ABSTRACT: Evaluation of Transfer Learning Models on Detection of COVID-19 Using Multi-Modal Data. - Alexis Bennett; Rachael Garner; Marianna La Rocca; Ali Valehi; Dominique Duncan (DCOSS, 2022)

Unsupervised Seizure Detection in Eeg Using Long Short Term Memory Network and Clustering. - Samayan Bhattacharya; Alexis Bennett; Celina Alba; Kseniia Kriukova; Dominique Duncan (MLSP, 2023)

Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training. - Karina Yang; Alexis Bennett; Dominique Duncan (CoRR, 2023)

Alzheimer's disease and Frontotemporal Dementia Prediction Using Variational Mode Decomposition and Machine Learning. - Samayan Bhattacharya; Kseniia Kriukova; Alexis Bennett; Celina Alba; Dominique Duncan (CoDIT, 2024)

Enlarged Perivascular Spaces in Frontal and Temporal Cortical Regions Characterize Seizure Outcome After Traumatic Brain Injury. - Celina Alba; Giuseppe Barisano; Alexis Bennett; Akul Sharma; Paul M. Vespa; Dominique Duncan (ISBI, 2024)

Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. - Md Navid Akbar; Sebastian F. Ruf; Ashutosh Singh; Razieh Faghihpirayesh; Rachael Garner; Alexis Bennett; Celina Alba; Marianna La Rocca; Tales Imbiriba; Deniz Erdogmus; Dominique Duncan (Comput. Medical Imaging Graph., 2024)

Optimizing Automated Brain Extraction for Moderate to Severe Traumatic Brain Injury Patients: The Role of Intensity Normalization and Bias-Field Correction. - Patrick Carbone; Celina Alba; Alexis Bennett; Kseniia Kriukova; Dominique Duncan (Algorithms, 2024)