Jishuai He
Papers
2
Total Citations
8
H-Index
2
About
Jishuai He is a rising researcher at the forefront of surgical robotics and medical image analysis, with a focus on enhancing real-time perception in minimally invasive procedures. His work bridges computer vision and clinical application, particularly in ultrasound-guided surgery and dynamic endoscopic scene reconstruction. He’s best known for developing the Feature Pyramid Self-Attention Network, which improves respiratory motion prediction for safer, more precise ultrasound image-guided surgery—a contribution that has already garnered 6 citations since 2022. More recently, He introduced ST-Endo, a pioneering 4D Gaussian Splatting framework that achieves real-time spatio-temporal reconstruction of dynamic endoscopic scenes. This work addresses a critical bottleneck in robotic surgery: providing accurate, live spatial information from complex, moving tissue environments. By enabling robust 4D reconstruction, his research promises to significantly enhance surgical precision and outcomes. Though early in his career, He’s innovative fusion of attention mechanisms and neural rendering for surgical vision marks him as a key contributor to the next generation of intelligent, context-aware surgical systems.
Research Focus
Key Achievements
Top Papers
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- 2