Papers
9
Total Citations
140
H-Index
6
About
Ke Sheng is a distinguished radiation oncology physicist whose research sits at the intersection of advanced radiotherapy delivery, artificial intelligence, and treatment planning optimization. Working primarily within the domain of external beam radiotherapy, Sheng has made significant contributions to expanding the geometric possibilities of radiation delivery through noncoplanar and robotic treatment approaches. His seminal work demonstrating the feasibility of prostate robotic radiation therapy on conventional C-arm linacs (44 citations) helped bridge cutting-edge robotic delivery concepts with widely available clinical infrastructure. Sheng has also been a leading voice in advocating for noncoplanar beam arrangements in extracranial intensity modulated radiotherapy, arguing compellingly that their dosimetric advantages warrant broader clinical adoption. His exploration of intermediate x-ray energies and many-isocenter optimization for robotic platforms reflects a sustained effort to push the physical boundaries of conformal dose delivery. More recently, Sheng has turned toward artificial intelligence applications in radiotherapy (37 citations) and deep learning-based motion tracking frameworks, positioning his laboratory at the forefront of automated, adaptive treatment technologies. His work on small animal radio-neuromodulation further demonstrates a versatile research program spanning preclinical through clinical translation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Artificial intelligence in radiotherapy: a technological review37 citations · 2020
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- 5Many-isocenter optimization for robotic radiotherapy10 citations · 2019
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