Charles A. Ellis

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

NeuroscienceMedicinePsychology

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 32 papers. Top paper: “A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs”.

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

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 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

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

Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models

(2022)10.1109/bibe55377.2022.00069

N/A

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

N/A

0DataRank · unranked

16 citations

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

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

N/A

0DataRank · unranked

15 citations

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

N/A

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

N/A

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

N/A

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

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

0DataRank · unranked

7 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

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

N/A

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

N/A

0DataRank · unranked

18 citations

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

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

N/A

0DataRank · unranked

14 citations

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

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

N/A

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

N/A

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

N/A

0DataRank · unranked

7 citations

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

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

N/A

0DataRank · unranked

4 citations

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

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

N/A

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

N/A

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

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

Frontiers in Psychiatry(2024)10.3389/fpsyt.2024.1165424

N/A

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

N/A

0DataRank · unranked

8 citations

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

Refining Brain Stimulation Therapies: An Active Learning Approach to Personalization

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.02.610880

N/A

0DataRank · unranked

5 citations

Eric R. Cole, Brigitte Piallat, Charles A. Ellis, Thomas E. Eggers, Nealen G. Laxpati +7 more

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

Refining Brain Stimulation Therapies: An Active Learning Approach to Personalization

Research Square(2024)10.21203/rs.3.rs-4876094/v1

N/A

0DataRank · unranked

0 citations

Eric R. Cole, Brigitte Piallat, Charles A. Ellis, Thomas E. Eggers, Nealen G. Laxpati +7 more