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Detecting Perfusion Pattern Based on the Background Low-Frequency Fluctuation in Resting-State Functional Magnetic Resonance Imaging Data and Its Influence on Resting-State Networks: An Iterative Postprocessing Approach., , , , , and . Brain Connectivity, 7 (10): 627-634 (2017)Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance., , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 86-93. Springer, (2015)Distinction between Perceptual and Attentional Processing in Working Memory Tasks: A Study of Phase-locked and Induced Oscillatory Brain Dynamics., , , , , , and . J. Cognitive Neuroscience, 19 (1): 158-172 (2007)Decomposition and evaluation of activity in multiple event-related trials., , , , and . BIBE, page 374-379. IEEE Computer Society, (2012)Predicting individual scores from resting state fMRI using partial least squares regression., , , , , , , , and . ISBI, page 1311-1314. IEEE, (2016)MCI Identification by Joint Learning on Multiple MRI Data., , , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 78-85. Springer, (2015)Decomposing dynamic functional connectivity onto phase-dependent eigenconnectivities using the Hilbert transform., , , and . ISBI, page 38-41. IEEE, (2015)Age-associated modulations of cerebral oscillatory patterns related to attention control., , , , and . NeuroImage, (2013)Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment., , , , , and . Neuroinformatics, 17 (4): 547-561 (2019)