Radiomics
Radiomics is a data-driven methodology within radiology informatics that extracts and analyzes high-dimensional quantitative features from medical images to uncover imaging biomarkers indicative of underlying pathophysiological processes, thereby supporting image interpretation and clinical decision-making.
4.2K
Publications
234.7K
Citations
22.4K
Authors
3.2K
Institutions
Publications per year
2017–2026
4.1K
4.2K
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies, Paul E. Kinahan, Hedvig Hricak · Radiology · 2015 · 8.3K citations
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen, Andriy Fedorov, Chintan Parmar et al. · Cancer Research · 2017 · 6.5K citations · Full text
1–5 of 4.2K
22.4K
62
h-index
39
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37
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Maastricht University Medical Centre, Netherlands
36 publications · 13.2K citations
32
h-index
31
h-index
1–5 of 22.4K
3.2K

Chinese Academy of Sciences
Beijing, China
72 h-index
655 publications
50K citations

Sun Yat-sen University
Guangzhou, China
63 h-index
1.2K publications
90.3K citations
Shandong Institute of Automation
Jinan, China
62 h-index
439 publications
42.5K citations
University of Chinese Academy of Sciences
Beijing, China
56 h-index
371 publications
26.8K citations
United Imaging Healthcare (China)
Shanghai, China
52 h-index
276 publications
13.6K citations

Beihang University
Beijing, China
52 h-index
165 publications
11.1K citations
Fudan University
Shanghai, China
51 h-index
686 publications
43.1K citations
Southern Medical University
Guangzhou, China
49 h-index
676 publications
60.2K citations
1–8 of 3.2K
320 publications · 20.7K citations
83
h-index
217 publications · 15.6K citations
64
h-index
451 publications · 14.6K citations
52
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JMRI · 116 publications · 6.6K citations
49
h-index
172 publications · 5.9K citations
44
h-index
1–5