Yanchao Huang
Papers
1
Total Citations
14
H-Index
1
About
Yanchao Huang is a researcher specializing in medical imaging and robotic systems, with a focus on improving the accuracy and reliability of CT imaging technologies. His most notable contribution is the development of a knowledge-based self-calibration method for calibration phantoms, designed specifically for robot-based CT imaging systems. This work, published in 2021 and garnering 14 citations, addresses a critical challenge in medical robotics: ensuring precise image reconstruction without manual intervention. By integrating prior knowledge into the calibration process, Huang’s method enhances the autonomy and precision of robotic imaging, reducing errors in clinical and industrial applications. His research bridges robotics, computer vision, and medical physics, offering practical solutions for real-time calibration in complex environments. Huang’s work is particularly impactful for researchers developing next-generation imaging systems, where accuracy is paramount. His innovative approach to self-calibration has been recognized as a step toward fully automated, reliable CT imaging, making him a key figure in the advancement of robot-assisted medical diagnostics.
Research Focus
Key Achievements
Top Papers
- 1