Papers

7

Total Citations

103

H-Index

5

About

Steve Jiang is a pioneering researcher at the intersection of radiation oncology, robotics, and artificial intelligence, with sustained contributions to improving the precision and comfort of cancer radiotherapy. His work has fundamentally advanced patient positioning and immobilization strategies, most notably through his influential 2017 clinical trial on minimal mask immobilization with optical surface guidance for head and neck radiotherapy, which garnered 63 citations and challenged the long-standing standard of restrictive full thermoplastic masks. Jiang's innovative vision extends into soft robotics, where he developed a real-time, radio-transparent soft robotic positioning system for maskless head and neck radiotherapy — a line of research that culminated in the neuro-adaptive Soft-NeuroAdapt system capable of three-degree-of-freedom patient pose correction. His more recent work demonstrates a forward-looking embrace of deep learning, applying multi-task neural networks to multimodal radiotherapy dose prediction for partial breast irradiation. Additional contributions span volumetric ultrasound image guidance and Monte Carlo simulation for radiosurgery systems. Collectively, Jiang's research reflects a career dedicated to making radiotherapy more precise, more comfortable, and more intelligent — directly benefiting patient outcomes.

Research Focus

Key Achievements

5
H-Index
7
Papers
103
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Minimal mask immobilization with optical surface guidance for head and neck radiotherapy
63 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: The University of Texas Southwestern Medical Center, Radiation Oncology Associates, Stanford University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago