Visual Severity Estimation

Visual Severity Estimation is a methodological framework in disease severity assessment that quantifies the extent and intensity of pathological manifestations through visual inspection, distinguishing itself by relying on human or computational interpretation of clinical imagery or phenotypic features to derive severity scores without invasive procedures.

63

Publications

2.9K

Citations

304

Authors

160

Institutions

Publications per year

2017–2026

35

Authors

304

  1. CH
    Clive H. Bock

    Agricultural Research Service, United States

    6 publications · 618 citations

    6

    h-index

  2. EM
    Emerson M. Del Ponte

    Universidade Federal de Viçosa, Brazil

    6 publications · 613 citations

    6

    h-index

  3. JM
    Jeffrey M. Liebmann

    New York Eye and Ear Infirmary, United States

    4 publications · 170 citations

    4

    h-index

  4. AM
    Anne‐Katrin Mahlein

    University of Bonn, Germany

    3 publications · 408 citations

    3

    h-index

  5. RG
    Robert G. Dambergs

    Australian Wine Research Institute, Australia

    2 publications · 40 citations

    2

    h-index

1–5 of 304

Venues

  1. Journal of Glaucoma

    3 publications · 129 citations

    3

    h-index

  2. Plant Disease

    3 publications · 242 citations

    3

    h-index

  3. Phytopathology

    3 publications · 298 citations

    3

    h-index

  4. Catheterization and Cardiovascular Diagnosis

    2 publications · 73 citations

    2

    h-index

  5. 2

    h-index

1–5