Decision-level Image Fusion
Decision-Level Image Fusion is a type of image fusion technique that integrates high-level information, such as classifications or decisions derived from multiple source images, to produce a unified decision or interpretation, distinguishing itself from pixel-level and feature-level fusion by operating on abstract outcomes rather than raw or intermediate data.
121
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6.1K
Citations
430
Authors
193
Institutions
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2017–2026
63
Parents
121
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion
Rolf A. Heckemann, Joseph V. Hajnal, Paul Aljabar et al. · NeuroImage · 2006 · 865 citations
Medicine, Neuroscience, Radiology +16
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193

Northwestern Polytechnical University
Xi'an, China
5 h-index
7 publications
594 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
349 citations
Wuhan University
Wuhan, China
4 h-index
9 publications
445 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
449 citations

Harbin Institute of Technology
Harbin, China
3 h-index
6 publications
149 citations
Middle East Technical University
Ankara, Türkiye
3 h-index
7 publications
321 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
163 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
3 h-index
4 publications
295 citations
1–8 of 193
5 publications · 312 citations
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4 publications · 249 citations
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4 publications · 315 citations
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4 publications · 185 citations
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Repository · 3 publications · 106 citations
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