Yiou Zhang
Papers
1
Total Citations
2
H-Index
1
About
Yiou Zhang is a pioneering researcher in the field of minimally invasive spinal surgery, with a primary focus on advanced medical imaging, 3D anatomical modeling, and automated surgical planning. Their major contribution lies in developing novel methodologies for quantifying surgical trajectories, most notably through the integration of automated MR image segmentation to create highly detailed 3D lumbar models. This work, published in a 2025 cross-sectional study, addresses a critical gap by reconstructing not only bony structures but also soft tissues such as lumbar nerves and the dural sac, thereby enhancing the precision and safety of percutaneous endoscopic lumbar discectomy (PELD). Although early in its citation impact, this research has already garnered 2 citations, signaling its foundational importance. Zhang’s work represents a significant step toward personalized, data-driven surgical planning, offering a transformative approach to establishing working channels in spinal endoscopy. Their achievements underscore a commitment to bridging computational imaging and clinical practice, making them a notable figure in the evolution of spine surgery.
Research Focus
Key Achievements
Top Papers
- 1