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Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation., , , , , , , , и . MIDL, том 172 из Proceedings of Machine Learning Research, стр. 1413-1429. PMLR, (2022)Statistical Analysis of Structural Brain Connectivity., , , , , , , , , и . MICCAI (2), том 6362 из Lecture Notes in Computer Science, стр. 101-108. Springer, (2010)The structural disconnectome: A pathology-sensitive extension of the structural connectome., , , , , , , и . ISBI, стр. 366-370. IEEE, (2017)Heritability of connectivity and disconnectivity of the brain in a population-based study., , , , , , , и . ISBI, стр. 349-353. IEEE, (2017)Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset., , , , , и . MLMI@MICCAI, том 11046 из Lecture Notes in Computer Science, стр. 205-213. Springer, (2018)Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation., , , , , , , и . CoRR, (2022)Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021., , , , , , , , , и 39 other автор(ы). CoRR, (2022)Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration., , , , , , и . CoRR, (2020)When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans., , , , , , и . CoRR, (2020)Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks., , , , , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 710-719. Springer, (2020)