Computer-aided Landmark Detection
Computer-Aided Landmark Detection is an automated computational method that identifies anatomical landmarks in medical images by integrating algorithmic analysis with anatomical knowledge to enhance precision and efficiency in morphological assessment.
202
Publications
9.5K
Citations
923
Authors
388
Institutions
Publications per year
2017–2026
83
202
1–5 of 202
923
University of North Carolina at Chapel Hill, United States
5 publications · 378 citations
5
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4
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4
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4
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3
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1–5 of 923
388
Siemens (United States)
Princeton, United States
6 h-index
18 publications
1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
6 h-index
23 publications
1.6K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
5 h-index
16 publications
607 citations
Inserm
Paris, France
5 h-index
21 publications
3K citations
Siemens (Germany)
Munich, Germany
5 h-index
18 publications
810 citations
University of Oxford
Oxford, United Kingdom
5 h-index
15 publications
442 citations

Johns Hopkins University
Baltimore, United States
5 h-index
22 publications
571 citations
Heidelberg University
Heidelberg, Germany
4 h-index
9 publications
244 citations
1–8 of 388
9 publications · 1.2K citations
9
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8 publications · 852 citations
8
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8 publications · 238 citations
8
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LNCS · Book series · 7 publications · 312 citations
7
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IJCARS · 6 publications · 297 citations
6
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1–5