Robyn L. Miller

Also affiliated with Forest Trends, Emory University, Georgia State University, Center for Translational Research in Neuroimaging and Data Science, Child Trends

NeurosciencePsychologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 57 papers. Top paper: “Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia”.

Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia

NeuroImage(2020)10.1016/j.neuroimage.2020.117385

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0.697DataRank · unranked

103 citations

Armin Iraji, Jessica A. Turner, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Robyn L. Miller, Godfrey D. Pearlson +2 more

Alzheimer’s Disease Projection From Normal to Mild Dementia Reflected in Functional Network Connectivity: A Longitudinal Study

Frontiers in Neural Circuits(2021)10.3389/fncir.2020.593263

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0.633DataRank · unranked

67 citations

Elaheh Zendehrouh, Robyn L. Miller, Zening Fu, Yuhui Du, Jingyu Liu +4 more

A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871414

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0.416DataRank · unranked

15 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs

Frontiers in Neuroscience(2022)10.3389/fnins.2022.770468

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0.345DataRank · unranked

9 citations

Victor M. Vergara, Godfrey D. Pearlson, Vince D. Calhoun, Robyn L. Miller

A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.12.16.473028

N/A

0.330DataRank · unranked

8 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

A Systematic Approach for Explaining Time and Frequency Features Extracted by CNNs from Raw EEG Data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.08.479555

N/A

0.312DataRank · unranked

7 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.13.528329

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0.241DataRank · unranked

4 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

A method for capturing dynamic spectral coupling in resting fMRI reveals domain-specific patterns in schizophrenia

Frontiers in Neuroscience(2023)10.3389/fnins.2023.1078995

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0.241DataRank · unranked

4 citations

Robyn L. Miller, Oktay Agcaoglu, Adrian Preda, Judith M. Ford, Vince D. Calhoun +1 more

Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM Classifiers

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871348

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0.104DataRank · unranked

1 citations

Vince D. Calhoun, Robyn L. Miller, Yutong Gao

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks

arXiv (Cornell University)(2024)10.48550/arxiv.2405.15805

N/A

0.104DataRank · unranked

1 citations

Robyn L. Miller, Jiayu Chen, Yu‐Ping Wang, Esra Akbaş, Ram P. Sapkota +6 more

Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models

(2022)10.1109/bibe55377.2022.00069

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0DataRank · unranked

21 citations

Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

An Unsupervised Feature Learning Approach for Elucidating Hidden Dynamics in rs-fMRI Functional Network Connectivity

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871548

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0DataRank · unranked

16 citations

Mohammad S.E. Sendi, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

An Approach for Estimating Explanation Uncertainty in fMRI dFNC Classification

(2022)10.1109/bibe55377.2022.00067

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0DataRank · unranked

12 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Novel Methods for Elucidating Modality Importance in Multimodal Electrophysiology Classifiers

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.01.474276

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0DataRank · unranked

11 citations

Mohammad S.E. Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller +2 more

Exploring Relationships between Functional Network Connectivity and Cognition with an Explainable Clustering Approach

(2022)10.1109/bibe55377.2022.00066

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0DataRank · unranked

11 citations

Martina Lapera Sancho, Mohammad S.E. Sendi, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Identifying Neuropsychiatric Disorder Subtypes and Subtype-dependent Variation in Diagnostic Deep Learning Classifier Performance

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.27.514124

N/A

0DataRank · unranked

8 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Neuropsychiatric Disorder Subtyping Via Clustered Deep Learning Classifier Explanations

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.14.520428

N/A

0DataRank · unranked

4 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

iSparse kmeans: a two-step clustering approach for big dynamic functional network connectivity data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.13.484193

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0DataRank · unranked

2 citations

David H. Salat, Robyn L. Miller, Vince D. Calhoun, Mohammad S.E. Sendi

Explicitly Nonlinear Dynamic Functional Network Connectivity In Resting-State fMRI Data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.22.497262

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0DataRank · unranked

2 citations

Ayşenil Belger, Juan Bustillo, Ashkan Faghiri, James M. Ford, Armin Iraji +11 more

A two-step clustering-based pipeline for big dynamic functional network connectivity data

