Analytic Tools for Post-traumatic Epileptogenesis Biomarker Search in Multimodal Dataset of an Animal Model and Human Patients. - Dominique Duncan; Giuseppe Barisano; Ryan P. Cabeen; Farshid Sepehrband; Rachael Garner; Adebayo Braimah; Paul M. Vespa; Asla Pitkänen; Meng Law; Arthur W. Toga (Frontiers Neuroinformatics, 2018)

A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity. - Rachael Garner; Marianna La Rocca; Giuseppe Barisano; Arthur W. Toga; Dominique Duncan; Paul M. Vespa (SpringSim, 2019)

Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts. - Dominique Duncan; Rachael Garner; Ivan Zrantchev; Tyler Ard; Bradley Newman; Adam Saslow; Emily Wanserski; Arthur W. Toga (J. Digit. Imaging, 2019)

A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-Traumatic Epileptogenesis. - Ryan P. Cabeen; Riikka J. Immonen; Neil G. Harris; Olli Gröhn; Gregory Smith; Eppu Manninen; Rachael Garner; Dominique Duncan; Asla Pitkänen; Arthur W. Toga (ISBI, 2020)

Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. - Md Navid Akbar; Marianna La Rocca; Rachael Garner; Dominique Duncan; Deniz Erdogmus (PETRA, 2020)

The Effects of Filtering on High Frequency Oscillation Classification. - Jiaju Liu; Rachael Garner; Marianna La Rocca; Eun-Kee Bae; Dominique Duncan (SpringSim, 2020)

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)

Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. - Razieh Faghihpirayesh; Sebastian F. Ruf; Marianna La Rocca; Rachael Garner; Paul M. Vespa; Deniz Erdogmus; Dominique Duncan (EMBC, 2021)

Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI. - Md Navid Akbar; Sebastian F. Ruf; Marianna La Rocca; Rachael Garner; Giuseppe Barisano; Ruskin Cua; Paul M. Vespa; Deniz Erdogmus; Dominique Duncan (CDMRI@MICCAI, 2021)

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 identification on EEG. - Ilkay Yildiz; Rachael Garner; Matthew Lai; Dominique Duncan (Comput. Methods Programs Biomed., 2022)

Efficient and visualizable convolutional neural networks for COVID-19 classification using Chest CT. - Aksh Garg; Sana Salehi; Marianna La Rocca; Rachael Garner; Dominique Duncan (Expert Syst. Appl., 2022)

A Comparison of Neuroelectrophysiology Databases. - Priyanka Subash; Alex Gray; Misque Boswell; Samantha L. Cohen; Rachael Garner; Sana Salehi; Calvary Fisher; Samuel Hobel; Satrajit S. Ghosh; Yaroslav O. Halchenko; Benjamin K. Dichter; Russell A. Poldrack; et al. (CoRR, 2023)

A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities. - Azrin Khan; Rachael Garner; Marianna La Rocca; Sana Salehi; Dominique Duncan (Signal Image Video Process., 2023)

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)

Superficial White Matter Microstructure Alterations in the Right Temporal Lobe Associated with Post-Traumatic Epilepsy. - Akul Sharma; Rachael Garner; Alexandra Somodi; Vishnu Kadaba; Akhil Pullela; Paul M. Vespa; Dominique Duncan (ISBI, 2025)