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Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model.

, , , , , , , , , , , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 159-167. Springer, (2017)

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Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity., , , , , , , , , and . ISBI, page 126-130. IEEE, (2019)Convergence, preliminary findings and future directions across the four human connectome projects investigating mood and anxiety disorders., , , , , , , , , and 1 other author(s). NeuroImage, (2021)Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis., , , , , , and . Comp. in Bio. and Med., 41 (12): 1142-1155 (2011)Resting-state fMRI can reliably map neural networks in children., , , , , , , , , and 3 other author(s). NeuroImage, 55 (1): 165-175 (2011)Default-mode function and task-induced deactivation have overlapping brain substrates in children., , , , , and . NeuroImage, 41 (4): 1493-1503 (2008)Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model., , , , , , , , , and 5 other author(s). CoRR, (2017)Elucidating brain connectivity networks in major depressive disorder using classification-based scoring., , , , and . ISBI, page 246-249. IEEE, (2014)Characterizing white matter connectivity in major depressive disorder: Automated fiber quantification and maximum density paths., , , , , , and . ISBI, page 592-595. IEEE, (2014)Anxiety Modulates Insula Recruitment in Resting-State Functional Magnetic Resonance Imaging in Youth and Adults., , , and . Brain Connectivity, 1 (3): 245-254 (2011)The neural temporal dynamics of the intensity of emotional experience., , and . NeuroImage, 49 (2): 1699-1707 (2010)