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Robyn L Miller

Showing results (1-10 of 72) with videos related to

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Plos One|February 14, 2017
Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivityMaziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Plos One|December 12, 2019
Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measuresRobyn L Miller, Godfrey Pearlson, Vince D Calhoun
Neuroimage|December 9, 2014
Mutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on genderMaziar Yaesoubi, 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 9, 2015
Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patientsRobyn L Miller, Maziar Yaesoubi, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|September 26, 2025
Frequency-Aware Interpretable Deep Learning Framework for Alzheimer's Disease Classification Using rs-fMRIYutong Gao, Robyn L Miller, Vince D Calhoun
IEEE Signal Processing Letters|December 27, 2016
Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy ControlsRobyn L Miller, Maziar Yaesoubi, 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 3, 2025
Generative Forecasting of Brain Activity Enhances Alzheimer's Classification and InterpretationYutong Gao, Vince D Calhoun, Robyn L Miller
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
Comparison of Energy Signals from the 4D DWT of Resting State FMRI Data Obtained from a Study on SchizophreniaMichael Weeks, Vince D Calhoun, Robyn L Miller
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
Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM ClassifiersYutong Gao, Vince D Calhoun, Robyn L Miller
Arxiv|November 22, 2024
GENERATIVE FORECASTING OF BRAIN ACTIVITY ENHANCES ALZHEIMER'S CLASSIFICATION AND INTERPRETATIONYutong Gao, Vince D Calhoun, Robyn L Miller
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
Plos One|February 14, 2017
Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivityMaziar Yaesoubi, Robyn L Miller, Vince D Calhoun
Plos One|December 12, 2019
Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measuresRobyn L Miller, Godfrey Pearlson, Vince D Calhoun
Neuroimage|December 9, 2014
Mutually temporally independent connectivity patterns: a new framework to study the dynamics of brain connectivity at rest with application to explain group difference based on genderMaziar Yaesoubi, 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 9, 2015
Higher dimensional analysis shows reduced dynamism of time-varying network connectivity in schizophrenia patientsRobyn L Miller, Maziar Yaesoubi, Vince D Calhoun
Biorxiv : the Preprint Server for Biology|September 26, 2025
Frequency-Aware Interpretable Deep Learning Framework for Alzheimer's Disease Classification Using rs-fMRIYutong Gao, Robyn L Miller, Vince D Calhoun
IEEE Signal Processing Letters|December 27, 2016
Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy ControlsRobyn L Miller, Maziar Yaesoubi, 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 3, 2025
Generative Forecasting of Brain Activity Enhances Alzheimer's Classification and InterpretationYutong Gao, Vince D Calhoun, Robyn L Miller
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
Comparison of Energy Signals from the 4D DWT of Resting State FMRI Data Obtained from a Study on SchizophreniaMichael Weeks, Vince D Calhoun, Robyn L Miller
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
Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM ClassifiersYutong Gao, Vince D Calhoun, Robyn L Miller
Arxiv|November 22, 2024
GENERATIVE FORECASTING OF BRAIN ACTIVITY ENHANCES ALZHEIMER'S CLASSIFICATION AND INTERPRETATIONYutong Gao, Vince D Calhoun, Robyn L Miller
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