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Federated Analysis of Neuroimaging Data: A Review of the Field., , , , , , , , and . Neuroinformatics, 20 (2): 377-390 (2022)Decentralized Brain Age Estimation Using MRI Data., , , , , , , , and . Neuroinformatics, 20 (4): 981-990 (2022)Federation of Brain Age Estimation in Structural Neuroimaging Data., , , , , , and . EMBC, page 3854-3857. IEEE, (2021)Can recurrent models know more than we do?, , , , , , and . ICHI, page 243-247. IEEE, (2021)Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains., , , , , , , , , and 44 other author(s). Neuroinformatics, 21 (2): 287-301 (April 2023)Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis., , , , , , , , , and 12 other author(s). Neuroinformatics, 19 (4): 553-566 (2021)Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility., , , , , , , , , and 6 other author(s). Frontiers Neuroinformatics, (March 2023)Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry., , , , , and . ISBI, page 1-4. IEEE, (2023)Decentralized Mixed Effects Modeling in COINSTAC., , , , , , , and . Neuroinformatics, 22 (2): 163-175 (April 2024)The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models., , , , , , , , , and 10 other author(s). CoRR, (2023)