Guangshen Ma
Papers
7
Total Citations
46
H-Index
3
About
Guangshen Ma is an emerging researcher at the intersection of medical robotics and advanced imaging technologies, with particular expertise in robotic-assisted ultrasound, optical coherence tomography (OCT), photoacoustic imaging, and laser surgical systems. His work addresses a central challenge in modern medicine: automating and improving the precision of diagnostic imaging and minimally invasive surgical procedures. Ma's most-cited contribution, a robotic system for ultrasound-guided peripheral vascular localization (2021, 18 citations), demonstrated how RGB-D sensing combined with 2D ultrasound could autonomously generate 3D vascular maps — a significant step toward hands-free clinical diagnostics. His invited review on robotics and OCT (16 citations) underscores his growing authority in synthesizing two rapidly evolving fields, while his work on photoacoustic imaging integrated with robotic platforms highlights his commitment to next-generation hybrid imaging. On the surgical side, Ma has pioneered data-driven approaches to robotic laser surgery, developing systems capable of predicting ablation crater shapes to minimize damage to healthy tissue. His recent work on robotic arc-scan ultrasound imaging for rheumatoid arthritis further reflects his drive to translate these technologies into direct clinical impact. Collectively, his research positions him as a promising voice shaping the future of intelligent, image-guided robotic medicine.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Photoacoustic imaging combined with robotics: a review of current works4 citations · 2025
- 4StereoCNC: A Stereovision-guided Robotic Laser System3 citations · 2021
- 5
- 6Robotic Laser Orientation Planning with a 3D Data-driven Method2 citations · 2022
- 7