Papers
5
Total Citations
51
H-Index
3
About
Shunlei Li is a pioneering researcher at the intersection of medical robotics, computer vision, and artificial intelligence. His work focuses on developing intelligent robotic systems for healthcare, particularly in surgical assistance and ophthalmic interventions. Li's major contributions include advancing computer vision enhancement for intelligent robots using machine learning and deep learning (34 citations), and developing the RoboNurse-VLA system—a robotic scrub nurse powered by Vision-Language-Action models that promises to improve operating room efficiency and reduce human error. His research also encompasses critical medical applications such as numerical simulation of thrombolysis in robot-assisted retinal vein cannulation, and the development of a one-step enhancer for deblurring and denoising optical coherence tomography (OCT) images, addressing the challenge of speckle noise in high-resolution tissue imaging. With a growing citation impact across his publications, Li is establishing himself as a key figure in the emerging field of autonomous surgical robotics, where his work bridges the gap between advanced AI models and practical clinical applications.
Research Focus
Key Achievements
Top Papers
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- 2One-Step Enhancer: Deblurring and Denoising of OCT Images7 citations · 2022
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