Papers
4
Total Citations
267
H-Index
4
About
Dr. Xinke Liu is a leading researcher in the field of medical robotics, with a primary focus on endovascular surgery and interventional radiology. His work centers on developing intelligent, autonomous systems that enhance the precision and safety of minimally invasive vascular procedures. Dr. Liu’s major contributions include the design and in-human evaluation of a novel remote-controlled vascular interventional robot (103 citations), a landmark study demonstrating the clinical viability of robotic-assisted catheter navigation. He has pioneered the use of deep learning for surgical state perception, introducing a CNN-based method for unstructured surgical navigation (88 citations) that allows robots to interpret complex anatomical environments in real time. His innovative noncontact detection system for surgeon hand movements (46 citations) enables more intuitive master-slave control, while his recent work on Surgical GAN (30 citations) tackles the critical challenge of real-time path planning for flexible tools, significantly advancing autonomous surgical capabilities. Dr. Liu’s research has been widely cited for bridging the gap between robotic hardware and intelligent software, establishing foundational techniques for the next generation of endovascular surgical robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4