Nanyang Ye
Papers
2
Total Citations
12
H-Index
2
About
Nanyang Ye is a leading researcher in medical robotics and computer vision, with a focus on autonomous venipuncture systems. Their work bridges the gap between robotic hardware and intelligent software to automate one of the most common yet challenging clinical procedures. Ye’s major contributions include the development of VeniBot, a compact robotic system that integrates novel hardware with deep learning–based image analysis. Their 2021 paper on semi-supervised vein segmentation from ultrasound images (9 citations) introduced a method that reduces reliance on professional assistance, while their work on automatic puncture area and angle regression from NIR images (3 citations) advanced the precision of autonomous needle insertion. Though early in citation impact, these papers represent foundational steps toward practical, fully autonomous venipuncture robots. Ye’s research is notable for its end-to-end approach—combining novel sensor integration, segmentation algorithms, and robotic control—which has the potential to reduce human error and improve patient comfort in clinical settings. Their work is particularly relevant for researchers in surgical robotics, medical image analysis, and human–robot interaction.
Research Focus
Key Achievements
Top Papers
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