3 papers
cs.AI2026
Learning Cardiac Electrophysiology Digital Twins Through Agentic Discovery of Hybrid Structure
Ziqi Zhou, Yubo Ye, Sumeet Atul Vadhavka +2
Building personalized cardiac electrophysiology (EP) digital twins requires identifying the appropriate model structure for each patient, not merely fitting parameters. Traditional…
cs.CV2026
MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation
Casey Meisenzahl, Jon Heiselman, Michael Holtz +3
Accurate intraoperative liver registration is challenging due to substantial soft-tissue deformation yet sparse intraoperative measurements. Biomechanical models regularize this il…
cs.LG2026
HAPI-EP: Towards Hybrid, Adaptive, and Predictive Digital Twins of Cardiac Electrophysiology
Sumeet Vadhavkar, Xiajun Jiang, Yubo Ye +2
A digital twin (DT) of a patient-specific heart offers significant potential in personalized medicine. However, its rapid and dynamic adaptation to an individual's live data and it…