Zijian Zhou
Papers
2
Total Citations
20
H-Index
2
About
Zijian Zhou is a leading researcher at the intersection of computer vision and minimally invasive surgery, with a primary focus on surgical instrument segmentation and vision-language models. His work addresses critical challenges in computer-assisted interventions, particularly in laparoscopic and robotic surgery. Zhou's most impactful contribution is the development of the CholecInstanceSeg dataset (2025, 12 citations), a comprehensive tool instance segmentation dataset that provides detailed annotations for surgical instruments, filling a crucial gap in publicly available surgical data. This resource enables advanced computer-assisted interventions by allowing precise identification and tracking of surgical tools during procedures. Additionally, Zhou pioneered text promptable surgical instrument segmentation (2023, 8 citations), introducing a novel approach that uses vision-language models to overcome the diversity and differentiation challenges of surgical instruments. By redefining the segmentation task as text promptable, his work enables more nuanced understanding of surgical scenes, allowing surgeons to query specific instruments through natural language. His innovative combination of multimodal AI and surgical technology represents a significant step toward more intuitive and intelligent computer-assisted surgery systems.
Research Focus
Key Achievements
Top Papers
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- 2