Shihang Chen
Papers
7
Total Citations
185
H-Index
6
About
Shihang Chen is a pioneering researcher at the intersection of medical robotics, surgical automation, and image-guided interventions. His work spans several interconnected domains, including ultrasound-guided robotic systems, force-feedback surgical robotics, and computer-assisted orthopedic and craniomaxillofacial surgery. Chen's most impactful contributions center on advancing percutaneous puncture robotics, with his ultrasound-guided needle insertion system garnering 74 citations since 2021 — a remarkable achievement that underscores the clinical relevance of his work. Complementing this, his development of automatic needle detection algorithms in 2D ultrasound (33 citations) demonstrates a sophisticated integration of computer vision and robotic control to enhance procedural precision. Beyond needle guidance, Chen has made significant strides in spinal and orthognathic surgery robotics. His force-feedback drilling system for vertebral procedures and his error analysis framework for robot-assisted orthognathic surgery (each with 22 citations) reflect a commitment to improving safety and accuracy in high-stakes surgical environments. His collaborative control methodology for craniomaxillofacial osteotomy further highlights his drive to bridge autonomous robotic precision with meaningful surgeon intervention. Collectively, Chen's body of work represents a coherent and influential vision for the future of intelligent, image-guided surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1Ultrasound-guided needle insertion robotic system for percutaneous puncture74 citations · 2021
- 2
- 3Robotic spinal surgery system with force feedback for teleoperated drilling22 citations · 2019
- 4Error Analysis of Robot-Assisted Orthognathic Surgery22 citations · 2020
- 5
- 6Robotic system for accurate percutaneous puncture guided by 3D–2D ultrasound13 citations · 2022
- 7