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Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation. (2021)

First Author: Corrado C
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