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Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia.

, , , , , , , , , , , , , , and . BIBE, page 417-424. IEEE, (2020)

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Path-Based Differential Algorithm and Graph Theory-Based Analysis on Neuroimaging Data.. Georgia Institute of Technology, Atlanta, GA, USA, (2024)base-search.net (ftgeorgiatech:oai:repository.gatech.edu:1853/73176).Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data., , , , and . EMBC, page 1-6. IEEE, (2023)Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment., , , , and . Sensors, 24 (3): 814 (February 2024)A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data., , and . EMBC, page 1-4. IEEE, (2023)A data-driven approach for stratifying psychotic and mood disorders subjects using structural magnitude resonance imaging data., , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia., , , , , , , , , and 5 other author(s). BIBE, page 417-424. IEEE, (2020)Relationship of Hemodynamic Delay and Sex Differences Among Adolescents Using Resting-state fMRI Data., , and . BHI, page 1-4. IEEE, (2022)