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Neuroimage|July 5, 2011
Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophreniaEduardo Castro, Manel Martínez-Ramón, Godfrey Pearlson, et al.
Frontiers in Human Neuroscience|March 1, 2012
A selective review of multimodal fusion methods in schizophreniaJing Sui, Qingbao Yu, Hao He, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Brain functional networks extraction based on fMRI artifact removal: Single subject and group approachesYuhui Du, Elena A Allen, Hao He, et al.
Human Brain Mapping|September 29, 2021
A deep learning based approach identifies regions more relevant than resting-state networks to the prediction of general intelligence from resting-state fMRIBruno Hebling Vieira, Julien Dubois, Vince D Calhoun, et al.
Brain Imaging and Behavior|September 15, 2018
Source-based morphometry reveals gray matter differences related to suicidal behavior in criminal offendersCarla L Harenski, Keith A Harenski, Vince D Calhoun, et al.
Neuroimage. Clinical|June 22, 2020
Identifying commonality and specificity across psychosis sub-groups via classification based on features from dynamic connectivity analysisYuhui Du, Hui Hao, Shuhua Wang, et al.
Neuroinformatics|July 3, 2025
Sharing Neuroimaging Data with Squirrel - A Relational Data Format to Store Raw to Analyzed Data and Everything in BetweenGregory A Book, Vince D Calhoun, Michael C Stevens, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Neuroimage|September 9, 2024
Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophreniaYing Xing, Godfrey D Pearlson, Peter Kochunov, et al.
Frontiers in Neuroimaging|August 9, 2023
A deep residual model for characterization of 5D spatiotemporal network dynamics reveals widespread spatiodynamic changes in schizophreniaBehnam Kazemivash, Theo G M van Erp, Peter Kochunov, et al.
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