Coarse–Super-Resolution–Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution

Author:

Zhi Shaohua1ORCID,Wang Yinghui1ORCID,Xiao Haonan1,Bai Ti2ORCID,Li Bing3,Tang Yunsong1,Liu Chenyang1ORCID,Li Wen1ORCID,Li Tian1ORCID,Ge Hong3,Cai Jing1ORCID

Affiliation:

1. Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China

2. Department of Radiation Oncology, Medical Artificial Intelligence and Automation (MAIA) Laboratory, University of Texas Southwestern Medical Center, Dallas, TX, USA

3. Department of Radiation Oncology and the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China

Funder

Research Grants from the Centrally Funded Postdoctoral Fellowship

The Hong Kong Polytechnic University, General Research Fund

University Grants Committee

Health and Medical Research Fund

Health Bureau

Government of the Hong Kong Special Administrative Regions

Henan Provincial Medical Science and Technology Research Project

Henan Province Key Research and Development and Promotion Project

Natural Science Foundation of Henan Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 1 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. A boosted degradation representation learning for blind image super-resolution;Engineering Applications of Artificial Intelligence;2024-07

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