Xinwei Chen

Minjiang University

Papers

1

Total Citations

6

H-Index

1

About

Dr. Xinwei Chen is a leading researcher in computer-assisted orthopedic surgery, with a primary focus on robot-assisted total knee arthroplasty (TKA) and medical image registration. Their most impactful work, "Pre- and Intra-operative Dynamic Registration for Total Knee Arthroplasty Based on CT Image Annotation" (2021), introduces a novel dynamic registration method using CT image annotation to enhance the precision and stability of robotic TKA procedures. This contribution addresses a critical challenge in orthopedic surgery—aligning pre-operative planning with intra-operative execution—and has garnered 6 citations, reflecting its relevance in the field. Dr. Chen’s research bridges the gap between advanced imaging and surgical robotics, aiming to improve patient outcomes by reducing human error and increasing procedural accuracy. Their work is particularly notable for its potential to standardize TKA techniques, making them more reliable and accessible. As a researcher, Dr. Chen continues to push the boundaries of surgical automation and image-guided interventions, offering valuable insights for students and professionals interested in the intersection of orthopedics, robotics, and medical imaging.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Pre- and Intra-operative Dynamic Registration for Total Knee Arthroplasty Based on CT Image Annotation
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Minjiang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago