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Robyn L Miller

Showing results (41-50 of 72) with videos related to

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IEEE Transactions on Bio-Medical Engineering|August 20, 2016
A Method for Intertemporal Functional-Domain Connectivity Analysis: Application to Schizophrenia Reveals Distorted Directional Information FlowRobyn L Miller, Victor Manuel Vergara, David B Keator, et al.
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
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|April 2, 2024
Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning ArchitecturesCharles A Ellis, Martina Lapera Sancho, Robyn L Miller, et al.
Frontiers in Neuroscience|September 22, 2018
Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and SimulationsRobyn L Miller, Anees Abrol, Tulay Adali, et al.
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
An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network ConnectivityCharles A Ellis, Mohammad S E Sendi, Robyn L Miller, et al.
Frontiers in Neuroscience|August 12, 2022
Two-step clustering-based pipeline for big dynamic functional network connectivity dataMohammad S E Sendi, David H Salat, Robyn L Miller, et al.
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 two-step clustering-based pipeline for big dynamic functional network connectivity dataMohammad S E Sendi, Robyn L Miller, David H Salat, et al.
Frontiers in Systems Neuroscience|July 15, 2014
Preserving subject variability in group fMRI analysis: performance evaluation of GICA vs. IVAAndrew M Michael, Mathew Anderson, Robyn L Miller, et al.
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
Multimodal based classification of schizophrenia patientsMustafa S Cetin, Jon M Houck, Victor M Vergara, et al.
Neuroimage. Clinical|July 15, 2017
A joint time-frequency analysis of resting-state functional connectivity reveals novel patterns of connectivity shared between or unique to schizophrenia patients and healthy controlsMaziar Yaesoubi, Robyn L Miller, Juan Bustillo, et al.
Pageof 8

Showing results (41-50 of 72) with videos related to

Sort By:
Pageof 8
IEEE Transactions on Bio-Medical Engineering|August 20, 2016
A Method for Intertemporal Functional-Domain Connectivity Analysis: Application to Schizophrenia Reveals Distorted Directional Information FlowRobyn L Miller, Victor Manuel Vergara, David B Keator, et al.
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
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|April 2, 2024
Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning ArchitecturesCharles A Ellis, Martina Lapera Sancho, Robyn L Miller, et al.
Frontiers in Neuroscience|September 22, 2018
Resting-State fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and SimulationsRobyn L Miller, Anees Abrol, Tulay Adali, et al.
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
An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network ConnectivityCharles A Ellis, Mohammad S E Sendi, Robyn L Miller, et al.
Frontiers in Neuroscience|August 12, 2022
Two-step clustering-based pipeline for big dynamic functional network connectivity dataMohammad S E Sendi, David H Salat, Robyn L Miller, et al.
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 two-step clustering-based pipeline for big dynamic functional network connectivity dataMohammad S E Sendi, Robyn L Miller, David H Salat, et al.
Frontiers in Systems Neuroscience|July 15, 2014
Preserving subject variability in group fMRI analysis: performance evaluation of GICA vs. IVAAndrew M Michael, Mathew Anderson, Robyn L Miller, et al.
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
Multimodal based classification of schizophrenia patientsMustafa S Cetin, Jon M Houck, Victor M Vergara, et al.
Neuroimage. Clinical|July 15, 2017
A joint time-frequency analysis of resting-state functional connectivity reveals novel patterns of connectivity shared between or unique to schizophrenia patients and healthy controlsMaziar Yaesoubi, Robyn L Miller, Juan Bustillo, et al.
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