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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)

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An effective decoupling method for matrix optimization and its application to the ICA problem., , , and . ICASSP, page 1885-1888. IEEE, (2012)Flexible complex ICA of fMRI data., , , , and . ICASSP, page 2050-2053. IEEE, (2010)De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data., , and . Pattern Recognit., 45 (6): 2050-2063 (2012)General Non-Orthogonal Constrained ICA., , , and . IEEE Trans. Signal Process., 62 (11): 2778-2786 (2014)An Emergency Response UAV Surveillance System., , , , , , and . AMIA, AMIA, (2006)Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning., , and . WACV, page 1414-1422. IEEE Computer Society, (2018)Detection and recognition of 3D targets in panchromatic gray scale imagery using a biologically-inspired algorithm., , and . AIPR, page 1-6. IEEE Computer Society, (2009)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)Complex-valued analysis and visualization of fMRI data for event-related and block-design paradigms., , and . MLSP, page 1-6. IEEE, (2012)Point Selection Strategies for Lepp-Based Refinement Algorithms and New (Non-Delaunay) Lepp-Based Algorithms., and . SCCC, page 98-101. IEEE Computer Society, (2014)