Hierarchical Registration
Hierarchical Registration is a registration method that operates by sequentially aligning data across multiple scales or levels of resolution, beginning with coarse-level alignment to guide finer-level refinements.
39
Publications
3.6K
Citations
144
Authors
69
Institutions
Publications per year
2017–2026
10
Parents
39
Automatic 3‐D model‐based neuroanatomical segmentation
D. Louis Collins, Colin J. Holmes, T.M. Peters et al. · Human Brain Mapping · 1995 · 989 citations
Medicine, Anatomy, Neuroscience +17
Robust image registration using log-polar transform
George Wolberg, Siavash Zokai · 2002 · 267 citations
1–5 of 39
144
University of North Carolina at Chapel Hill, United States
6 publications · 181 citations
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3
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2
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2
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1–5 of 144
69
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
13 publications
445 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
5 publications
263 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
177 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
5 publications
70 citations
Wuhan University
Wuhan, China
2 h-index
8 publications
565 citations

Imperial College London
London, United Kingdom
2 h-index
5 publications
842 citations

Shanghai University
Shanghai, China
2 h-index
3 publications
222 citations

McGill University
Montreal, Canada
2 h-index
9 publications
4K citations
1–8 of 69
LNCS · Book series · 4 publications · 67 citations
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2 publications · 500 citations
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2 publications · 1K citations
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2 publications · 25 citations
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2 publications · 120 citations
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