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Accurate classification of schizophrenia patients based on novel resting-state fMRI features.

, , and . EMBC, page 6691-6694. IEEE, (2014)

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The impact of T1 versus EPI spatial normalization templates for fMRI data analyses., , , , , , , , and . Human brain mapping, 38 (11): 5331--5342 (November 2017)Data Visualization in the Neurosciences: Overcoming the Curse of Dimensionality, , and . Neuron, 74 (4): 603 - 608 (2012)Complex ICA for fMRI analysis: performance of several approaches., and . ICASSP (2), page 717-720. IEEE, (2003)Higher dimensional fMRI connectivity dynamics show reduced dynamism in schizophrenia patients., , , and . PRNI, page 1-4. IEEE, (2014)Accurate classification of schizophrenia patients based on novel resting-state fMRI features., , and . EMBC, page 6691-6694. IEEE, (2014)Discovery and Replication of Time-Resolved Functional Network Connectivity Differences in Adolescence and Adulthood in over 50K fMRI Datasets., and . EMBC, page 1855-1858. IEEE, (2022)Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children., , , and . EMBC, page 251-254. IEEE, (2022)Explainable Sleep Stage Classification with Multimodal Electrophysiology Time-series*., , , , , and . EMBC, page 2363-2366. IEEE, (2021)Evidence for Transcranial Magnetic Stimulation Induced Functional Connectivity Oscillations in the Brain., , , , , and . EMBC, page 1407-1411. IEEE, (2021)Deep learning in resting-state fMRI*., , , and . EMBC, page 3965-3969. IEEE, (2021)