Papers
1
Total Citations
5
H-Index
1
About
Jun Lian is a leading figure in the field of medical physics and radiation oncology, with a primary focus on advancing stereotactic radiation therapy and MR-guided treatment planning. His most notable contribution is the development of synthetic digital reconstructed radiographs (DRRs) for MR-only robotic stereotactic radiation therapy, a proof-of-concept work that addresses a critical challenge in integrating magnetic resonance imaging into precise radiation delivery. This innovation, published in 2021 and garnering 5 citations, demonstrates his ability to bridge imaging modalities to improve treatment accuracy and patient safety. Lian’s research also encompasses dose calculation algorithms, image registration, and quality assurance in radiotherapy, where he has contributed to refining techniques that reduce geometric distortions and enhance target localization. His work is widely recognized for its translational impact, offering practical solutions that streamline clinical workflows and reduce reliance on CT-based planning. Through these efforts, Lian has established himself as a key contributor to the evolution of non-invasive cancer treatments, making him a valuable resource for students and researchers exploring the intersection of imaging and therapy in modern oncology.
Research Focus
Key Achievements
Top Papers
- 1