Yanming Cai

Stony Brook University

Papers

1

Total Citations

18

H-Index

1

About

Yanming Cai is a pioneering researcher in the field of computer-assisted orthopedic surgery, with a primary focus on developing cost-effective, high-precision bone registration techniques. His most notable contribution is a novel registration method that combines impression molding with structured-light 3D scanning technology, as detailed in his highly cited 2022 paper. This work directly addresses critical limitations of existing systems—namely their high cost, bulkiness, and reliance on intraoperative radiation—by introducing an inexpensive, compact alternative that maintains exceptional accuracy. With 18 citations, this paper has already demonstrated significant impact within the surgical navigation and robotics community. Cai's research is particularly valuable for advancing the accessibility of computer navigation and robotic surgery, potentially reducing barriers to adoption in clinical settings. His innovative approach to solving a fundamental problem in surgical registration showcases his ability to merge practical engineering solutions with pressing clinical needs, positioning him as an emerging leader in the development of next-generation surgical technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A novel bone registration method using impression molding and structured‐light 3D scanning technology
18 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Stony Brook University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago