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An improved deep network for tissue microstructure estimation with uncertainty quantification., , и . Medical Image Anal., (2020)Voxel-Level fMRI Analysis by Representation Learning and Deep Clustering for Alzheimer's Disease., , , , , , , и . ISBI, стр. 1-5. IEEE, (2023)Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects., , , , и . MICCAI (1), том 12901 из Lecture Notes in Computer Science, стр. 186-195. Springer, (2021)Comparison and Analyzation of Different Feature Parameters for Alzheimer's disease Identification., , , , , и . EMBC, стр. 845-848. IEEE, (2019)Super-Resolved q-Space deep learning with uncertainty quantification., , , , , и . Medical Image Anal., (2021)Knowledge transfer between brain lesion segmentation tasks with increased model capacity., , , , , и . Comput. Medical Imaging Graph., (2021)Multi-resolution 3D-HOG feature learning method for Alzheimer's Disease diagnosis., , , , , , и . Comput. Methods Programs Biomed., (2022)The value of color doppler ultrasonography combined with computed tomography angiography and magnetic resonance angiography in the preoperative quantification and classification of carotid body tumors: a retrospective analysis., , , , , и . BMC Medical Imaging, 24 (1): 10 (декабря 2024)Region-of-Interest based sparse feature learning method for Alzheimer's disease identification., , , , , и . Comput. Methods Programs Biomed., (2020)A Multi-scale Attention-based Convolutional Network for Identification of Alzheimer's Disease based on Hippocampal Subfields., , , , и . EMBC, стр. 2153-2156. IEEE, (2022)