Sandy Napel
桑迪·纳佩尔
PhD
Professor of Radiology and Biomedical Data Science放射学与生物医学数据科学教授
👥Biography 个人简介
Pioneer in CT radiomics, quantitative imaging, and lung nodule AI. Co-developed major lung nodule AI detection algorithms and the RIDER dataset for CT imaging research. Led the Quantitative Imaging Network (QIN) efforts at Stanford, standardizing quantitative imaging biomarkers for cancer clinical trials.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
CT Radiomics and Lung Nodule AI
Developed standardized protocols and computational tools for CT-based radiomic feature extraction and lung nodule detection AI, leading the Stanford QIN program to harmonize quantitative imaging methodology across multi-institutional cancer imaging studies.
Representative Works 代表性著作
Standardization in quantitative imaging: a multicenter comparison of radiomic features from different software packages on phantom and patient data sets
Radiology: Artificial Intelligence (2020)
Demonstrated the need for and approach to standardization of radiomic features across software platforms, critical for clinical implementation.
🏆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
Related Experts 相关专家
关注 桑迪·纳佩尔 的研究动态
Follow Sandy Napel's research updates
留下邮箱，当我们发布与 Sandy Napel（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