A deep learning algorithm to translate and classify cardiac electrophysiology

Authors

Parya Aghasafari, University of California, Davis
Pei-Chi Yang, University of California, Davis
Divya C. Kernik, Washington University School of Medicine in St. Louis
Kazuho Sakamoto, University of Shizuoka
Yasunari Kanda, National Institute of Health Sciences
Junko Kurokawa, University of Shizuoka
Igor Vorobyov, University of California, Davis
Colleen E. Clancy, University of California, Davis

Journal

Elife

Publication Date

7-2-2021

Volume

10

First Page

e68335

Document Type

Open Access Publication

DOI

10.7554/eLife.68335

Rights and Permissions

eLife 2021;10:e68335 DOI: 10.7554/eLife.68335.© 2021, Aghasafari et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Recommended Citation

Aghasafari, Parya; Yang, Pei-Chi; Kernik, Divya C.; Sakamoto, Kazuho; Kanda, Yasunari; Kurokawa, Junko; Vorobyov, Igor; and Clancy, Colleen E., "A deep learning algorithm to translate and classify cardiac electrophysiology." Elife. 10, e68335 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10495