Papers

7

Total Citations

95

H-Index

5

About

Bin Duan is a leading researcher in medical robotics and image-guided surgery, with a focus on developing intelligent systems for minimally invasive cancer treatment. His primary contributions lie in robot-assisted radiofrequency ablation (RFA) for large liver tumors, where he pioneered overlapping ablation planning and robotic needle insertion through a single incision port. Duan’s work integrates medical imaging, patient-specific modeling, and cognitive engine frameworks to enhance surgical precision and safety. His most cited paper, “Tele-operated robotic ultrasound system for medical diagnosis” (2021, 38 citations), demonstrates his expertise in remote diagnostic systems. His 2018 study on overlapping RFA planning and robot-assisted needle insertion (24 citations) provides a quantitative method for treating large tumors, while his 2015 work on image-guided robotic systems (12 citations) laid the foundation for single-incision RFA. Duan has also advanced remote intelligent diagnosis for hepatic echinococcosis and developed cognitive engines that enable human-robot collaboration during surgery. With a strong focus on clinical translation, his research bridges robotics, imaging, and artificial intelligence to improve outcomes in cancer therapy.

Research Focus

Key Achievements

5
H-Index
7
Papers
95
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Tele-operated robotic ultrasound system for medical diagnosis
38 citations · 2021
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: BGI Group (China), National University of Singapore, BGI Research

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago