3D Segmentation
3D Segmentation is a computational technique in 3D imaging that partitions a three-dimensional spatial domain into distinct, meaningful regions or objects based on localized intensity, texture, or anatomical characteristics to facilitate precise structure identification and analysis.
1.4K
Publications
88.5K
Citations
4.8K
Authors
1.5K
Institutions
Publications per year
2017–2026
447
Parents
1.4K
1–5 of 1.4K
4.8K
Institut national de recherche en sciences et technologies du numérique, France
14 publications · 1.4K citations
13
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12
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12
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11
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University of North Carolina at Chapel Hill, United States
11 publications · 693 citations
11
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1–5 of 4.8K
1.5K

Centre National de la Recherche Scientifique
Paris, France
30 h-index
150 publications
6.9K citations
Harvard University
Cambridge, United States
22 h-index
89 publications
15.7K citations
Siemens (United States)
Princeton, United States
18 h-index
52 publications
3.1K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
18 h-index
48 publications
4.3K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
17 h-index
90 publications
43.9K citations
University of Pennsylvania
Philadelphia, United States
17 h-index
56 publications
22.1K citations
University of Iowa
Iowa City, United States
17 h-index
71 publications
7.6K citations

Johns Hopkins University
Baltimore, United States
17 h-index
58 publications
4.4K citations
1–8 of 1.5K
45 publications · 7.5K citations
40
h-index
43 publications · 4.9K citations
34
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LNCS · Book series · 44 publications · 1.9K citations
26
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82 publications · 1.9K citations
24
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CMIG · 25 publications · 1.4K citations
21
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