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Brain functional connectivity analysis based on multi-graph fusion., , , , , and . Medical Image Anal., (2021)A unified multi-level spectral-temporal feature learning framework for patient-specific seizure onset detection in EEG signals., , , and . Knowl. Based Syst., (2020)Multi-graph Fusion for Functional Neuroimaging Biomarker Detection., , , , , , and . IJCAI, page 580-586. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Joint hub identification for brain networks by multivariate graph inference., , , , , , , and . Medical Image Anal., (2021)Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification., , , , , , and . IEEE Trans. Medical Imaging, 40 (12): 3843-3855 (2021)A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks., , , , , , and . ISBI, page 1416-1419. IEEE, (2020)Factors Associated with Internet Addiction among Adolescents., , , and . Cyberpsy., Behavior, and Soc. Networking, 12 (5): 551-555 (2009)Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification., , , , and . Neuroinformatics, 12 (3): 455-469 (2014)Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks., , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 319-327. Springer, (2013)Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification., , , , , , , and . Neuroinformatics, 18 (1): 1-24 (2020)