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Robyn L Miller

Showing results (11-20 of 72) with videos related to

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Biorxiv : the Preprint Server for Biology|February 24, 2023
Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in SchizophreniaCharles A Ellis, Robyn L Miller, Vince D Calhoun
Informatics in Medicine Unlocked|April 10, 2023
Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approachesCharles A Ellis, Robyn L Miller, Vince D Calhoun
Frontiers in Psychiatry|March 18, 2024
Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophreniaCharles A Ellis, Robyn L Miller, Vince D Calhoun
Neuroimage. Reports|June 26, 2025
Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamicsCharles 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|September 10, 2022
A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNsCharles 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 11, 2021
Multiframe Evolving Dynamic Functional Network Connectivity Motifs (Evodfncs) from Continuity-Preserving Planar EmbeddingRobyn L Miller, Victor M Vergara, 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 11, 2021
A Method for Integrative Analysis of Local and Global Brain DynamicsRobyn L Miller, Victor M Vergara, Vince D Calhoun
Journal of Neuroscience Methods|November 18, 2017
Detection of relationships among multi-modal brain imaging meta-features via information flowRobyn L Miller, Victor M Vergara, Vince D Calhoun
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
Pageof 8

Showing results (11-20 of 72) with videos related to

Sort By:
Pageof 8
Biorxiv : the Preprint Server for Biology|February 24, 2023
Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in SchizophreniaCharles A Ellis, Robyn L Miller, Vince D Calhoun
Informatics in Medicine Unlocked|April 10, 2023
Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approachesCharles A Ellis, Robyn L Miller, Vince D Calhoun
Frontiers in Psychiatry|March 18, 2024
Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophreniaCharles A Ellis, Robyn L Miller, Vince D Calhoun
Neuroimage. Reports|June 26, 2025
Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamicsCharles 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|September 10, 2022
A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNsCharles 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 11, 2021
Multiframe Evolving Dynamic Functional Network Connectivity Motifs (Evodfncs) from Continuity-Preserving Planar EmbeddingRobyn L Miller, Victor M Vergara, 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 11, 2021
A Method for Integrative Analysis of Local and Global Brain DynamicsRobyn L Miller, Victor M Vergara, Vince D Calhoun
Journal of Neuroscience Methods|November 18, 2017
Detection of relationships among multi-modal brain imaging meta-features via information flowRobyn L Miller, Victor M Vergara, Vince D Calhoun
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
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