Statistical Reconstruction
Statistical Reconstruction is a computational imaging method that belongs to the class of image reconstruction techniques and is distinguished by its use of probabilistic models to estimate the most likely image given measured data and a statistical description of noise and system physics.
254
Publications
22.1K
Citations
975
Authors
429
Institutions
Publications per year
2017–2026
41
Parents
254
John Ollinger, Jeffrey A. Fessler · IEEE Signal Processing Magazine · 1997 · 1.2K citations · Full text
1–5 of 254
975
14
h-index
13
h-index
7
h-index
7
h-index
7
h-index
1–5 of 975
429
University Medical Center Utrecht
Utrecht, The Netherlands
15 h-index
50 publications
4.6K citations
University of Michigan
Ann Arbor, United States
13 h-index
35 publications
4K citations

Washington University in St. Louis
St Louis, United States
12 h-index
25 publications
2.6K citations
University of Washington
Seattle, United States
11 h-index
25 publications
1.1K citations

Johns Hopkins University
Baltimore, United States
8 h-index
41 publications
1.3K citations
University of Southern California
Los Angeles, United States
8 h-index
16 publications
1K citations
Southern Medical University
Guangzhou, China
7 h-index
12 publications
815 citations
Stony Brook University
Stony Brook, United States
7 h-index
31 publications
892 citations
1–8 of 429
27 publications · 1.7K citations
21
h-index
16 publications · 1.7K citations
15
h-index
14 publications · 1.5K citations
14
h-index
11 publications · 342 citations
10
h-index
7 publications · 387 citations
7
h-index
1–5