Segmenting Cardiac Ultrasound Videos Using Self-Supervised Learning-Reference-Cited by-同舟云学术

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Segmenting Cardiac Ultrasound Videos Using Self-Supervised Learning

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Lamoureux Erik¹,Ayromlou Sana²,Ahmadi Amiri Seyedeh Neda²,Rhodin Helge³

Affiliation:

1. University of British Columbia Vancouver,Mechanical Engineering,BC,Canada,V6T 1Z4

2. University of British Columbia Vancouver,Electrical and Computer Engineering,BC,Canada,V6T 1Z4

3. University of British Columbia Vancouver,Computer Science,BC,Canada,V6T 1Z4

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340526.pdf?arnumber=10340526

Reference39 articles.

1. Left ventricular ejection fraction as a prognostic guide in surgical treatment of coronary and valvular heart disease

2. Heart Failure With Reduced Ejection Fraction

3. Significance of Ischemic Heart Disease in Patients With Heart Failure and Preserved, Midrange, and Reduced Ejection Fraction

4. Automatic Cardiac View Classification of Echocardiogram

5. Fully Automatic Real-Time Ejection Fraction and MAPSE Measurements in 2D Echocardiography Using Deep Neural Networks

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