Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions-Reference-Cited by-同舟云学术

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Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions

Published:2021 Issue: Volume:14 Page:181-203
ISSN:1937-3333
Container-title:IEEE Reviews in Biomedical Engineering
language:
Short-container-title:IEEE Rev. Biomed. Eng.

Author:

Zamzmi Ghada^ORCID,Hsu Li-Yueh^ORCID,Li Wen^ORCID,Sachdev Vandana,Antani Sameer^ORCID

Funder

U.S. National Library of Medicine

National Heart, Lung, and Blood Institute

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4664312/9333686/09069222.pdf?arnumber=9069222

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention;IEEE Journal of Biomedical and Health Informatics;2024-09

2. Perspectives on Resolving Diagnostic Challenges between Myocardial Infarction and Takotsubo Cardiomyopathy Leveraging Artificial Intelligence;BioMedInformatics;2024-05-13

3. Deep learning supported echocardiogram analysis: A comprehensive review;Artificial Intelligence in Medicine;2024-05

4. Video-level view classification in focused cardiac ultrasound;Medical Imaging 2024: Ultrasonic Imaging and Tomography;2024-04-01

5. Digitalisierung und Clinical Decision Tools;Herz;2024-03-07

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