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
Parents
72
Detection of Corn Gray Leaf Spot Severity Levels using Deep Learning Approach
Anupam Baliyan, Vinay Kukreja, Vikas Salonki et al. · 2021 · 116 citations
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203
University of California, San Francisco
San Francisco, United States
3 h-index
5 publications
292 citations
University College London
London, United Kingdom
3 h-index
3 publications
152 citations
Vellore Institute of Technology University
Vellore, India
3 h-index
7 publications
168 citations

Amsterdam UMC Location University of Amsterdam
Amsterdam, The Netherlands
2 h-index
7 publications
412 citations
Affiliated Hospital of North Sichuan Medical College
Nanchong, China
2 h-index
9 publications
497 citations

University of North Texas
Denton, United States
2 h-index
3 publications
81 citations
Mayo Clinic in Florida
Jacksonville, United States
2 h-index
1 publications
11 citations
IBM Research - Australia
Melbourne, Australia
2 h-index
8 publications
331 citations
1–8 of 203
4 publications · 885 citations
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2 publications · 44 citations
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2 publications · 32 citations
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AJR · 2 publications · 96 citations
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2 publications · 72 citations
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