Papers
3
Total Citations
35
H-Index
3
About
Shao-Hua Mi is a leading researcher in the field of surgical robotics and virtual reality (VR) simulation, with a primary focus on minimally invasive surgery (MIS) training systems. His work centers on developing realistic, physics-based simulators that allow surgeons to practice complex procedures—such as guide wire manipulation and catheter navigation—without risk to patients. Mi’s major contributions include the creation of a multi-body mass-spring model for robotic guide wire operating systems, which accurately simulates the dynamic behavior of surgical instruments during training. He also pioneered advanced 3D modeling techniques for coronary arteries, using tubular-enhanced CURVES segmentation to improve visual fidelity in robotic surgical simulations. Additionally, Mi developed a collision response algorithm that enhances the realism of VR-based MIS simulators by accurately computing interactions between virtual instruments and anatomical structures. His most-cited works, including papers from 2013 and 2014, have collectively garnered over 35 citations, reflecting their foundational role in advancing simulation-based surgical education. Mi’s research directly addresses the critical need for safe, effective training tools in interventional cardiology, helping to reduce occupational hazards for practitioners and improve patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3