Hybrid Image Segmentation
Hybrid Image Segmentation is a computational method that integrates multimodal imaging data to delineate anatomical or functional regions of interest by leveraging complementary information from co-registered imaging modalities.
269
Publications
12.2K
Citations
1.2K
Authors
571
Institutions
Publications per year
2017–2026
160
269
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1.2K
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571

Shanghai Jiao Tong University
Shanghai, China
6 h-index
22 publications
651 citations

Huazhong University of Science and Technology
Wuhan, China
6 h-index
25 publications
889 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
8 publications
322 citations

Soochow University
Suzhou, China
5 h-index
22 publications
749 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
20 publications
835 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
5 h-index
9 publications
2.4K citations
National Institutes of Health
Bethesda, United States
5 h-index
13 publications
495 citations
University of Technology Malaysia
Johor Bahru, Malaysia
4 h-index
6 publications
439 citations
1–8 of 571
12 publications · 622 citations
10
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8 publications · 1.1K citations
8
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9 publications · 239 citations
8
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7 publications · 148 citations
7
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7 publications · 287 citations
6
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