Spectral Embedding
Spectral Embedding is a dimensionality reduction technique that derives low-dimensional representations of data by performing eigen-decomposition on a graph Laplacian matrix to preserve the global geometric structure of the data manifold.
260
Publications
16.2K
Citations
697
Authors
292
Institutions
Publications per year
2017–2026
129
260
FastSurfer - A fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel, Sailesh Conjeti, Santiago Estrada et al. · NeuroImage · 2020 · 661 citations · Full text
Medicine, Anatomy, Neuroscience +17
Tian Xia, Dacheng Tao, Tao Mei et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2010 · 524 citations
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Northwestern Polytechnical University
Xi'an, China
16 h-index
40 publications
3.4K citations

Johns Hopkins University
Baltimore, United States
12 h-index
33 publications
3K citations

Xidian University
Xi'an, China
9 h-index
20 publications
737 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
8 publications
191 citations

National University of Defense Technology
Changsha, China
8 h-index
31 publications
2.8K citations
Yale University
New Haven, United States
6 h-index
11 publications
583 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
11 publications
354 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
10 publications
1.9K citations
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Repository · 13 publications · 314 citations
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TKDE · 8 publications · 616 citations
9
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8 publications · 950 citations
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TPAMI · 7 publications · 308 citations
7
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6 publications · 480 citations
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