Selected Research

A selection of research papers and projects from over the years

Automated segmentation of multiple sclerosis lesions, paramagnetic rims, and central vein sign on MRI provides reliable diagnostic biomarkers

{Imaging Neuroscience, 2025}

By Fengling Hu, Zheng Ren, Luyun Chen, Alessandra M. Valcarcel, Jordan Dworkin, Brian Renner, Lynn Daboul, Carly M. O’Donnell, Elizabeth D. Verter, Abigail R. Manning, Kelly A. Clark, Eunchan Bae, Christina Chen, Carolyn Lou, Theodore D. Satterthwaite, Haochang Shou, Michel Bilello, Kunio Nakamura, Amit Bar-Or, Peter A. Calabresi, Leorah Freeman, Roland G. Henry, Erin E. Longbrake, Jiwon Oh, Matthew K. Schindler, Martina Absinta, Andrew J. Solomon, Nancy L. Sicotte, Daniel Ontaneda, Daniel S. Reich, Pascal Sati, & Russell T. Shinohara

paper

Automated analysis of low-field brain MRI in cerebral malaria

{Biometrics, 2023}

By Danni Tu, Manu S. Goyal, Jordan D. Dworkin, Samuel Kampondeni, Lorenna Vidal, Eric Biondo-Savin, Sandeep Juvvadi, Prashant Raghavan, Jennifer Nicholas, Karen Chetcuti, Kelly Clark, Timothy Robert-Fitzgerald, Theodore D. Satterthwaite, Paul Yushkevich, Christos Davatzikos, Guray Erus, Nicholas J. Tustison, Douglas G. Postels, Terrie E. Taylor, Dylan S. Small, & Russell T. Shinohara

paper preprint

Lesion quantification toolkit

The lesion quantification toolkit (LQT) is a publicly available software package for quantifying the probabilistic impacts of focal brain lesions on structural connectivity.