Early Detection of Myocardial Infarction in Low-Quality Echocardiography-Reference-Cited by-同舟云学术

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Early Detection of Myocardial Infarction in Low-Quality Echocardiography

Published:2021 Issue: Volume:9 Page:34442-34453
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Degerli Aysen^ORCID,Zabihi Morteza,Kiranyaz Serkan^ORCID,Hamid Tahir^ORCID,Mazhar Rashid^ORCID,Hamila Ridha^ORCID,Gabbouj Moncef^ORCID

Funder

NSF-Business Finland Center for Visual and Decision Informatics (CVDI) Advanced Machine Learning for Industrial Applications (AMaLIA) project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09354781.pdf?arnumber=9354781

Cited by 45 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. Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography;PLOS ONE;2024-09-12

2. Deep learning-based approaches for myocardial infarction detection: A comprehensive review recent advances and emerging challenges;Medicine in Novel Technology and Devices;2024-09

3. Enhancing left ventricular segmentation in echocardiography with a modified mixed attention mechanism in SegFormer architecture;Heliyon;2024-08

4. Myocardial Infarction Detection Using Video Frame Key-point and Gradient Matching;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. Towards a Multimodal Automatic Equipment for Predictive Health Monitoring of Industrial Workers: A Usability Perspective;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26

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