Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation
- 1School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
- 2Department of Biomedical Engineering, ETHZürich, Zurich, Switzerland
- 3Department of Computer Science, University of Oxford, Oxford, United Kingdom
A Corrigendum on
Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation
by Muizniece, L., Bertagnoli, A., Qureshi, A., Zeidan, A., Roy, A., Muffoletto, M., and Aslanidi, O. (2021). Front. Physiol. 12:733139. doi: 10.3389/fphys.2021.733139
There is an error in the Funding statement. The correct number for **British Heart Foundation** is **PG/15/8/31130**.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: atrial fibrillation, catheter ablation, patient imaging, reinforcement learning, deep learning
Citation: Muizniece L, Bertagnoli A, Qureshi A, Zeidan A, Roy A, Muffoletto M and Aslanidi O (2021) Corrigendum: Reinforcement Learning to Improve Image-Guidance of Ablation Therapy for Atrial Fibrillation. Front. Physiol. 12:799585. doi: 10.3389/fphys.2021.799585
Received: 21 October 2021; Accepted: 22 October 2021;
Published: 09 November 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Muizniece, Bertagnoli, Qureshi, Zeidan, Roy, Muffoletto and Aslanidi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Oleg Aslanidi, b2xlZy5hc2xhbmlkaSYjeDAwMDQwO2tjbC5hYy51aw==