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D Calhoun

Showing results (151-160 of 1,447) with videos related to

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Frontiers in Neuroscience|October 15, 2019
Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in SchizophreniaSuchita Bhinge, Qunfang Long, Vince D Calhoun, 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 8, 2009
Extended time-frequency Granger causality for evaluation of functional network connectivity in event-related FMRI dataM Havlicek, J Jan, V D Calhoun, et al.
Biorxiv : the Preprint Server for Biology|February 13, 2023
A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity AnalysisCharles A Ellis, Robyn L Miller, Vince D Calhoun
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
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram DataCharles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|October 10, 2024
A Telescopic Independent Component Analysis on Functional Magnetic Resonance Imaging Data SetShiva Mirzaeian, Ashkan Faghiri, Vince D Calhoun, et al.
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 Calhoun
Annual 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 Explanations<sup></sup>Charles A Ellis, Robyn L Miller, Vince D Calhoun
Annual 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 Calhoun
Annual 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 Calhoun
Biorxiv : 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.
Pageof 145

Showing results (151-160 of 1,447) with videos related to

Sort By:
Pageof 145
Frontiers in Neuroscience|October 15, 2019
Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in SchizophreniaSuchita Bhinge, Qunfang Long, Vince D Calhoun, 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 8, 2009
Extended time-frequency Granger causality for evaluation of functional network connectivity in event-related FMRI dataM Havlicek, J Jan, V D Calhoun, et al.
Biorxiv : the Preprint Server for Biology|February 13, 2023
A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity AnalysisCharles A Ellis, Robyn L Miller, Vince D Calhoun
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
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram DataCharles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|October 10, 2024
A Telescopic Independent Component Analysis on Functional Magnetic Resonance Imaging Data SetShiva Mirzaeian, Ashkan Faghiri, Vince D Calhoun, et al.
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 Calhoun
Annual 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 Explanations<sup></sup>Charles A Ellis, Robyn L Miller, Vince D Calhoun
Annual 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 Calhoun
Annual 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 Calhoun
Biorxiv : 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.
Pageof 145