Digital Anatomy Visualization

Digital Anatomy Visualization is a computational visualization method that enables the three-dimensional representation and interactive exploration of anatomical structures derived from digital medical imaging data, distinguished by its focus on accurate, high-resolution rendering of biological morphology for educational, clinical, or research purposes.

54

Publications

3K

Citations

279

Authors

109

Institutions

Publications per year

2017–2026

10

Authors

279

  1. BS
    Beom Sun Chung

    Ajou University, South Korea

    3 publications · 75 citations

    3

    h-index

  2. QL
    Qian Liu

    Huazhong University of Science and Technology, China

    3 publications · 84 citations

    3

    h-index

  3. MS
    Min Suk Chung

    Ajou University, South Korea

    3 publications · 83 citations

    3

    h-index

  4. JS
    Jin Seo Park

    Dongguk University, South Korea

    3 publications · 76 citations

    3

    h-index

  5. WS
    W. Stein

    Heidelberg University, Germany

    2 publications · 37 citations

    2

    h-index

1–5 of 279

Venues

  1. Clinical Anatomy

    5 publications · 223 citations

    5

    h-index

  2. The Anatomical Record

    3 publications · 141 citations

    3

    h-index

  3. Computers in Biology and Medicine

    2 publications · 47 citations

    2

    h-index

  4. International Journal of Morphology

    2 publications · 73 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 213 citations

    2

    h-index

1–5