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Robyn L Miller

Showing results (21-30 of 72) with videos related to

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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 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
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 Calhoun
Frontiers in Neuroinformatics|June 17, 2022
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography DataCharles 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|January 7, 2016
Large scale fusion of brain imaging modalities and features using Markov-style dynamics in a feature meta-spaceRobyn 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 12, 2023
Hyperlocal Spatial Flows in BOLD fMRI Expose Novel Brain-Based Correlates of SchizophreniaRobyn 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 12, 2023
A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis<sup></sup>Charles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|November 28, 2023
CROSS-SAMPLING RATE TRANSFER LEARNING FOR ENHANCED RAW EEG DEEP LEARNING CLASSIFIER PERFORMANCE IN MAJOR DEPRESSIVE DISORDER DIAGNOSISCharles A Ellis, Robyn L Miller, Vince D Calhoun
Computers in Biology and Medicine|May 21, 2023
Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairmentYutong Gao, Noah Lewis, Vince D Calhoun, et al.
Pageof 8

Showing results (21-30 of 72) with videos related to

Sort By:
Pageof 8
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
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 Calhoun
Frontiers in Neuroinformatics|June 17, 2022
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography DataCharles 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|January 7, 2016
Large scale fusion of brain imaging modalities and features using Markov-style dynamics in a feature meta-spaceRobyn 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 12, 2023
Hyperlocal Spatial Flows in BOLD fMRI Expose Novel Brain-Based Correlates of SchizophreniaRobyn 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 12, 2023
A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis<sup></sup>Charles A Ellis, Robyn L Miller, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|November 28, 2023
CROSS-SAMPLING RATE TRANSFER LEARNING FOR ENHANCED RAW EEG DEEP LEARNING CLASSIFIER PERFORMANCE IN MAJOR DEPRESSIVE DISORDER DIAGNOSISCharles A Ellis, Robyn L Miller, Vince D Calhoun
Computers in Biology and Medicine|May 21, 2023
Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairmentYutong Gao, Noah Lewis, Vince D Calhoun, et al.
Pageof 8