Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry. - Tina Yao; Nicole St. Clair; Gabriel F. Miller; Adam L. Dorfman; Mark A. Fogel; Sunil J. Ghelani; Rajesh Krishnamurthy; Christopher Z. Lam; Joshua D. Robinson; David Schidlow; Timothy C. Slesnick; Justin Weigand; et al. (CoRR, 2023)

Biomechanics and clinical implications of Fontan upsizing. - Vijay Govindarajan; Akshita Sahni; Emily Eickhoff; Peter E. Hammer; David M. Hoganson; Rahul H. Rathod; Pedro J. del Nido (Comput. Biol. Medicine, 2024)

MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort. - Tina Yao; Nicole St. Clair; Gabriel F. Miller; FORCE Investigators; Jennifer Anne Steeden; Rahul H. Rathod; Vivek Muthurangu (CoRR, 2025)