Wenyuan Sun
Papers
4
Total Citations
20
H-Index
3
About
Wenyuan Sun is a leading researcher in the field of surgical robotics and medical image-guided interventions, with a primary focus on enhancing precision in robot-assisted orthopedic and soft-tissue surgeries. His work centers on solving critical calibration and visualization challenges that bridge the gap between robotic systems and intraoperative imaging. Sun’s major contributions include the development of a novel point set registration-based hand–eye calibration method for robot-assisted pedicle screw insertion, which dramatically improves surgical accuracy and safety over manual techniques. He has also pioneered calibration frameworks for ultrasound-guided needle biopsy, establishing essential transformations between ultrasound images and robot arms. More recently, Sun has advanced augmented reality (AR)-guided surgical navigation for periacetabular osteotomy, addressing the complex anatomical constraints of hip surgery. His research has garnered significant attention, with his most-cited papers accumulating over 20 citations since 2022, reflecting the growing impact of his work. Sun’s innovative integration of spatial-temporal stereo information fusion networks for self-supervised surgical video inpainting further demonstrates his commitment to improving intraoperative visualization. His achievements position him at the forefront of developing safer, more accurate robotic surgical systems.
Research Focus
Key Achievements
Top Papers
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