Youyang Shen

University of Zurich

Papers

1

Total Citations

10

H-Index

1

About

Youyang Shen is a rising researcher in medical imaging and surgical navigation, with a focus on overcoming practical barriers in orthopedic procedures. Their key research areas include 3D reconstruction, domain adaptation, and fluoroscopy-based surgical guidance. Shen’s most notable contribution is the development of domain adaptation strategies for reconstructing the lumbar spine from real fluoroscopy data, a breakthrough that tackles critical obstacles such as time constraints, cost, radiation exposure, and workflow integration that have long hindered the adoption of surgical navigation. Their work, including the X23D approach, demonstrates how machine learning can bridge the gap between synthetic and clinical data, enabling accurate, real-time 3D visualization without excessive radiation. With their 2024 paper already garnering 10 citations, Shen is establishing a strong early-career impact, offering practical solutions that could transform spine surgery. Their research holds promise for making advanced navigation more accessible and efficient, directly benefiting surgeons and patients alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago