Towards deep learning methods for quantification of the right ventricle using 2D echocardiography-Reference-Cited by-同舟云学术

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Towards deep learning methods for quantification of the right ventricle using 2D echocardiography

Published:2024-06-10 Issue: Volume: Page:1-3
ISSN:1479-6678
Container-title:Future Cardiology
language:en
Short-container-title:Future Cardiology

Author:

Kampaktsis Polydoros N¹^ORCID,Moustakidis Serafeim²,Siasos Gerasimos³,Vavuranakis Manolis³,Lebehn Mark¹

Affiliation:

1. Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York City, NY 10032, USA

2. AiDEAS, Tallinn, 10117, Estonia

3. Division of Cardiology, Department of Medicine, Athens University Medical School, Sotiria Hospital, Athens, 11527, Greece

Funder

Dr. Ted Goldstein

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14796678.2024.2347125

Reference20 articles.

1. Right Ventricular Function, Right Ventricular–Pulmonary Artery Coupling, and Heart Failure Risk in 4 US Communities

2. Right Ventricular Dysfunction, But Not Tricuspid Regurgitation, Is Associated With Outcome Late After Left Heart Valve Procedure

3. Right Ventricular Function in Cardiovascular Disease, Part II

4. Right Ventricular Function and Failure

5. Evaluation and Management of Right-Sided Heart Failure: A Scientific Statement From the American Heart Association

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