Optimization-based Reconstruction
Optimization-Based Reconstruction is an inverse problem solving framework that formulates the reconstruction of an unknown signal or parameter field as a mathematical optimization task, where the solution is determined by minimizing a cost functional composed of data fidelity and regularization terms.
248
Publications
31.7K
Citations
686
Authors
332
Institutions
Publications per year
2017–2026
85
248
1–5 of 248
686
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332
University of Chicago
Chicago, United States
12 h-index
54 publications
2.7K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
20 publications
1.1K citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
8 publications
17.8K citations
California Institute of Technology
Pasadena, United States
5 h-index
10 publications
32.5K citations

Washington University in St. Louis
St Louis, United States
4 h-index
5 publications
191 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
261 citations
Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
7 publications
760 citations

Tamkang University
Taipei, Taiwan
4 h-index
8 publications
306 citations
1–8 of 332
14 publications · 585 citations
13
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11 publications · 2.2K citations
10
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9 publications · 503 citations
9
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6 publications · 865 citations
6
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Repository · 5 publications · 201 citations
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