Model-based Reconstruction
Model-Based Reconstruction is a reconstruction methodology that employs a forward model of the imaging process to iteratively refine an image estimate by minimizing a cost function incorporating physical, statistical, or prior knowledge-based constraints.
608
Publications
32K
Citations
2.4K
Authors
796
Institutions
Publications per year
2017–2026
274
Parents
608
Image reconstruction from incomplete and noisy data
S. F. Gull, G.J. Daniell · Nature · 1978 · 965 citations
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Purdue University West Lafayette
West Lafayette, United States
20 h-index
87 publications
5.5K citations

Johns Hopkins University
Baltimore, United States
19 h-index
130 publications
4K citations
University of Michigan
Ann Arbor, United States
13 h-index
50 publications
2.2K citations
The University of Tokyo
Tokyo, Japan
12 h-index
61 publications
5K citations
University of Lausanne
Lausanne, Switzerland
11 h-index
49 publications
2.3K citations
Tsinghua University
Beijing, China
10 h-index
37 publications
3K citations
Massachusetts General Hospital
Boston, United States
10 h-index
55 publications
2.1K citations

Chinese Academy of Sciences
Beijing, China
9 h-index
36 publications
1.2K citations
1–8 of 796
27 publications · 2.6K citations
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AJR · 19 publications · 938 citations
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26 publications · 1.2K citations
17
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19 publications · 996 citations
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JCAT · 12 publications · 318 citations
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