lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

PC Africa, R Piersanti, F Regazzoni, M Bucelli… - BMC …, 2023 - Springer
Background Simulating the cardiac function requires the numerical solution of multi-physics
and multi-scale mathematical models. This underscores the need for streamlined, accurate …

Ventricular Tachycardia Catheter Ablation: Retrospective Analysis and Prospective Outlooks—A Comprehensive Review

LA Stanciulescu, R Vatasescu - Biomedicines, 2024 - mdpi.com
Ventricular tachycardia is a potentially life-threatening arrhythmia associated with an overall
high morbi-mortality, particularly in patients with structural heart disease. Despite their …

Digital twins for cardiac electrophysiology: state of the art and future challenges

MJM Cluitmans, G Plank, J Heijman - Herzschrittmachertherapie+ …, 2024 - Springer
Cardiac arrhythmias remain a major cause of death and disability. Current antiarrhythmic
therapies are effective to only a limited extent, likely in large part due to their mechanism …

A Cyclical Fast Iterative Method for Simulating Reentries in Cardiac Electrophysiology Using an Eikonal-Based Model

CB Espinosa, J Sánchez, S Appel, S Becker… - arXiv preprint arXiv …, 2024 - arxiv.org
Background: Computer models for simulating cardiac electrophysiology are valuable tools
for research and clinical applications. Traditional reaction-diffusion (RD) models used for …

Arrhythmogenic vulnerability of re-entrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling

P Bhagirath, FO Campos, PG Postema, MJB Kemme… - Europace, 2023 - academic.oup.com
Aims Substrate assessment of scar-mediated ventricular tachycardia (VT) is frequently
performed using late gadolinium enhancement (LGE) images. Although this provides …

Evaluation of a deep learning‐enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias

E Sung, S Kyranakis, UA Daimee… - The Journal of …, 2024 - Wiley Online Library
Personalized, image‐based computational heart modelling is a powerful technology that
can be used to improve patient‐specific arrhythmia risk stratification and ventricular …

[HTML][HTML] A Matlab Toolbox for cardiac electrophysiology simulations on patient-specific geometries

N Biasi, P Seghetti, M Parollo, G Zucchelli… - Computers in Biology …, 2025 - Elsevier
In this paper, we present CardioMat, a Matlab toolbox for cardiac electrophysiology
simulation based on patient-specific anatomies. The strength of CardioMat is the easy and …

From bits to bedside: entering the age of digital twins in cardiac electrophysiology

P Bhagirath, M Strocchi, MJ Bishop, PM Boyle… - Europace, 2024 - academic.oup.com
Abstract This State of the Future Review describes and discusses the potential
transformative power of digital twins in cardiac electrophysiology. In this 'big …

[HTML][HTML] Assessing the arrhythmogenic risk of engineered heart tissue patches through in silico application on infarcted ventricle models

D Fassina, CM Costa, M Bishop, G Plank… - Computers in Biology …, 2023 - Elsevier
Background Post myocardial infarction (MI) ventricles contain fibrotic tissue and may have
disrupted electrical properties, both of which predispose to an increased risk of life …

CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation with Microvascular Obstructions

F Thaler, MAF Gsell, G Plank, M Urschler - arXiv preprint arXiv:2312.11315, 2023 - arxiv.org
Late gadolinium enhanced (LGE) magnetic resonance (MR) imaging is widely established
to assess the viability of myocardial tissue of patients after acute myocardial infarction (MI) …