Robyn L Miller (Robyn Miller)

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Venues

bioRxiv : the preprint server for biology

Human brain mapping

PloS one

Network neuroscience (Cambridge, Mass.)

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)

Cornell University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Jun 01 2019

United States

Assistant Professor :: Core Faculty

Georgia State University Jun 01 2019

United States

Assistant Professor :: Computer Science

Mind Research Network

United States

Assistant Professor of Translational Neuroscience

Los Alamos National Laboratory

United States

Metropolis Postdoctoral Fellow :: Center for Nonlinear Sciences and Computational and Statistical Sciences Group

Mind Research Network

United States

Research Scientist

Mind Research Network

United States

Postdoctoral Fellow :: Medical Image Analysis Laboratory

Cornell University

United States

Research and Teaching Assistant :: Mathematics

Education History

Cornell University

United States

PHD :: Mathematics

Cornell University

United States

MSC :: Mathematics

Publications

Charles A Ellis, Martina Lapera Sancho, Robyn L Miller, Vince D Calhoun
Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures. bioRxiv : the preprint server for biology (2024)
Krishna Pusuluri, Zening Fu, Robyn L Miller, Godfrey Pearlson, Peter Kochunov, Theo G M Van Erp, Armin Iraji, Vince D Calhoun
4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human brain mapping 45 (11) (2024)
Krishna Pusuluri, Zening Fu, Robyn L Miller, Godfrey Pearlson, Peter Kochunov, Theo G M Van Erp, Armin Iraji, Vince D Calhoun
4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human brain mapping 45 (11) (2024)
Charles A Ellis, Martina Lapera Sancho, Robyn L Miller, Vince D Calhoun
Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures. bioRxiv : the preprint server for biology (2024)
Krishna Pusuluri, Zening Fu, Robyn L Miller, Godfrey Pearlson, Peter Kochunov, Theo G M Van Erp, Armin Iraji, Vince D Calhoun
4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human brain mapping 45 (11) (2024)
Charles A Ellis, Martina Lapera Sancho, Robyn L Miller, Vince D Calhoun
Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures. bioRxiv : the preprint server for biology (2024)
Martina Lapera Sancho, Charles A Ellis, Robyn L Miller, Vince D Calhoun
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach. bioRxiv : the preprint server for biology (2024)
Martina Lapera Sancho, Charles A Ellis, Robyn L Miller, Vince D Calhoun
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach. bioRxiv : the preprint server for biology (2024)
Robyn L Miller, Victor M Vergara, Erik B Erhardt, Vince D Calhoun
MARKOV SPATIAL FLOWS IN BOLD FMRI: A NOVEL LENS ON THE BOLD SIGNAL REVEALS ATTRACTING PATTERNS OF SIGNAL INTENSITY. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Abhinav Sattiraju, Robyn L Miller, Vince D Calhoun
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Abhinav Sattiraju, Robyn L Miller, Vince D Calhoun
Novel Approach Explains Spatio-Spectral Interactions in Raw Electroencephalogram Deep Learning Classifiers. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data. bioRxiv : the preprint server for biology (2023)
Robyn L Miller, Victor M Vergara, Erik B Erhardt, Vince D Calhoun
Markov Spatial Flows in Bold Fmri: A Novel Lens on the Bold Signal Reveals Attracting Patterns of Signal Intensity. bioRxiv : the preprint server for biology (2023)
Robyn L Miller, Victor M Vergara, Erik B Erhardt, Vince D Calhoun
MARKOV SPATIAL FLOWS IN BOLD FMRI: A NOVEL LENS ON THE BOLD SIGNAL REVEALS ATTRACTING PATTERNS OF SIGNAL INTENSITY. bioRxiv : the preprint server for biology (2023)
Robyn L Miller, Victor M Vergara, Erik B Erhardt, Vince D Calhoun
MARKOV SPATIAL FLOWS IN BOLD FMRI: A NOVEL LENS ON THE BOLD SIGNAL REVEALS ATTRACTING PATTERNS OF SIGNAL INTENSITY. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis. bioRxiv : the preprint server for biology (2023)
Robyn L Miller, Victor M Vergara, Erik B Erhardt, Vince D Calhoun
Markov Spatial Flows in Bold Fmri: A Novel Lens on the Bold Signal Reveals Attracting Patterns of Signal Intensity. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Abhinav Sattiraju, Robyn L Miller, Vince D Calhoun
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder by Pretraining Deep Learning Models with Single Channel Sleep Stage Data . bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis. bioRxiv : the preprint server for biology (2023)
Abhinav Sattiraju, Charles A Ellis, Robyn L Miller, Vince D Calhoun
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia Diagnosis. bioRxiv : the preprint server for biology (2023)
Krishna Pusuluri, Zening Fu, Robyn L Miller, Godfrey Pearlson, Peter V Kochunov, Theo G M Van Erp, Armin Iraji, Vince D Calhoun
4D DYNAMIC SPATIAL BRAIN NETWORKS AT REST LINKED TO COGNITION SHOW ATYPICAL VARIABILITY AND COUPLING IN SCHIZOPHRENIA. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data . bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Abhinav Sattiraju, Robyn L Miller, Vince D Calhoun
Novel Approach Explains Spatio-Spectral Interactions in Raw Electroencephalogram Deep Learning Classifiers. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Cross-Sampling Rate Transfer Learning for Enhanced Raw EEG Deep Learning Classifier Performance in Major Depressive Disorder Diagnosis. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Abhinav Sattiraju, Robyn L Miller, Vince D Calhoun
Novel Approach Explains Spatio-Spectral Interactions in Raw Electroencephalogram Deep Learning Classifiers. bioRxiv : the preprint server for biology (2023)
Charles A Ellis, Robyn L Miller, Vince D Calhoun
Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram Data. bioRxiv : the preprint server for biology (2023)
Daniel J Lurie, Daniel A Kessler, Danielle S Bassett, Richard F Betzel, Michael Breakspear, Shella D Keilholz, Aaron Kucyi, Raphael Liégeois, Martin A Lindquist, Anthony Randal McIntosh, Russell A Poldrack, James M Shine, William Hedley Thompson, Natalia Z Bielczyk, Linda Douw, Dominik Kraft, Robyn L Miller, Muthuraman Muthuraman, Lorenzo Pasquini, Akshay Nair, Diego Vidaurre, Hua Xie, Vince D Calhoun
Questions and controversies in the study of time-varying functional connectivity in resting fMRI. Network neuroscience (Cambridge, Mass.) 4 (1) (2020)
Robyn L Miller, Godfrey Pearlson, Vince D Calhoun
Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measures. PloS one 14 (12) (2019)

Robyn L Miller.css-eqlu8i{font-size:small;padding-left:4px;} (Robyn Miller)

Publication Activity (10 Years)

Top Topics

Top Venues

Robyn L Miller (Robyn Miller)