Computer-aided Report Generation
Computer-Aided Report Generation is a computational methodology within the domain of medical informatics that automates the creation of structured diagnostic reports by integrating clinical data, imaging findings, and decision-support algorithms to assist radiologists and clinicians in documentation and interpretation.
95
Publications
40.7K
Citations
435
Authors
163
Institutions
Publications per year
2017–2026
56
Parents
95
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Fenglin Liu, Xian Wu, Shen Ge et al. · 2021 · 326 citations
Knowledge matters: Chest radiology report generation with general and specific knowledge
Shuxin Yang, Xian Wu, Shen Ge et al. · Medical Image Analysis · 2022 · 202 citations · Full text
Interactive and Explainable Region-guided Radiology Report Generation
Tim Tanida, Philip C. Müller, Georgios Kaissis et al. · 2023 · 164 citations
1–5 of 95
435
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University of North Carolina at Chapel Hill, United States
3 publications · 270 citations
3
h-index
3
h-index
1–5 of 435
163
Stanford University
Stanford, United States
5 h-index
17 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
1.2K citations
Harvard University
Cambridge, United States
3 h-index
11 publications
481 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
795 citations
Technical University of Munich
Munich, Germany
3 h-index
11 publications
762 citations

Sun Yat-sen University
Guangzhou, China
3 h-index
6 publications
386 citations
Tencent (China)
Shenzhen, China
3 h-index
7 publications
1.7K citations
University of Science and Technology of China
Hefei, China
2 h-index
2 publications
363 citations
1–8 of 163
Repository · 9 publications · 213 citations
9
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Repository · 8 publications · 130 citations
8
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5 publications · 89 citations
5
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5 publications · 91 citations
5
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JCP · 3 publications · 57 citations
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