| Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity MSE Sendi, E Zendehrouh, CA Ellis, Z Liang, Z Fu, DH Mathalon, JM Ford, ... Frontiers in Neural Circuits 17, 2021 | 43 | 2021 |
| A multimodal magnetoencephalography 7 T fMRI and 7 T proton MR spectroscopy study in first episode psychosis TJ Gawne, GJ Overbeek, JF Killen, MA Reid, NV Kraguljac, TS Denney, ... npj Schizophrenia 6 (1), 23, 2020 | 20 | 2020 |
| Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models CA Ellis, A Sattiraju, R Miller, V Calhoun 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering …, 2022 | 19 | 2022 |
| Algorithm-agnostic explainability for unsupervised clustering CA Ellis, MSE Sendi, E Geenjaar, SM Plis, RL Miller, VD Calhoun arXiv preprint arXiv:2105.08053, 2021 | 19 | 2021 |
| Explainable sleep stage classification with multimodal electrophysiology time-series CA Ellis, R Zhang, DA Carbajal, RL Miller, VD Calhoun, MD Wang 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 18 | 2021 |
| A novel local explainability approach for spectral insight into raw eeg-based deep learning classifiers CA Ellis, RL Miller, VD Calhoun 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering …, 2021 | 17 | 2021 |
| A novel local ablation approach for explaining multimodal classifiers CA Ellis, R Zhang, VD Calhoun, DA Carbajal, MSE Sendi, MD Wang, ... 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering …, 2021 | 16 | 2021 |
| Novel methods for elucidating modality importance in multimodal electrophysiology classifiers CA Ellis, MSE Sendi, R Zhang, DA Carbajal, MD Wang, RL Miller, ... Frontiers in Neuroinformatics 17, 1123376, 2023 | 15 | 2023 |
| A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data CA Ellis, RL Miller, VD Calhoun Frontiers in Neuroinformatics 16, 872035, 2022 | 15* | 2022 |
| A novel activation maximization-based approach for insight into electrophysiology classifiers CA Ellis, MSE Sendi, R Miller, V Calhoun 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 15 | 2021 |
| The link between brain functional network connectivity and genetic risk of Alzheimer's disease MSE Sendi, E Zendehrouh, RL Miller, EC Mormino, DH Salat, ... Alzheimer's & Dementia 17, e050101, 2021 | 14* | 2021 |
| Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models CA Ellis, A Sattiraju, R Miller, V Calhoun 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering …, 2022 | 13 | 2022 |
| An Approach for Estimating Explanation Uncertainty in fMRI dFNC Classification CA Ellis, RL Miller, VD Calhoun 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering …, 2022 | 12 | 2022 |
| A Model Visualization-based Approach for Insight into Waveforms and Spectra Learned by CNNs CA Ellis, RL Miller, VD Calhoun 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 12 | 2022 |
| An explainable deep learning approach for multimodal electrophysiology classification CA Ellis, DA Carbajal, R Zhang, RL Miller, VD Calhoun, MD Wang bioRxiv, 2021.05. 12.443594, 2021 | 12 | 2021 |
| The relationship between dynamic functional network connectivity and spatial orientation in healthy young adults MSE Sendi, CA Ellis, RL Miller, DH Salat, VD Calhoun bioRxiv, 2021.02. 14.431143, 2021 | 10 | 2021 |
| An unsupervised feature learning approach for elucidating hidden dynamics in rs-fMRI functional network connectivity CA Ellis, MSE Sendi, RL Miller, VD Calhoun 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 9 | 2022 |
| A gradient-based approach for explaining multimodal deep learning classifiers CA Ellis, R Zhang, VD Calhoun, DA Carbajal, RL Miller, MD Wang 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering …, 2021 | 9 | 2021 |
| Novel Approach Explains Spatio-Spectral Interactions in Raw Electroencephalogram Deep Learning Classifiers CA Ellis, A Sattiraju, RL Miller, VD Calhoun 2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023 | 8 | 2023 |
| Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches CA Ellis, RL Miller, VD Calhoun Informatics in medicine unlocked 37, 101176, 2023 | 8 | 2023 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
