Image-based Severity Assessment

Image-Based Severity Assessment is a methodological framework within disease severity assessment that utilizes medical imaging data to quantify the extent and intensity of pathological conditions, distinguished by its reliance on visual biomarkers derived from imaging modalities to evaluate disease progression and clinical impact.

72

Publications

3.2K

Citations

419

Authors

203

Institutions

Publications per year

2017–2026

51

Authors

419

  1. WH
    Wei Huang

    Nanchang University, China

    2 publications · 44 citations

    2

    h-index

  2. JW
    Johnny Wong

    Iowa State University, United States

    1 publications · 27 citations

    2

    h-index

  3. WT
    Wallapak Tavanapong

    Iowa State University, United States

    1 publications · 27 citations

    2

    h-index

  4. RG
    Rahil Garnavi

    IBM Research - Australia, Australia

    2 publications · 73 citations

    2

    h-index

  5. DM
    Dwarikanath Mahapatra

    ETH Zurich, Switzerland

    2 publications · 75 citations

    2

    h-index

1–5 of 419

Venues

  1. European Radiology

    4 publications · 885 citations

    4

    h-index

  2. Computer Methods and Programs in Biomedicine

    2 publications · 44 citations

    2

    h-index

  3. Diagnostics

    2 publications · 32 citations

    2

    h-index

  4. American Journal of Roentgenology

    AJR · 2 publications · 96 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 72 citations

    2

    h-index

1–5