Juyan Ba — accepted AI-conference papers

2026

A Survey of Artificial Intelligence in Endoscopic Surgery Workflow: From Perception to Surgical Support

Juyan Ba, Hao Chen, Xiaohan Xing, Yi Wang

IJCAI 2026

Endoscopic surgery demands continuous real-time visual decision-making under severe constraints, including a limited field of view, motion blur, and dynamically deforming anatomy. These factors impose substantial cognitive load on surgeons and motivate the integration of artificial intelligence (AI)

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2026

Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer Analysis

Yuanzhe Li, Hao Chen, Rui Yin, Juyan Ba, Yu Zhang, Sheng Lu

CVPR 2026

Recent vision-language models (VLMs) have shown strong generalization and multimodal reasoning abilities in natural domains. However, their application to medical diagnosis remains limited by the lack of comprehensive and structured datasets that capture real clinical workflows. To advance the devel

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