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An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques., , , and . NeuroImage, 46 (1): 73-86 (2009)Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis., , , , , , , , , and 2 other author(s). NeuroImage, 180 (Part): 632-645 (2018)A constrained coefficient ica algorithm for group difference enhancement., , , , , , and . ICASSP, page 593-596. IEEE, (2008)Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network., , , , and . PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 157-167. Springer, (2021)Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia., , , , , , , , , and 8 other author(s). EMBC, page 4021-4026. IEEE, (2016)Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm., , , , , , , and . Signal Processing Systems, 90 (2): 259-271 (2018)Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm., , , , , , , and . MLSP, page 1-6. IEEE, (2015)Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components., , , , , , and . MLSP, page 1-6. IEEE, (2017)Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches., , , , and . EMBC, page 1026-1029. IEEE, (2014)Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection., , , , , , , and . EMBC, page 3889-3892. IEEE, (2014)