Electrophysiologically-informed digital twins for atrial fibrillation.

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Bibliographic Details
Title: Electrophysiologically-informed digital twins for atrial fibrillation.
Authors: Termenón-Rivas M; Computational Multiscale Simulation Lab (CoMMLab), Department of Computer Science and Department of Electronic Engineering, Universitat de València, Avinguda de l'Universitat s/n, Burjassot, 46100, Spain., Romitti GS; Computational Multiscale Simulation Lab (CoMMLab), Department of Computer Science and Department of Electronic Engineering, Universitat de València, Avinguda de l'Universitat s/n, Burjassot, 46100, Spain., Arcaya JB; Computational Multiscale Simulation Lab (CoMMLab), Department of Computer Science and Department of Electronic Engineering, Universitat de València, Avinguda de l'Universitat s/n, Burjassot, 46100, Spain., Narayan SM; Cardiovascular Department, Stanford University, Stanford, CA, USA., Liberos A; Computational Multiscale Simulation Lab (CoMMLab), Department of Computer Science and Department of Electronic Engineering, Universitat de València, Avinguda de l'Universitat s/n, Burjassot, 46100, Spain., Rodrigo M; Computational Multiscale Simulation Lab (CoMMLab), Department of Computer Science and Department of Electronic Engineering, Universitat de València, Avinguda de l'Universitat s/n, Burjassot, 46100, Spain. Electronic address: miguel.rodrigo@uv.es.
Source: Medical image analysis [Med Image Anal] 2026 Jul; Vol. 112, pp. 104131. Date of Electronic Publication: 2026 May 17.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2026.104131