Classification Of Volume Data
Classification of Volume Data is a methodological framework within medical volume visualization that distinguishes volumetric datasets by assigning tissue types or anatomical structures to discrete visual representations based on scalar intensity values, gradient magnitudes, or spatial features derived from 3D imaging modalities.
136
Publications
8K
Citations
534
Authors
258
Institutions
Publications per year
2017–2026
42
Parents
136
Magnetic Resonance Image Tissue Classification Using a Partial Volume Model
David W. Shattuck, S. Sandor-Leahy, Kirt Schaper et al. · NeuroImage · 2001 · 957 citations
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University of California, Davis
Davis, United States
10 h-index
25 publications
1.9K citations
Tsinghua University
Beijing, China
3 h-index
10 publications
566 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
12 publications
314 citations
University of California System
Oakland, United States
3 h-index
3 publications
320 citations
Harvard University
Cambridge, United States
3 h-index
4 publications
133 citations
Bielefeld University
Bielefeld, Germany
2 h-index
7 publications
428 citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
2K citations
Imaging Center
Fort Wayne, United States
2 h-index
3 publications
2.1K citations
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TVCG · 12 publications · 818 citations
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8 publications · 811 citations
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6 publications · 201 citations
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4 publications · 1.1K citations
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3 publications · 160 citations
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