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Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease., , , , , , , , , и 6 other автор(ы). NeuroImage, (2022)Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering., , , , , , , , , и 18 other автор(ы). CoRR, (2023)A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients., , , , , , , , , и 18 other автор(ы). NeuroImage, (2017)Evaluating Cognitive Relationships with Resting-State and Task-driven Blood Oxygen Level-Dependent Variability., , , , , и . J. Cogn. Neurosci., 33 (2): 279-302 (2021)Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease., , , , , , , , , и 21 other автор(ы). Brain Connect., 11 (3): 239-249 (2021)Predicting a multi-parametric probability map of active tumor extent using random forests., , , , , , , , , и 4 other автор(ы). EMBC, стр. 6478-6481. IEEE, (2013)Gaussian Processes with optimal kernel construction for neuro-degenerative clinical onset prediction., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105750G. SPIE, (2018)Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers., , , , , , , и . CoRR, (2024)