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Vince Calhoun

Showing results (31-40 of 230) with videos related to

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Biorxiv : the Preprint Server for Biology|February 6, 2026
Dynamic Co-Modulation (DyCoM): A Unified Operator Framework for Dynamic Connectivity in NeuroimagingSir-Lord Wiafe, Najme Soleimani, Vince Calhoun
Schizophrenia Research|July 17, 2012
Mentalizing in male schizophrenia patients is compromised by virtue of dysfunctional connectivity between task-positive and task-negative networksPritha Das, Vince Calhoun, Gin S Malhi
Biorxiv : the Preprint Server for Biology|February 9, 2026
Microstructural Disruption of the Forceps Minor in Schizophrenia: A Potential Clinical Imaging Biomarker Using Translational DTIQiang Li, Godfrey D Pearlson, Vince Calhoun
Journal of Neuroscience Methods|April 27, 2017
An information theory framework for dynamic functional domain connectivityVictor M Vergara, Robyn Miller, Vince Calhoun
Journal of Neuroscience Methods|November 22, 2016
A robust sparse-modeling framework for estimating schizophrenia biomarkers from fMRIKeith Dillon, Vince Calhoun, Yu-Ping Wang
Neuroimage|May 6, 2014
Bipolar and borderline patients display differential patterns of functional connectivity among resting state networksPritha Das, Vince Calhoun, Gin S Malhi
Imaging Neuroscience (Cambridge, Mass.)|March 13, 2026
Deep learning interpretability in neuroimaging: A comprehensive survey and methodological recommendationsMd Mahfuzur Rahman, Vince Calhoun, Sergey Plis
Journal of Neuroscience Methods|March 28, 2018
Editorial on special issue: Machine learning on MCIAlessia Sarica, Antonio Cerasa, Aldo Quattrone, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning in resting-state fMRI<sup></sup>Anees Abrol, Reihaneh Hassanzadeh, Sergey Plis, et al.
Biological Psychiatry|April 28, 2020
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and PromisesJing Sui, Rongtao Jiang, Juan Bustillo, et al.
Pageof 23

Showing results (31-40 of 230) with videos related to

Sort By:
Pageof 23
Biorxiv : the Preprint Server for Biology|February 6, 2026
Dynamic Co-Modulation (DyCoM): A Unified Operator Framework for Dynamic Connectivity in NeuroimagingSir-Lord Wiafe, Najme Soleimani, Vince Calhoun
Schizophrenia Research|July 17, 2012
Mentalizing in male schizophrenia patients is compromised by virtue of dysfunctional connectivity between task-positive and task-negative networksPritha Das, Vince Calhoun, Gin S Malhi
Biorxiv : the Preprint Server for Biology|February 9, 2026
Microstructural Disruption of the Forceps Minor in Schizophrenia: A Potential Clinical Imaging Biomarker Using Translational DTIQiang Li, Godfrey D Pearlson, Vince Calhoun
Journal of Neuroscience Methods|April 27, 2017
An information theory framework for dynamic functional domain connectivityVictor M Vergara, Robyn Miller, Vince Calhoun
Journal of Neuroscience Methods|November 22, 2016
A robust sparse-modeling framework for estimating schizophrenia biomarkers from fMRIKeith Dillon, Vince Calhoun, Yu-Ping Wang
Neuroimage|May 6, 2014
Bipolar and borderline patients display differential patterns of functional connectivity among resting state networksPritha Das, Vince Calhoun, Gin S Malhi
Imaging Neuroscience (Cambridge, Mass.)|March 13, 2026
Deep learning interpretability in neuroimaging: A comprehensive survey and methodological recommendationsMd Mahfuzur Rahman, Vince Calhoun, Sergey Plis
Journal of Neuroscience Methods|March 28, 2018
Editorial on special issue: Machine learning on MCIAlessia Sarica, Antonio Cerasa, Aldo Quattrone, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning in resting-state fMRI<sup></sup>Anees Abrol, Reihaneh Hassanzadeh, Sergey Plis, et al.
Biological Psychiatry|April 28, 2020
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and PromisesJing Sui, Rongtao Jiang, Juan Bustillo, et al.
Pageof 23