Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models. - Charles A. Ellis; Abhinav Sattiraju; Robyn L. Miller; Vince D. Calhoun (BIBE, 2022)

Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models. - Charles A. Ellis; Abhinav Sattiraju; Robyn L. Miller; Vince D. Calhoun (BIBE, 2022)

An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. - Abhinav Sattiraju; Charles A. Ellis; Robyn L. Miller; Vince D. Calhoun (BIBE, 2023)

Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data. - Charles A. Ellis; Abhinav Sattiraju; Robyn L. Miller; Vince D. Calhoun (BIBM, 2023)

Novel Approach Explains Spatio-Spectral Interactions In Raw Electroencephalogram Deep Learning Classifiers. - Charles A. Ellis; Abhinav Sattiraju; Robyn L. Miller; Vince D. Calhoun (ICASSP Workshops, 2023)