Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution-Reference-Cited by-同舟云学术

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Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution

Published:2024-09 Issue:9 Volume:28 Page:5136-5146
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Song Zhaoyang¹^ORCID,Qiu Defu²^ORCID,Zhao Xiaoqiang¹^ORCID,Liu Ruijuan³^ORCID,Hui Yongyong¹^ORCID,Jiang Hongmei¹^ORCID

Affiliation:

1. College of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou, China

2. Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China

3. Department of Anesthesiology, Gansu Provincial Hospital, Lanzhou, China

Funder

National Natural Science Foundation of China

Science and Technology Project of Gansu Province

Gansu Joint Scientific Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10666866/10413550.pdf?arnumber=10413550

Reference43 articles.

1. Deep learning-based cardiovascular image diagnosis: A promising challenge

2. Atrial Fibrillation Prediction With Residual Network Using Sensitivity and Orthogonality Constraints

3. Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-Resolution

4. Detecting Atrial Fibrillation and Atrial Flutter in Daily Life Using Photoplethysmography Data

5. Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution

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