Sparse-View Reconstruction is a computed tomography image reconstruction technique that belongs to the class of limited-data tomographic reconstruction methods, distinguished by its reliance on significantly undersampled projection views acquired over a sparse angular range to reduce radiation dose and scanning time while striving to maintain diagnostic image quality through advanced computational algorithms.
188
Publications
12.8K
Citations
709
Authors
233
Institutions
Publications per year
2017–2026
132
Publications
188
1–5 of 188
Authors
709
- JM
12
h-index
- EY
10
h-index
- XP
9
h-index
- ZL
9
h-index
- YC
8
h-index
1–5 of 709
Institutions
233
Chinese Academy of Sciences
Beijing, China
13 h-index
44 publications
1.2K citations
Southern Medical University
Guangzhou, China
12 h-index
50 publications
3.9K citations
Southeast University
Nanjing, China
11 h-index
40 publications
2.7K citations
University of Chicago
Chicago, United States
11 h-index
34 publications
3.2K citations
Stony Brook University
Stony Brook, United States
9 h-index
22 publications
2.5K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
9 h-index
25 publications
2.9K citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
8 h-index
37 publications
2.2K citations
Sichuan University
Chengdu, China
6 h-index
20 publications
1.4K citations
1–8 of 233
Venues
- IEEE Transactions on Medical Imaging
16 publications · 2.7K citations
16
h-index
- Physics in Medicine and Biology
12 publications · 1.3K citations
12
h-index
- Medical Physics
11 publications · 406 citations
11
h-index
- arXiv (Cornell University)
Repository · 12 publications · 453 citations
11
h-index
- IEEE Transactions on Computational Imaging
8 publications · 416 citations
8
h-index
1–5