Daniel L. Rubin
M.D., M.S.
Professor of Biomedical Data Science and Radiology
👥Biography 个人简介
Daniel Rubin is a leader in biomedical imaging informatics who develops AI methods for cancer imaging analysis. His research creates tools for extracting quantitative features from radiological images (radiomics) and correlating them with clinical outcomes. Rubin has also developed standards and ontologies for annotating medical images to enable AI research.
Daniel Rubin是生物医学影像信息学领导者,开发用于癌症影像分析的AI方法。他的研究创建了从放射学图像中提取定量特征(影像组学)并将其与临床结果相关联的工具。Rubin还开发了用于注释医学图像以支持AI研究的标准和本体。
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Radiomics
Developed quantitative imaging feature extraction methods for cancer imaging.
Imaging Informatics
Created annotation standards and ontologies for medical imaging AI.
Representative Works 代表性著作
Radiomics: extracting more information from medical images using advanced feature analysis
European Journal of Cancer (2012)
Foundational radiomics methodology paper.
📄Data Sources 数据来源
Last updated: 2026-03-05 | All information from publicly available academic sources
Related Experts 相关专家
关注 Daniel L. Rubin 的研究动态
Follow Daniel L. Rubin's research updates
留下邮箱,当我们发布与 Daniel L. Rubin(Stanford University)相关的新研究或访谈时,我们会通知你。
Explore More Experts
Discover the researchers shaping the future of cancer treatment