Papers
4
Total Citations
46
H-Index
4
About
Ming-Chin Lin is a leading researcher in robotic-assisted neurosurgery and spinal intervention, whose work bridges cutting-edge surgical technology with clinical precision. His primary research areas include robotic stereotactic systems, minimally invasive spine surgery, and computer-navigated instrumentation. Lin’s major contributions center on the clinical adoption and optimization of the ROSA ONE Spine System, where he characterized its learning curve for transpedicular screw placement—a study that has garnered 18 citations and provided essential guidance for surgical teams adopting this technology. He also led a multicenter comparison between robot-assisted and navigation-guided minimally invasive transforaminal lumbar interbody fusion (12 citations), offering critical insights into the relative merits of these advanced techniques. Notably, Lin extended robotic applications beyond the spine to neurosurgery, demonstrating the ROSA system’s utility for spontaneous intracerebral hematoma aspiration and thrombolytic catheter placement (11 citations). His earlier work in robot vision for surface defect detection (5 citations) showcases a foundational interest in robotic perception. With a career marked by high-impact, clinically relevant studies, Lin is shaping the future of precision surgery through rigorous evaluation of robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Learning Curve of ROSA ONE Spine System for Transpedicular Screw Placement18 citations · 2022
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- 4Surface defect detection of 3D objects using robot vision5 citations · 2011