Daniel Rubin
丹尼尔·鲁宾
MD, MS
Professor of Biomedical Data Science and Radiology生物医学数据科学与放射学教授
👥Biography 个人简介
Daniel Rubin is Professor of Biomedical Data Science and Radiology at Stanford, renowned for bridging AI informatics and cancer imaging. He led development of DICOM-SR and AIM (Annotation and Image Markup) standards that enable structured AI output in radiology workflows, and has pioneered radiomics biomarkers for cancer diagnosis, treatment monitoring, and prognosis.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Imaging Informatics Standards
Led development of AIM (Annotation and Image Markup) and contributed to DICOM-SR standards enabling interoperable, structured AI-generated annotations in clinical radiology systems worldwide.
Radiomics for Cancer Biomarkers
Developed radiomics pipelines to extract quantitative imaging features from CT and MRI for cancer subtype classification, treatment response prediction, and survival prognostication.
Representative Works 代表性著作
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Journal of Digital Imaging (2013)
Described TCIA, the world's largest open cancer imaging repository enabling AI research across millions of scans.
Radiomics: Images Are More than Pictures, They Are Data
Radiology (2016)
Seminal perspective defining radiomics as a systematic approach to mining quantitative imaging biomarkers for oncology.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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