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
Parents
63
Clive H. Bock, Jayme Garcia Arnal Barbedo, Emerson M. Del Ponte et al. · Phytopathology Research · 2020 · 277 citations · Full text
Clive H. Bock, Kuo‐Szu Chiang, Emerson M. Del Ponte · Tropical Plant Pathology · 2021 · 180 citations · Full text
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160
United States Department of Agriculture
Washington, United States
4 h-index
4 publications
311 citations

Columbia University Irving Medical Center
New York, United States
4 h-index
10 publications
289 citations

Universidade Federal de Viçosa
Viçosa, Brazil
4 h-index
4 publications
539 citations
Southeastern Fruit and Tree Nut Research Laboratory
Byron, United States
4 h-index
4 publications
537 citations

Cornell University
Ithaca, United States
4 h-index
5 publications
239 citations
University of Bonn
Bonn, Germany
2 h-index
5 publications
533 citations
Tasmanian Institute of Agriculture
Hobart, Australia
2 h-index
2 publications
40 citations
Mayo Clinic in Arizona
Scottsdale, United States
2 h-index
1 publications
49 citations
1–8 of 160
3 publications · 129 citations
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3 publications · 242 citations
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3 publications · 298 citations
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2 publications · 73 citations
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2 publications · 53 citations
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