Papers
4
Total Citations
42
H-Index
3
About
Wanghongbo Li is a leading researcher in robotic intravascular interventions, with a primary focus on advancing cardiovascular catheterization through intelligent image-guided systems. His work addresses critical challenges in minimally invasive cardiac procedures, particularly the segmentation and tracking of flexible endovascular tools like guidewires and catheters during robotic surgery. Li’s most influential paper, “Automatic tool segmentation and tracking during robotic intravascular catheterization for cardiac interventions” (2021, 30 citations), introduces novel methods to enhance visualization and control in teleoperated systems, significantly reducing radiation exposure for interventionists. He further refines these techniques in his work on Gaussian-based guidewire tracking and U-Net-based image segmentation models, each contributing to safer, more precise robotic-assisted procedures. Li’s research also explores master-slave isomorphic design for vascular intervention robots, improving haptic feedback and coordinated control. With cumulative citations exceeding 40 across his key publications, Li’s contributions are pivotal in bridging computer vision, robotics, and cardiovascular medicine, offering transformative solutions for treating aneurisms, thrombosis, and atherosclerosis. His work is essential reading for researchers and students developing next-generation interventional robots.
Research Focus
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Top Papers
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