Image-based machine learning supporting surgical mitral annuloplasty ring sizing—a four-dimensional perspective-Reference-Cited by-同舟云学术

Image-based machine learning supporting surgical mitral annuloplasty ring sizing—a four-dimensional perspective

Published:2023-07-01 Issue:1 Volume:64 Page:
ISSN:1873-734X
Container-title:European Journal of Cardio-Thoracic Surgery
language:en
Short-container-title:

Author:

Rausch Manuel K¹,Grundmann Sebastian²,Libera Paul³,Bothe Wolfgang³

Affiliation:

1. Department of Aerospace Engineering & Engineering Mechanics, The University of Texas at Austin , Austin, TX, USA

2. Department of Cardiology and Angiology, Heart Center Freiburg—Bad Krozingen, Faculty of Medicine, University of Freiburg , Freiburg, Germany

3. Department of Cardiovascular Surgery, Heart Center Freiburg—Bad Krozingen, Faculty of Medicine, University of Freiburg , Freiburg, Germany

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,General Medicine,Surgery

Link

https://academic.oup.com/ejcts/advance-article-pdf/doi/10.1093/ejcts/ezad262/50967907/ezad262.pdf

Reference12 articles.

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2. Restrictive annuloplasty for ischemic mitral regurgitation may induce functional mitral stenosis;Magne;J Am Coll Cardiol,2008

3. Echocardiographic correlates of left ventricular outflow obstruction and systolic anterior motion following mitral valve repair;Shah;J Heart Valve Dis,2001

4. Evolving concepts and technologies in mitral valve repair;Fedak;Circulation,2008

5. Image-based ring size prediction for mitral valve repair;Akansel;Eur J Cardiothorac Surg

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