Quantitative Imaging Visualization

Quantitative Imaging Visualization is a radiological visualization method that enables the spatial representation and interpretation of quantified imaging biomarkers derived from medical images, distinguishing it from qualitative visualization by emphasizing numerical accuracy, reproducibility, and objective analysis in diagnostic and research contexts.

35

Publications

1.8K

Citations

202

Authors

78

Institutions

Publications per year

2017–2026

15

Authors

202

  1. GL
    Guang Li

    University of Maryland, Baltimore, United States

    2 publications · 54 citations

    2

    h-index

  2. DD
    David Dreizin

    University of Maryland, Baltimore, United States

    2 publications · 54 citations

    2

    h-index

  3. SL
    Sam-Sun Lee

    Seoul National University Dental Hospital, South Korea

    1 publications · 16 citations

    1

    h-index

  4. MT
    Maria Thor

    Memorial Sloan Kettering Cancer Center, United States

    1 publications · 144 citations

    1

    h-index

  5. TC
    Tina Chen

    University of Massachusetts Amherst, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 202

Venues

  1. Nature Communications

    2 publications · 186 citations

    2

    h-index

  2. PubMed

    Repository · 2 publications · 201 citations

    2

    h-index

  3. Magnetic Resonance Imaging

    2 publications · 66 citations

    2

    h-index

  4. Medical Physics

    1 publications · 144 citations

    1

    h-index

  5. 1

    h-index

1–5