Cross-sectional Visualization

Cross-Sectional Visualization is a method within structural visualization that generates two-dimensional representations of volumetric data by slicing through three-dimensional structures along a specified plane to reveal internal anatomical or spatial relationships.

31

Publications

1.8K

Citations

137

Authors

56

Institutions

Publications per year

2017–2026

5

Authors

137

  1. EH
    Earl H. Wood

    Mayo Clinic, United States

    2 publications · 84 citations

    2

    h-index

  2. EL
    Erik L. Ritman

    Mayo Clinic, United States

    2 publications · 84 citations

    2

    h-index

  3. HS
    Hyunjoo Song

    Seoul National University, South Korea

    1 publications · 12 citations

    1

    h-index

  4. TJ
    Tino Just

    University of Rostock, Germany

    1 publications · 30 citations

    1

    h-index

  5. MM
    M Moriuchi

    Nihon University, Japan

    1 publications · 12 citations

    1

    h-index

1–5 of 137

Venues

  1. Anatomical Sciences Education

    ASE · 2 publications · 156 citations

    2

    h-index

  2. Computers and Biomedical Research

    2 publications · 84 citations

    2

    h-index

  3. Advances in Engineering Software

    1 publications · 39 citations

    1

    h-index

  4. Journal of Research in Science Teaching

    JRST · 1 publications · 54 citations

    1

    h-index

  5. Advanced Optical Technologies

    1 publications · 30 citations

    1

    h-index

1–5