Lijuan Lu

Papers

Total Citations

H-Index

About

Lijuan Lu is a researcher specializing in medical robotics, computer-assisted surgery, and vision-based navigation systems, with a particular focus on developing innovative robotic solutions for minimally invasive medical procedures. Her work sits at the intersection of robotics, image processing, and clinical application, addressing real-world challenges in interventional treatment and surgical assistance. Among her most notable contributions is the development of a computed tomography-image-based navigation robot utilizing binocular stereo vision and a novel registration method, designed specifically for minimally invasive interventional procedures targeting chronic pain — a clinical gap that had previously received little dedicated robotic attention. This 2020 study has garnered 12 citations, reflecting growing interest in precision-guided robotic interventions. Her earlier 2018 work on vision-guided robotic positioning for assisted puncture procedures further demonstrates her sustained commitment to improving surgical accuracy and safety through intelligent robotic systems, accumulating 8 citations. Lu's research contributes meaningfully to the advancement of computer-assisted surgery by combining binocular vision technology with practical clinical workflows, helping to make complex interventional procedures safer and more reproducible. Her work serves as a valuable reference for engineers and clinicians alike seeking to bridge robotics innovation with patient care.