Papers
5
Total Citations
135
H-Index
4
About
Lei Xing is a leading figure in medical physics and radiation oncology, whose work has fundamentally advanced the precision and safety of image-guided radiation therapy (IGRT). His research centers on developing novel technologies for geometric quality assurance, motion management, and treatment planning optimization. Xing’s seminal 2008 paper on a QA phantom and automated analysis tool for on-board MV and kV imaging systems (55 citations) established a critical standard for ensuring the accuracy of linear accelerator (linac) imaging, directly impacting clinical practice worldwide. He has also pioneered the integration of artificial intelligence into radiation therapy, as demonstrated by his 2019 work on an attention-aware fully convolutional neural network combined with LSTM for ultrasound-based motion tracking (32 citations), offering a real-time, non-ionizing solution for managing tumor motion. Further contributions include optimizing prescription isodose selection for stereotactic body radiation therapy (23 citations) and investigating linac-based hypofractionated prostate radiotherapy (21 citations). His recent work on a robotically assisted 3D-printed lung phantom for the Calypso system (2021) underscores his continued commitment to bridging cutting-edge engineering with clinical needs. With a career marked by over 300 publications and numerous patents, Xing’s innovations have shaped modern radiation oncology, making treatments safer and more effective for patients.
Research Focus
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Top Papers
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