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t-BNE: Tensor-based Brain Network Embedding., , , , , , and . SDM, page 189-197. SIAM, (2017)Federated Multi-view Learning for Private Medical Data Integration and Analysis., , , , , , and . ACM Trans. Intell. Syst. Technol., 13 (4): 61:1-61:23 (2022)DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection., , , , , , , , and . CoRR, (2018)Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study., , , , , , , , , and 10 other author(s). J. Am. Medical Informatics Assoc., 27 (7): 1007-1018 (2020)Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition., , , , , , , , , and 12 other author(s). NeuroImage, 45 (3): 645-655 (2009)Unbiased tensor-based morphometry: Improved robustness and sample size estimates for Alzheimer's disease clinical trials., , , , , , , , , and 2 other author(s). NeuroImage, (2013)Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease., , , , , , , , , and . ISBI, page 1088-1092. IEEE, (2016)Mapping Alzheimer's disease progression in 1309 MRI scans: Power estimates for different inter-scan intervals., , , , , , , , , and 5 other author(s). NeuroImage, 51 (1): 63-75 (2010)NeuroCave: A Web-based Immersive Visualization Platform for Exploring Connectome Datasets, , , , and . Network Neuroscience, (February 2018)Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health: Smartphone Keyboard and Accelerometer as Window into Brain Health., , , , , , , , , and 5 other author(s). CHI, page 326:1-326:15. ACM, (2023)