Yangjie Xie
Papers
1
Total Citations
6
H-Index
1
About
Yangjie Xie is a leading researcher in surgical robotics and medical image-guided intervention, with a primary focus on developing intelligent systems for minimally invasive cancer treatment. His most influential work centers on the design and validation of an automatic robotic puncture system for accurate liver cancer ablation, integrating near-infrared optical surgical navigation to enable precise surgical planning, simulation, and real-time guidance. This pioneering system, detailed in his 2018 paper, has garnered 6 citations and represents a critical advancement in automating complex percutaneous procedures, reducing reliance on manual skill and improving targeting accuracy for tumor ablation. Beyond this core contribution, Xie’s research spans the broader intersection of computer vision, robotics, and clinical oncology, aiming to translate laboratory innovations into practical operating-room solutions. His work is notable for bridging engineering precision with clinical need, offering a scalable platform that could transform outcomes for liver cancer patients. As a researcher, Xie exemplifies the push toward autonomous, navigated surgical systems—a field with growing impact as evidenced by the foundational role of his optical navigation framework in subsequent studies.
Research Focus
Key Achievements
Top Papers
- 1