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Translational Medicine / 转化医学Radiation Dose Painting and Functional RT

Lei Xing

PhD

🏢Stanford University School of Medicine🌐USA

Professor of Radiation Oncology

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Key Contributions

👥Biography 个人简介

Lei Xing has been a leading innovator in AI-driven treatment planning and dose optimization algorithms that are essential for implementing the complex dose distributions required by dose painting approaches. His deep learning methods for automated treatment planning can generate dose painting plans in minutes rather than hours, removing a critical barrier to clinical implementation. He leads research on spectral CT imaging and other advanced imaging modalities for biological target volume definition in radiation therapy.

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🧪Research Fields 研究领域

AI treatment planning
Inverse treatment planning
Deep learning radiation oncology
Dose optimization algorithms
Spectral CT for RT

🎓Key Contributions 主要贡献

Representative Works 代表性著作

📄Data Sources 数据来源

Last updated: 2026-04-01 | All information from publicly available academic sources

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