Sunil J. Ghelani

According to our database, Sunil J. Ghelani authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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

Deep survival analysis from adult and pediatric electrocardiograms: a multi-center benchmark study.

Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava

BioData Min., 2025

2024

Benchmarking mortality risk prediction from electrocardiograms.

Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava

CoRR, 2024

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, Michael Quail, Rahul H. Rathod, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, 2023

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

Proceedings of the Functional Imaging and Modeling of the Heart, 2023