Image-based Risk Stratification
Image-Based Risk Stratification is a clinical decision-support framework that uses radiological imaging features to categorize renal masses according to their likelihood of malignancy, aggressiveness, or progression risk, thereby differentiating it from non-imaging-based prognostic methods.
60
Publications
2.4K
Citations
536
Authors
215
Institutions
Publications per year
2017–2026
47
Parents
60
CT-based radiomic model predicts high grade of clear cell renal cell carcinoma
Jiule Ding, Zhaoyu Xing, Zhenxing Jiang et al. · European Journal of Radiology · 2018 · 149 citations
Janine Gote-Schniering, Małgorzata Maciukiewicz, Hubert S. Gabryś et al. · European Respiratory Journal · 2021 · 94 citations · Full text
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Memorial Sloan Kettering Cancer Center, United States
2 publications · 42 citations
2
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1–5 of 536
215
Mayo Clinic
Rochester, United States
5 h-index
19 publications
923 citations

Sun Yat-sen University
Guangzhou, China
4 h-index
14 publications
458 citations
United Imaging Healthcare (China)
Shanghai, China
4 h-index
7 publications
245 citations
Shandong Provincial Hospital
Jinan, China
4 h-index
24 publications
392 citations
Shandong University
Jinan, China
3 h-index
21 publications
352 citations
Shandong First Medical University
Jinan, China
3 h-index
9 publications
122 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
20 publications
1.2K citations
Shenzhen University Health Science Center
Shenzhen, China
2 h-index
4 publications
208 citations
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8 publications · 314 citations
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EJR · 6 publications · 471 citations
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6 publications · 131 citations
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3 publications · 115 citations
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3 publications · 83 citations
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