Probabilistic Registration
Probabilistic Registration is a sensor registration method that models alignment uncertainties using probability distributions to distinguish itself from deterministic approaches by explicitly accounting for statistical errors in spatial or temporal correspondence.
62
Publications
3.1K
Citations
190
Authors
101
Institutions
Publications per year
2017–2026
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101
Harvard University
Cambridge, United States
6 h-index
19 publications
309 citations
University of Oxford
Oxford, United Kingdom
5 h-index
19 publications
713 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
15 publications
570 citations

Brigham and Women's Hospital
Boston, United States
5 h-index
21 publications
527 citations
Wellcome Centre for Integrative Neuroimaging
Oxford, United Kingdom
4 h-index
10 publications
476 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
10 publications
1.2K citations

Linköping University
Linköping, Sweden
3 h-index
14 publications
521 citations
University College London
London, United Kingdom
3 h-index
12 publications
319 citations
1–8 of 101
LNCS · Book series · 5 publications · 80 citations
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TPAMI · 4 publications · 359 citations
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3 publications · 136 citations
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3 publications · 122 citations
3
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3 publications · 561 citations
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