Probabilistic Transfer Functions
Probabilistic Transfer Function is a volume visualization technique that extends traditional transfer functions by mapping statistical distributions of volumetric data to optical properties, thereby enabling the visual representation of uncertainty in scalar fields through probabilistic membership assignments.
24
Publications
1.2K
Citations
68
Authors
36
Institutions
Publications per year
2017–2026
4
Variants
Probabilistic Transfer Function
24
Statistically Quantitative Volume Visualization
Joe Kniss, Robert Van Uitert, Anna Stephens et al. · 2006 · 81 citations
Zhinong Wei, Sheng Chen, Guoqiang Sun et al. · Applied Energy · 2015 · 60 citations
Engineering, Electrical Engineering, Systems Engineering +13
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University of Notre Dame
Notre Dame, United States
3 h-index
5 publications
158 citations
National Institutes of Health
Bethesda, United States
2 h-index
2 publications
131 citations
University of Michigan
Ann Arbor, United States
2 h-index
5 publications
141 citations
Tongji University
Shanghai, China
2 h-index
2 publications
37 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
4 publications
65 citations
University of Utah
Salt Lake City, United States
2 h-index
9 publications
605 citations
Massachusetts General Hospital
Boston, United States
1 h-index
1 publications
17 citations
Sectra (Sweden)
Linköping, Sweden
1 h-index
2 publications
272 citations
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TVCG · 3 publications · 181 citations
3
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2 publications · 142 citations
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Repository · 1 publications · 10 citations
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1 publications · 26 citations
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1 publications · 22 citations
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