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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)Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression., , и . MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 164-172. Springer, (2019)Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging., , , , и . MICCAI (3), том 8675 из Lecture Notes in Computer Science, стр. 257-264. Springer, (2014)Probabilistic Event Cascades for Alzheimer's disease., и . NIPS, стр. 3104-3112. (2012)Microstructural parameter estimation in vivo using diffusion MRI and structured prior information, , , , и . Magnetic Resonance in Medicine, 75 (4): 1787-1796 (мая 2015)Learning from multiple annotators for medical image segmentation., , , , , , , , , и 2 other автор(ы). Pattern Recognit., (июня 2023)Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study., , , , , , , , , и . NeuroImage, 32 (1): 388-399 (2006)A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal., , и . NeuroImage, (2019)Tract-oriented statistical group comparison of diffusion in sheet-like white matter., , , , , , , и . ISBI, стр. 1288-1291. IEEE, (2013)Regularized super-resolution for diffusion MRI., , и . ISBI, стр. 875-878. IEEE, (2008)