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De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data.

, , and . Pattern Recognition, 45 (6): 2050-2063 (2012)

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An ICA Framework for Integrating fMRI, ERP and Genetic Data.. ISBI, page 824-824. IEEE, (2009)Wavelet-based denoising and independent component analysis for improving multi-group inference in fMRI data., , , , , and . ISBI, page 456-459. IEEE, (2011)Capturing group variability using IVA: A simulation study and graph-theoretical analysis., , , and . ICASSP, page 3128-3132. IEEE, (2013)Complex ICA for fMRI analysis: performance of several approaches., and . ICASSP (2), page 717-720. IEEE, (2003)Phase correction and denoising for ICA of complex FMRI data., , , , and . ICASSP, page 497-500. IEEE, (2010)Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients., , , and . PRNI, page 1-4. IEEE, (2014)Complex-valued analysis and visualization of fMRI data for event-related and block-design paradigms., , and . MLSP, page 1-6. IEEE, (2012)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)A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function., , , , , and . NeuroImage, (2014)The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint., , , , , , , , , and 9 other author(s). NeuroImage, (2019)