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Taxonomy of multimodal self-supervised representation learning., , , , , , , , и . CoRR, (2020)Prediction of Progression to Alzheimer's disease with Deep InfoMax., , , , , , и . BHI, стр. 1-5. IEEE, (2019)Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes., , , , , , , , , и . CoRR, (2022)Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations., , , , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 407-417. Springer, (2020)Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators., , , , , , и . WWW (Companion Volume), стр. 1138-1141. ACM, (2024)End-to-end learning of brain tissue segmentation from imperfect labeling., , , , , и . CoRR, (2016)Learning deep representations by mutual information estimation and maximization., , , , , , и . ICLR, OpenReview.net, (2019)End-to-end learning of brain tissue segmentation from imperfect labeling., , , , , и . IJCNN, стр. 3785-3792. IEEE, (2017)Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links., , , , , , , , , и 1 other автор(ы). NeuroImage, (января 2024)Learnt dynamics generalizes across tasks, datasets, and populations., , , , , и . CoRR, (2019)