Sen Bai
Papers
1
Total Citations
5
H-Index
1
About
Sen Bai is a biomedical engineer whose research focuses on advancing precision in thoracoabdominal radiotherapy and robotic surgery through innovative motion tracking techniques. His primary contributions lie at the intersection of neural signal processing and real-time respiratory motion compensation, addressing critical limitations in conventional imaging-based methods. In his landmark 2023 proof-of-concept study, Bai demonstrated that neural signals can be harnessed to predict and track respiratory motion, potentially overcoming the system latency inherent in medical linear accelerators. This work, which has garnered 5 citations in its early stages, represents a paradigm shift toward non-imaging, biologically-driven motion management. Bai’s research holds promise for significantly improving treatment accuracy in cancer radiotherapy and minimally invasive surgery, reducing damage to healthy tissues while enhancing therapeutic outcomes. His approach integrates machine learning with electrophysiological monitoring, offering a novel pathway to real-time, lag-free motion compensation. As a rising figure in biomedical engineering, Bai’s work is paving the way for next-generation adaptive treatment systems that respond directly to patient physiology rather than external surrogates.
Research Focus
Key Achievements
Top Papers
- 1