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Complex ICA for fMRI analysis: performance of several approaches., and . ICASSP (2), page 717-720. IEEE, (2003)Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients., , , and . PRNI, page 1-4. IEEE, (2014)Accurate classification of schizophrenia patients based on novel resting-state fMRI features., , and . EMBC, page 6691-6694. IEEE, (2014)Data Visualization in the Neurosciences: Overcoming the Curse of Dimensionality, , and . Neuron, 74 (4): 603 - 608 (2012)Volumetric BOLD fMRI simulation: from neurovascular coupling to multivoxel imaging., and . BMC Medical Imaging, (2012)Quality Map Thresholding for De-noising of Complex-Valued fMRI Data and Its Application to ICA of fMRI., , , , and . J. Signal Process. Syst., 65 (3): 497-508 (2011)Independent Vector Analysis for Gradient Artifact Removal in Concurrent EEG-fMRI Data., , , , and . IEEE Trans. Biomed. Eng., 62 (7): 1750-1758 (2015)A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation., , , , , , and . IEEE Trans. Signal Process., (2021)N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia., , , , , , , , , and 12 other author(s). IEEE Trans. Biomed. Eng., 67 (1): 110-121 (2020)An ICA Framework for Integrating fMRI, ERP and Genetic Data.. ISBI, page 824-824. IEEE, (2009)