Machine Learning of Diffusion Weighted Imaging for Prediction of Seizure Susceptibility Following Traumatic Brain Injury. - Akul Sharma; Rachael Garner; Marianna La Rocca; Celina Alba; Yenlin Lee; Karina Yang; Maya Brawer-Cohen; Dominique Duncan (ANNSIM, 2021)

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)

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)