Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos-Reference-Cited by-同舟云学术

Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos

Published:2023-05 Issue:5 Volume:42 Page:1446-1461
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Dai Weihang¹^ORCID,Li Xiaomeng²^ORCID,Ding Xinpeng³^ORCID,Cheng Kwang-Ting⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China

2. Department of Electronic and Computer Engineering and Shenzhen Research Institute, Hong Kong University of Science and Technology, Hong Kong, SAR, China

3. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China

4. Department of Computer Science and Engineering and the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China

Funder

National Natural Science Foundation of China/Research Grants Council Joint Research Scheme

Shenzhen Municipal Central Government Guides Local Science and Technology Development Special Funded Projects

Beijing Institute of Collaborative Innovation (BICI) under collaboration with HKUST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10114431/09984674.pdf?arnumber=9984674

Reference60 articles.

1. Deep learning interpretation of echocardiograms

2. Is self-supervised learning more robust than supervised learning?;zhong;arXiv 2206 05259,2022

3. Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

4. Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography

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