Spherical Embedding
Spherical Embedding is a mathematical framework that represents data points as coordinates on the surface of a sphere, distinguishing itself from other embedding methods by preserving angular relationships and enabling natural modeling of directional or periodic data within spherical geometry.
56
Publications
2.7K
Citations
123
Authors
81
Institutions
Publications per year
2017–2026
16
Parents
56
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
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Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
9 publications
706 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
6 publications
385 citations
University of Nizwa
Nizwá, Oman
2 h-index
5 publications
103 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
2 publications
127 citations

University of York
York, United Kingdom
2 h-index
4 publications
254 citations

Philadelphia University
Philadelphia, United States
2 h-index
4 publications
341 citations
Aalto University
Espoo, Finland
2 h-index
4 publications
64 citations

University of Manchester
Manchester, United Kingdom
2 h-index
2 publications
127 citations
1–8 of 81
TRAN · 3 publications · 54 citations
3
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2 publications · 46 citations
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2 publications · 116 citations
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Repository · 2 publications · 35 citations
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CMH · 2 publications · 36 citations
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