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Entropy (Basel, Switzerland)|July 26, 2024
A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in SchizophreniaDavid Sutherland Blair, Robyn L Miller, Vince D CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier ExplanationsCharles A Ellis, Robyn L Miller, Vince D CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity AnalysisCharles A Ellis, Robyn L Miller, Vince D CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Towards a multimodal neuroimaging-based risk score for Alzheimer's disease by combining clinical and large N>37000 population dataElaheh Zendehrouh, Mohammad S E Sendi, Vince D CalhounBiorxiv : the Preprint Server for Biology|November 28, 2023
COMPLEXITY MEASURES OF PSYCHOTIC BRAIN ACTIVITY IN THE FMRI SIGNALQiang Li, Masoud Seraji, Vince D Calhoun, et al.Biorxiv : the Preprint Server for Biology|January 8, 2024
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram DataCharles A Ellis, Robyn L Miller, Vince D CalhounFrontiers in Neuroscience|August 19, 2015
Group-level component analyses of EEG: validation and evaluationRene J Huster, Sergey M Plis, Vince D CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.Anees Abrol, Zening Fu, Yuhui Du, et al.Neuroimage|September 21, 2011
Joint ICA of ERP and fMRI during error-monitoringBethany G Edwards, Vince D Calhoun, Kent A KiehlNeuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|August 19, 2004
Alcohol intoxication effects on simulated driving: exploring alcohol-dose effects on brain activation using functional MRIVince D Calhoun, James J Pekar, Godfrey D PearlsonPageof 127