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871997

N/A

0DataRank · unranked

0 citations

Robyn L. Miller, David H. Salat, Vince D. Calhoun, Mohammad S.E. Sendi

A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data

Journal of Neuroscience Methods(2023)10.1016/j.jneumeth.2023.109794

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0DataRank · unranked

21 citations

V. Vahidi, Bradley T. Baker, Ayşenil Belger, Juan Bustillo, Ashkan Faghiri +12 more

The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease

NeuroImage Clinical(2023)10.1016/j.nicl.2023.103363

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0DataRank · unranked

21 citations

Elaheh Zendehrouh, Charles A. Ellis, Zening Fu, Jiayu Chen, Robyn L. Miller +4 more

Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

Frontiers in Neuroinformatics(2023)10.3389/fninf.2023.1123376

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0DataRank · unranked

18 citations

Mohammad S.E. Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller +2 more

Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment

Computers in Biology and Medicine(2023)10.1016/j.compbiomed.2023.107005

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0DataRank · unranked

18 citations

Noah Lewis, Vince D. Calhoun, Robyn L. Miller, Yutong Gao

Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches

Informatics in Medicine Unlocked(2023)10.1016/j.imu.2023.101176

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0DataRank · unranked

14 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Fine temporal brain network structure modularizes and localizes differently in men and women: insights from a novel explainability framework

Cerebral Cortex(2023)10.1093/cercor/bhac462

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0DataRank · unranked

8 citations

Robyn L. Miller, Harshvardhan Gazula, Vince D. Calhoun, Noah Lewis

Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics

Neuroimage Reports(2023)10.1016/j.ynirp.2023.100186

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0DataRank · unranked

10 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Novel Approach Explains Spatio-Spectral Interactions in Raw Electroencephalogram Deep Learning Classifiers

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.26.530118

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0DataRank · unranked

11 citations

Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia Diagnosis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.27.542592

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0DataRank · unranked

7 citations

Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun, Abhinav Sattiraju

Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data*

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.29.538813

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0DataRank · unranked

4 citations

Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis

(2023)10.1109/bibe60311.2023.00048

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0DataRank · unranked

4 citations

Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun, Abhinav Sattiraju

A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.29.526110

N/A

0DataRank · unranked

3 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Cross-Sampling Rate Transfer Learning for Enhanced Raw EEG Deep Learning Classifier Performance in Major Depressive Disorder Diagnosis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.13.566915

N/A

0DataRank · unranked

3 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

A Convolutional Autoencoder-based Explainable Clustering Approach for Resting-State EEG Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.04.522805

N/A

0DataRank · unranked

2 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder by Pretraining Deep Learning Models with Single Channel Sleep Stage Data *

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.29.542700

N/A

0DataRank · unranked

0 citations

Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

4D DYNAMIC SPATIAL BRAIN NETWORKS AT REST LINKED TO COGNITION SHOW ATYPICAL VARIABILITY AND COUPLING IN SCHIZOPHRENIA

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.18.558295

N/A

0DataRank · unranked

0 citations

Zening Fu, Robyn L. Miller, Godfrey D. Pearlson, Peter Kochunov, Theo G.M. van Erp +3 more

Markov Spatial Flows in Bold Fmri: A Novel Lens on the Bold Signal Reveals Attracting Patterns of Signal Intensity

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.15.571860

N/A

0DataRank · unranked

0 citations

Victor M. Vergara, Erik B. Erhardt, Vince D. Calhoun, Robyn L. Miller

The dynamics of dynamic time warping in fMRI data: A method to capture inter-network stretching and shrinking via warp elasticity

Imaging Neuroscience(2024)10.1162/imag_a_00187

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0DataRank · unranked

14 citations

Ashkan Faghiri, Zening Fu, Robyn L. Miller, Adrian Preda, Vince D. Calhoun +1 more

Influence of Th1 versus Th2 immune bias on viral, pathological, and immunological dynamics in SARS-CoV-2 variant-infected human ACE2 knock-in mice

EBioMedicine(2024)10.1016/j.ebiom.2024.105361

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0DataRank · unranked

10 citations

Fernanda Ana‐Sosa‐Batiz, Julia Timis, Norazizah Shafee, Erin Maule, Paolla Beatriz Almeida Pinto +15 more

