Volume Visualization Quality Assessment

Volume Visualization Quality Assessment is a systematic methodology for evaluating the effectiveness, accuracy, and perceptual fidelity of volume visualization techniques in representing three-dimensional scalar fields, distinguished by its focus on quantifying how well visual representations preserve and convey the underlying volumetric data properties.

11

Publications

476

Citations

37

Authors

23

Institutions

Publications per year

2017–2026

0

Authors

37

  1. HS
    Han‐Wei Shen

    The Ohio State University, United States

    2 publications · 89 citations

    2

    h-index

  2. LC
    Ling-Jen Chiang

    Ames Research Center, United States

    1 publications · 56 citations

    1

    h-index

  3. RT
    Roel Truyen

    Amsterdam UMC Location University of Amsterdam, Netherlands

    1 publications · 12 citations

    1

    h-index

  4. MF
    Miquel Feixas

    Universitat de Girona, Spain

    1 publications · 18 citations

    1

    h-index

  5. TS
    Thomas Schiemann

    Eppendorf (Germany), Germany

    1 publications · 73 citations

    1

    h-index

1–5 of 37

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 83 citations

    3

    h-index

  2. Signal Processing Image Communication

    1 publications · 24 citations

    1

    h-index

  3. 1

    h-index

  4. Artificial Intelligence

    1 publications · 84 citations

    1

    h-index

  5. Medical Image Analysis

    1 publications · 73 citations

    1

    h-index

1–5