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Data Visualization in the Neurosciences: Overcoming the Curse of Dimensionality, , and . Neuron, 74 (4): 603 - 608 (2012)The impact of T1 versus EPI spatial normalization templates for fMRI data analyses., , , , , , , , and . Human brain mapping, 38 (11): 5331--5342 (November 2017)Enforcing Co-expression in Multimodal Regression Framework., , and . PSB, page 96-107. (2017)FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics., , , and . IEEE Trans. Med. Imaging, 37 (8): 1761-1774 (2018)Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients., , , and . PRNI, page 1-4. IEEE, (2014)Complex ICA for fMRI analysis: performance of several approaches., and . ICASSP (2), page 717-720. IEEE, (2003)Accurate classification of schizophrenia patients based on novel resting-state fMRI features., , and . EMBC, page 6691-6694. IEEE, (2014)Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks., , , and . NeuroImage, (2017)Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis., , , and . NeuroImage, (2014)An approach to directly link ICA and seed-based functional connectivity: Application to schizophrenia., , , , and . NeuroImage, (2018)