Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation. (2021)
Attributed to:
Predicting Atrial Fibrillation Mechanisms Through Deep Learning
funded by
MRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1093/europace/euaa386
PubMed Identifier: 33437987
Publication URI: http://europepmc.org/abstract/MED/33437987
Type: Journal Article/Review
Volume: 23
Parent Publication: 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
Issue: 23 Suppl 1
ISSN: 1099-5129