Multi-modal Reconstruction
Multi-Modal Reconstruction is a three-dimensional reconstruction method that integrates data from multiple imaging modalities to produce a more comprehensive and accurate spatial representation than achievable with a single modality alone.
69
Publications
2.4K
Citations
275
Authors
141
Institutions
Publications per year
2017–2026
49
69
Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction
Lei Xiang, Yong Chen, Wei‐Tang Chang et al. · IEEE Transactions on Biomedical Engineering · 2018 · 162 citations · Full text
Ruohan Gao, Kristen Grauman · 2019 · 155 citations
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer
Florian Knöll, Martin Höller, Thomas Koesters et al. · IEEE Transactions on Medical Imaging · 2016 · 130 citations · Full text
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University of California, Santa Barbara, United States
2 publications · 72 citations
2
h-index
2
h-index
1–5 of 275
141

Centre National de la Recherche Scientifique
Paris, France
6 h-index
9 publications
610 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
7 publications
634 citations
University of Oxford
Oxford, United Kingdom
3 h-index
2 publications
34 citations
Inserm
Paris, France
3 h-index
9 publications
1.8K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
2 publications
50 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
56 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
2 h-index
6 publications
717 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
1 publications
31 citations
1–8 of 141
2 publications · 173 citations
4
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1 publications · 40 citations
4
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3 publications · 133 citations
3
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LNCS · Book series · 3 publications · 161 citations
3
h-index
2 publications · 57 citations
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1–5