Biomechanical Model to Aid Surgical Planning in Complex Congenital Heart Diseases. - Maria Gusseva; Nikhil Thatte; Daniel A. Castellanos; Peter E. Hammer; Sunil J. Ghelani; Ryan Callahan; Tarique Hussain; Radomír Chabiniok (FIMH, 2023)

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)

Benchmarking mortality risk prediction from electrocardiograms. - Platon Lukyanenko; Joshua Mayourian; Mingxuan Liu; John K. Triedman; Sunil J. Ghelani; William G. La Cava (CoRR, 2024)

Biomechanical modeling combined with pressure-volume loop analysis to aid surgical planning in patients with complex congenital heart disease. - Maria Gusseva; Nikhil Thatte; Daniel A. Castellanos; Peter E. Hammer; Sunil J. Ghelani; Ryan Callahan; Tarique Hussain; Radomír Chabiniok (Medical Image Anal., 2025)