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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.
Biorxiv : the Preprint Server for Biology|April 2, 2024
Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning ArchitecturesCharles A Ellis, Martina Lapera Sancho, Robyn L Miller, et al.
Plos One|May 20, 2024
A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivityReihaneh Hassanzadeh, Anees Abrol, Godfrey Pearlson, et al.
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