Papers

7

Total Citations

448

H-Index

6

About

Uwe Oelfke is a leading figure in radiation therapy physics, with research concentrated at the intersection of motion management, adaptive radiotherapy, and treatment planning optimization. His most impactful contribution lies in advancing real-time intrafraction motion monitoring — a critical challenge in external beam radiotherapy where internal anatomical movement due to breathing, cardiac, and other physiological activity threatens the precision of dose delivery. His 2019 review on this subject has already accumulated 219 citations, reflecting its status as a definitive reference for the field. Oelfke has also driven multi-institutional investigations comparing adaptive and non-adaptive radiotherapy delivery systems — including robotic, gimbaled, and multileaf collimator approaches — demonstrating convincingly that real-time adaptation improves dosimetric accuracy in the presence of tumor motion. His international collaborations through initiatives like the POP-ART RT study have helped map global clinical practice and identify barriers to implementing motion management technologies. Beyond motion compensation, Oelfke has applied sophisticated machine learning methods — including infinite von Mises-Fisher mixture models — to automate beam angle selection, and has explored stereotactic body radiotherapy delivery on CyberKnife platforms. Across his career, Oelfke's work has meaningfully shaped how modern radiotherapy systems account for patient motion, ultimately improving cancer treatment precision and patient safety.

Research Focus

Key Achievements

6
H-Index
7
Papers
448
Total Citations
64
Avg Citations/Paper
🏆 Most Cited Paper
Real-time intrafraction motion monitoring in external beam radiotherapy
219 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Royal Marsden NHS Foundation Trust, Heidelberg University, German Cancer Research Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago