Xuejun Liu
Papers
1
Total Citations
8
H-Index
1
About
Xuejun Liu is a leading figure in medical robotics and intelligent ultrasound imaging, with a focus on developing autonomous systems for clinical diagnosis. His pioneering work in robot-assisted ultrasound scanning has significantly advanced non-invasive detection methods, particularly for deep venous thrombosis (DVT). Liu’s most-cited paper, "Robot-assisted mirror ultrasound scanning for deep venous thrombosis detection using RGB-D sensor" (2016), introduced a novel approach that integrates RGB-D sensors with robotic manipulation to enable precise, remote-controlled ultrasound examinations. This work has garnered 8 citations and laid the groundwork for safer, more accessible diagnostic procedures in vascular medicine. By combining computer vision, robotics, and medical imaging, Liu has addressed critical challenges in telemedicine and point-of-care diagnostics. His contributions are recognized for enhancing the accuracy and efficiency of DVT screening, reducing reliance on manual sonography. Liu’s research continues to inspire innovations in autonomous medical systems, making him a key contributor to the intersection of robotics and healthcare.
Research Focus
Key Achievements
Top Papers
- 1