Papers
4
Total Citations
24
H-Index
3
About
Gao-Jun Teng is at the forefront of robotic-assisted interventional surgery, with a primary focus on thoracoabdominal puncture procedures and cardiovascular interventions. His research centers on developing intelligent systems that enhance the precision and safety of minimally invasive surgeries, particularly in cancer diagnosis and treatment—a field where cancer remains one of the greatest global health burdens. Teng’s major contributions include pioneering frameworks for guidewire tip tracking and segmentation, such as the PixelTopoIS and multi-stage tracking systems, which address the critical challenge of distinguishing guidewire tips from complex curvilinear structures in real-time imaging. His 2024 review on robotic systems for thoracoabdominal puncture interventional surgery has garnered 14 citations, reflecting its significance in summarizing the state of the art. Additionally, his work on respiratory signal monitoring using dual-pathway deep learning networks in image-guided robotic-assisted intervention systems demonstrates his commitment to overcoming practical challenges like patient motion during procedures. With a growing citation impact and a focus on translating AI-driven robotics into clinical practice, Teng’s research is shaping the future of safer, more effective interventional oncology and cardiovascular care.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4