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Dynamic Generative Model of the Human Brain in Resting-State., , , , and . COMPLEX NETWORKS, volume 689 of Studies in Computational Intelligence, page 1271-1283. Springer, (2017)Uncovering multi-site identifiability based on resting-state functional connectomes., , , , and . NeuroImage, (2019)Heritability Estimation of Reliable Connectomic Features., , , , , , , , , and . CNI@MICCAI, volume 11083 of Lecture Notes in Computer Science, page 58-66. Springer, (2018)Investigating dynamical information transfer in the brain following a TMS pulse: Insights from structural architecture., , , and . EMBC, page 5396-5399. IEEE, (2015)Tracking Dynamic Interactions Between Structural and Functional Connectivity: A TMS/EEG-dMRI Study., , , , , , , , , and . Brain Connectivity, 7 (2): 84-97 (2017)Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes., , , , , , , , and . GRAIL/Beyond-MIC@MICCAI, volume 11044 of Lecture Notes in Computer Science, page 74-82. Springer, (2018)Mapping the functional connectome traits of levels of consciousness., , , , , , , , , and 1 other author(s). NeuroImage, (2017)Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model., , , , , , , , , and 1 other author(s). ISBI, page 6-9. IEEE, (2018)