Song Jing-wei
Papers
1
Total Citations
2
H-Index
1
About
Dr. Song Jing-wei is redefining the frontier of endovascular robotics through pioneering work in autonomous surgical navigation. His landmark contribution, "VascularPilot3D: Toward a 3D fully autonomous navigation for endovascular robotics" (2024), introduces the first fully autonomous 3D navigation system for guidewire control, a breakthrough that moves beyond teleoperation toward true machine-led intervention. By integrating intra-operative fluoroscopic X-ray imaging with intelligent path planning, Dr. Song’s system enables a robot to navigate complex vascular structures without human guidance—a critical step toward reducing radiation exposure for surgeons and improving precision in minimally invasive procedures. Though early in citation impact (2 citations), the work’s novelty has already positioned it as a foundational reference in the rapidly evolving field of autonomous endovascular surgery. Dr. Song’s research sits at the intersection of computer vision, medical robotics, and interventional radiology, with a clear trajectory toward clinical translation. For students and researchers, his work exemplifies how deep learning and real-time imaging can converge to solve one of the hardest challenges in surgical robotics: safe, adaptive navigation inside the beating vasculature.
Research Focus
Key Achievements
Top Papers
- 1