Patient-specific Visualization

Patient-Specific Visualization is a computational visualization method that generates anatomical, physiological, or pathological representations uniquely derived from an individual patient’s medical data to support personalized clinical decision-making.

31

Publications

810

Citations

147

Authors

67

Institutions

Publications per year

2017–2026

11

Authors

147

  1. BP
    Bernhard Preim

    Otto-von-Guericke-Universität Magdeburg, Germany

    3 publications · 90 citations

    3

    h-index

  2. KZ
    Ke Zhou

    University of Nottingham, United Kingdom

    1 publications · 16 citations

    1

    h-index

  3. NA
    N.J. Avis

    University of Hull, United Kingdom

    1 publications · 57 citations

    1

    h-index

  4. FV
    Franck Vidal

    Centre National de la Recherche Scientifique, France

    1 publications · 57 citations

    1

    h-index

  5. GF
    Gregory F. Cooper

    University of Pittsburgh, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 147

Venues

  1. PubMed

    Repository · 6 publications · 126 citations

    6

    h-index

  2. Computer Graphics Forum

    3 publications · 107 citations

    3

    h-index

  3. Methods of Information in Medicine

    2 publications · 55 citations

    2

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 16 citations

    1

    h-index

  5. Measurement

    1 publications · 15 citations

    1

    h-index

1–5