collaborators

6 papers

cs.LG2026

cAPM: Continual AI-Assisted Pace-Mapping with Active Learning

Dylan O'Hara, Pradeep Bajracharya, Casey Meisenzahl +7

Ventricular tachycardia is a life-threatening rhythm disorder and a major cause of sudden cardiac death. Pace-mapping is a clinical procedure for identifying the intervention targe…

cs.LG2025

Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals

Alice Ragonesi, Stefania Fresca, Karli Gillette +3

Wolff-Parkinson-White (WPW) syndrome is a cardiac electrophysiology (EP) disorder caused by the presence of an accessory pathway (AP) that bypasses the atrioventricular node, faste…

math.NA2025

Computational Modeling of Selective Capture Mechanisms in Conduction System Pacing

Mohammadreza Kariman, Matthias A. F. Gsell, Edward J. Vigmond +3

CSP is gaining clinical significance owing to its ability to restore a physiological activation sequence in the ventricles. While His bundle pacing (HBP) producing the most physiol…

q-bio.TO2025

Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates

Lore Van Santvliet, Elena Zappon, Matthias A. F. Gsell +9

A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and physiology. A crucial step of building a cardiac digital twin is anatomical twinn…

math.OC2025

Accurate and Efficient Cardiac Digital Twin from surface ECGs: Insights into Identifiability of Ventricular Conduction System

Thomas Grandits, Karli Gillette, Gernot Plank +1

Digital twins for cardiac electrophysiology are an enabling technology for precision cardiology. Current forward models are advanced enough to simulate the cardiac electric activit…

math.NA2025

An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology

Elena Zappon, Luca Azzolin, Matthias A. F. Gsell +12

Computational models of atrial electrophysiology (EP) are increasingly utilized for applications such as the development of advanced mapping systems, personalized clinical therapy…