Xiongfeng Chen
Papers
1
Total Citations
9
H-Index
1
About
Xiongfeng Chen is a leading researcher in medical imaging and radiology, with a focus on developing intelligent, contactless workflows to enhance patient safety and clinical efficiency. His major contributions center on the integration of robotic guidance and automated positioning technology for pulmonary CT imaging, particularly in response to infectious disease outbreaks. Chen’s most cited work, "Accurate and efficient pulmonary CT imaging workflow for COVID-19 patients by the combination of intelligent guided robot and automatic positioning technology" (2021, 9 citations), demonstrates a pioneering approach to reducing radiologist infection risk during the pandemic. By designing a remote-enabled, automated system that minimizes physical contact, he directly addressed critical safety challenges in CT examinations. This innovation not only improved workflow accuracy but also set a new standard for infection control in radiology. Chen’s research bridges robotics, automation, and clinical imaging, offering scalable solutions for high-risk environments. His work has been recognized for its practical impact, influencing protocols in pandemic response and inspiring further advances in teleoperated medical imaging. With a growing citation footprint, Chen continues to shape the future of safe, efficient diagnostic radiology.
Research Focus
Key Achievements
Top Papers
- 1