Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography-Reference-Cited by-同舟云学术

Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography

Author:

Wu Qing¹^ORCID,Feng Ruimin²,Wei Hongjiang²^ORCID,Yu Jingyi¹^ORCID,Zhang Yuyao³^ORCID

Affiliation:

1. School of Information Science and Technology, ShanghaiTech University, Shanghai, China

2. School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

3. School of Information Science and Technology and iHuman Institute, ShanghaiTech University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Mathematics,Computer Science Applications,Signal Processing

Link

Reference48 articles.

1. Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT;sidky;J X-Ray Sci Technol,2006

2. Uncertainr: Uncertainty quantification of end-to-end implicit neural representations for computed tomography;vasconcelos,2022

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