Registration Metrics
Registration Metrics is a quantitative framework used to evaluate the similarity or dissimilarity between images in the process of image registration, distinguished by its specific mathematical formulation designed to guide the alignment of spatial correspondences across multimodal or temporal image data.
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19.6K
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708
Authors
311
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2017–2026
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The Insight ToolKit image registration framework
Brian Avants, Nicholas J. Tustison, Michael Stauffer et al. · Frontiers in Neuroinformatics · 2014 · 708 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
8 h-index
13 publications
954 citations
University of Pennsylvania
Philadelphia, United States
7 h-index
19 publications
29.5K citations
Harvard University
Cambridge, United States
6 h-index
11 publications
289 citations
University Medical Center Utrecht
Utrecht, The Netherlands
6 h-index
23 publications
1.4K citations

University of Ljubljana
Ljubljana, Slovenia
5 h-index
15 publications
386 citations

McGill University
Montreal, Canada
5 h-index
15 publications
1.4K citations
University of Oxford
Oxford, United Kingdom
5 h-index
9 publications
2K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
9 publications
1.5K citations
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14 publications · 1.9K citations
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LNCS · Book series · 14 publications · 789 citations
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10 publications · 905 citations
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10 publications · 381 citations
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10 publications · 570 citations
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