Ziyang Chen

Sun Yat-sen University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Ziyang Chen is a leading researcher in minimally invasive spinal surgery, with a primary focus on percutaneous endoscopic lumbar discectomy (PELD) and advanced medical imaging. His most significant contribution lies in pioneering the integration of automated MR image segmentation with three-dimensional lumbar modeling to quantify and personalize surgical trajectories. By developing 3D models that incorporate critical neural structures—such as lumbar nerves and the dural sac—Dr. Chen has addressed a major gap in preoperative planning, enhancing the precision and safety of PELD procedures. His cross-sectional study on this topic, published in 2025, has already garnered 2 citations, signaling its immediate impact on the field. This work represents a notable achievement in translational research, bridging computational imaging and clinical orthopedics. Dr. Chen’s research is particularly valuable for students and surgeons seeking to understand how automated segmentation can reduce surgical variability and improve patient outcomes. His ongoing efforts continue to shape the future of personalized, image-guided spine surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Quantifying the Trajectory of Percutaneous Endoscopic Lumbar Discectomy in <scp>3D</scp> Lumbar Models Based on Automated <scp>MR</scp> Image Segmentation—A Cross‐Sectional Study
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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