Statistical Volume Rendering
Statistical Volume Rendering is a volume rendering technique that incorporates statistical models to represent and visualize uncertainty in volumetric data by propagating probabilistic information through the rendering pipeline.
4
Publications
217
Citations
20
Authors
8
Institutions
Publications per year
2017–2026
1
4
Statistically Quantitative Volume Visualization
Joe Kniss, Robert Van Uitert, Anna Stephens et al. · 2006 · 81 citations
Volume visualization based on statistical transfer-function spaces
Martin Haidacher, Daniel Patel, Stefan Brückner et al. · 2010 · 57 citations
Statistically Quantitative Volume Visualization
Joe Kniss, R. Van Uitert, A. Stephens et al. · 2006 · 50 citations
1–4 of 4
20
2
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1
h-index
1
h-index
1
h-index
1
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1–5 of 20
8
University of Utah
Salt Lake City, United States
3 h-index
11 publications
663 citations
National Institutes of Health
Bethesda, United States
2 h-index
2 publications
131 citations
Agfa-Gevaert (Belgium)
Mortsel, Belgium
1 h-index
1 publications
57 citations
Chr. Michelsen Institute
Bergen, Norway
1 h-index
1 publications
57 citations

TU Wien
Vienna, Austria
1 h-index
3 publications
171 citations
Agfa-Gevaert (Germany)
Leverkusen, Germany
1 h-index
1 publications
57 citations
University of Florida
Gainesville, United States
1 h-index
3 publications
87 citations
United States Department of Health and Human Services
Washington, United States
1 h-index
1 publications
50 citations
1–8 of 8
TVCG · 1 publications · 29 citations
1
h-index
1–1