Automated generation of ablation lesion masks: a unison of electro and optic flow mapping for persistent AF virtual cohorts.

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Title: Automated generation of ablation lesion masks: a unison of electro and optic flow mapping for persistent AF virtual cohorts.
Authors: Jaffery OA; School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK., Lopez-Barrera CE; School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK., Rodero C; Digital Environment Research Institute, Queen Mary University of London, London E1 4HH, UK., Zolotarev AM; School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK., Good WW; School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK., Slabaugh G; Digital Environment Research Institute, Queen Mary University of London, London E1 4HH, UK., Niederer S; Digital Environment Research Institute, Queen Mary University of London, London E1 4HH, UK., Vigmond EJ; Institut de Mathématiques de Bordeaux (IMB), IHU Liryc, Bordeaux INP, CNRS, University of Bordeaux, Bordeaux 33405, France., Roney CH; School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK.
Source: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology [Europace] 2026 Jan 12; Vol. 28 (1).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100883649 Publication Model: Print Cited Medium: Internet ISSN: 1532-2092 (Electronic) Linking ISSN: 10995129 NLM ISO Abbreviation: Europace Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1532-2092
DOI:10.1093/europace/euaf290