Yuxiang Ma
Papers
1
Total Citations
10
H-Index
1
About
Yuxiang Ma is a researcher at the forefront of medical robotics and image-guided intervention, with a particular focus on overcoming the challenges of respiratory motion in percutaneous procedures. His work addresses a critical bottleneck in needle biopsy and robotic puncture systems: the accurate localization of moving targets within the thoracic and abdominal cavities. Ma’s most cited paper, a pilot study on a robotic puncture system, introduces a novel approach using Long Short-Term Memory (LSTM) networks to model and predict target displacement during respiration. By learning the complex, non-linear relationship between internal target motion and external marker signals, his method offers a data-driven alternative to traditional correlation models, significantly enhancing localization precision in real-time. This contribution has garnered 10 citations and lays the groundwork for more intelligent, adaptive robotic systems in interventional radiology. Ma’s research is pivotal for advancing autonomous surgical tools that can safely and accurately navigate dynamic anatomical environments, promising to reduce procedure times and improve patient outcomes in cancer diagnostics and therapy.
Research Focus
Key Achievements
Top Papers
- 1