph-based higher-order similarity transformation for classification., , , and . Pattern Recognit., (2024)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)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)A Logical Approach to Extreme Opinion Diffusion., and . ICAART (2), page 17-28. SciTePress, (2018)AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia., , , , , , , , , and 21 other author(s). 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)High Dimensional Graph Theoretical Approaches for Various Omics Data. (Approches de théorie des graphes d'ordre supérieur pour diverses données omiques).. University of Paris-Saclay, France, (2021)