A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia

Entropy(2024)10.3390/e26070545

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0DataRank · unranked

7 citations

Robyn L. Miller, Vince D. Calhoun, David Sutherland Blair

4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia

Human Brain Mapping(2024)10.1002/hbm.26773

N/A

0DataRank · unranked

4 citations

Zening Fu, Robyn L. Miller, Godfrey D. Pearlson, Peter Kochunov, Theo G.M. van Erp +3 more

Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia

Frontiers in Psychiatry(2024)10.3389/fpsyt.2024.1165424

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0DataRank · unranked

3 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.19.585728

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0DataRank · unranked

8 citations

Martina Lapera Sancho, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

A Dynamic Entropy Approach Reveals Reduced Functional Network Connectivity Trajectory Complexity in Schizophrenia

Preprints.org(2024)10.20944/preprints202405.0068.v1

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0DataRank · unranked

1 citations

Robyn L. Miller, Vince D. Calhoun, David Sutherland Blair

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks

Medical Image Analysis(2025)10.1016/j.media.2025.103462

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0DataRank · unranked

25 citations

Robyn L. Miller, Jiayu Chen, Yu‐Ping Wang, Esra Akbaş, Ram P. Sapkota +6 more

A humanised ACE2, TMPRSS2, and FCGRT mouse model reveals the protective efficacy of anti-receptor binding domain antibodies elicited by SARS-CoV-2 hybrid immunity

EBioMedicine(2025)10.1016/j.ebiom.2025.105619

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0DataRank · unranked

2 citations

Shailendra Kumar Verma, Norazizah Shafee, Robyn L. Miller, Chris Conner, Kathryn M. Hastie +15 more

Generative Forecasting of Brain Activity Enhances Alzheimer’s Classification and Interpretation

PubMed(2025)10.1109/embc58623.2025.11253394

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0DataRank · unranked

1 citations

Vince D Calhoun, Robyn L. Miller, Yutong Gao

Topologically Optimized Intrinsic Brain Networks

Human Brain Mapping(2025)10.1002/hbm.70380

N/A

0DataRank · unranked

0 citations

Armin Iraji, Robyn L. Miller, Oktay Agcaoglu, Vince D. Calhoun, Noah Lewis

Examining fMRI time-series entropy as a marker for brain E/I balance with pharmacological neuromodulation in a non-human primate translational model

Neuroscience Letters(2020)10.1016/j.neulet.2020.134984

N/A

0DataRank · unranked

2 citations

Leonard H. Howell, Phillip Zhe Sun, Robyn L. Miller, Kaundinya Gopinath, Eric Maltbie

Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity

Frontiers in Neural Circuits(2021)10.3389/fncir.2021.649417

N/A

0DataRank · unranked

89 citations

Elaheh Zendehrouh, Charles A. Ellis, Zhijia Liang, Zening Fu, Daniel H. Mathalon +8 more

Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data

Human Brain Mapping(2021)10.1002/hbm.25720

N/A

0DataRank · unranked

26 citations

Rogers F. Silva, Daoqiang Zhang, Sergey Plis, Robyn L. Miller, Victor M. Vergara +5 more

Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.03.425152

N/A

0DataRank · unranked

10 citations

Elaheh Zendehrouh, Charles A. Ellis, Zhijia Liang, Zening Fu, Daniel H. Mathalon +8 more

The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer’s disease

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.27.437354

N/A

0DataRank · unranked

1 citations

Elaheh Zendehrouh, Charles A. Ellis, Jiayu Chen, Robyn L. Miller, Elizabeth C. Mormino +3 more

A METHOD FOR INTEGRATIVE ANALYSIS OF LOCAL AND GLOBAL BRAIN DYNAMICS

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.18.444698

N/A

0DataRank · unranked

0 citations

Victor M. Vergara, Vince D. Calhoun, Robyn L. Miller

A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data

Frontiers in Neuroinformatics(2022)10.3389/fninf.2022.872035

N/A

0DataRank · unranked

24 citations

Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis

Two-step clustering-based pipeline for big dynamic functional network connectivity data

Frontiers in Neuroscience(2022)10.3389/fnins.2022.895637

N/A

0DataRank · unranked

10 citations

David H. Salat, Robyn L. Miller, Vince D. Calhoun, Mohammad S.E. Sendi

Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models

(2022)10.1109/bibe55377.2022.00068

N/A

0DataRank · unranked

33 citations

Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun, Charles A. Ellis