Yixing Shi

Carnegie Mellon University

Papers

1

Total Citations

6

H-Index

1

About

Yixing Shi is a researcher whose work lies at the critical intersection of robotics, biomechanics, and medical intervention, with a primary focus on modeling the complex interactions between surgical needles and soft tissues. His most influential contribution is the development of hyper- and viscoelastic finite element models for needle-tissue interaction, specifically targeting deep brain insertion. This foundational work, published in 2014, has garnered 6 citations and is essential for improving the accuracy of robotically steered flexible needles during diagnostic and therapeutic procedures. By simulating the mechanical behavior of brain tissue under needle insertion, Shi’s research directly addresses the challenge of targeting precision in neurosurgery, enabling safer and more effective interventions. His modeling approach provides a rigorous framework for understanding tissue deformation and needle deflection, which is critical for the design of automated robotic systems. Through this work, Yixing Shi has made a notable contribution to the field of medical robotics, laying the groundwork for future advancements in minimally invasive brain surgery and enhancing the potential for precise, automated clinical tools.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Hyper- and viscoelastic modeling of needle and brain tissue interaction
6 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago