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Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data., , , , and . CISS, page 1-6. IEEE, (2019)Joint-IVA for identification of discriminating features in EEG: Application to a driving study., , , , , and . Biomed. Signal Process. Control., (2020)IVA using complex multivariate GGD: application to fMRI analysis., , , and . Multidimens. Syst. Signal Process., 31 (2): 725-744 (2020)Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis., , , , , and . ICASSP, page 2581-2585. IEEE, (2018)Adaptive Constrained Independent Vector Analysis: An Effective Solution for Analysis of Large-Scale Medical Imaging Data., , , and . IEEE J. Sel. Top. Signal Process., 14 (6): 1255-1264 (2020)Taking the 4D Nature of fMRI Data Into Account Promises Significant Gains in Data Completion., , , and . IEEE Access, (2021)Inexact Proximal Conjugate Subgradient Algorithm for fMRI Data Completion., , and . EUSIPCO, page 1025-1029. IEEE, (2020)Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data., , , , , and . ICASSP, page 1471-1475. IEEE, (2022)Data-driven spatio-temporal dynamic brain connectivity analysis using fALFF: Application to sensorimotor task data., , , , and . CISS, page 200-205. IEEE, (2022)A graph theoretical approach for performance comparison of ICA for fMRI analysis., , , , and . CISS, page 1-6. IEEE, (2017)