Spatial Image Analysis
Spatial Image Analysis is a computational method that distinguishes itself by enabling the quantitative characterization of biological structures and molecular distributions within tissues through the systematic processing and interpretation of high-resolution imaging data in their native spatial context.
295
Publications
18.9K
Citations
1.3K
Authors
527
Institutions
Publications per year
2017–2026
82
Parents
295
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
Honggu Liu, Xiaodan Li, Wenbo Zhou et al. · 2021 · 523 citations
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Centre National de la Recherche Scientifique
Paris, France
10 h-index
30 publications
1.2K citations
University of California San Diego
San Diego, United States
8 h-index
41 publications
2.7K citations
University of Washington
Seattle, United States
7 h-index
31 publications
4.6K citations
Harvard University
Cambridge, United States
7 h-index
25 publications
712 citations
Tsinghua University
Beijing, China
6 h-index
28 publications
967 citations
Heidelberg University
Heidelberg, Germany
5 h-index
16 publications
602 citations
University of California, San Francisco
San Francisco, United States
4 h-index
7 publications
170 citations
Mississippi State University
Starkville, United States
4 h-index
11 publications
184 citations
1–8 of 527
7 publications · 401 citations
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7 publications · 807 citations
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7 publications · 351 citations
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7 publications · 167 citations
7
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6 publications · 451 citations
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