Jiancong Hu — accepted AI-conference papers

2025

EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis

Shengyuan Liu, Boyun Zheng, Wenting Chen, ZHIHAO PENG, Zhenfei Yin, Jing Shao +2

NeurIPS 2025poster

Endoscopic procedures are essential for diagnosing and treating internal diseases, and multi-modal large language models (MLLMs) are increasingly applied to assist in endoscopy analysis. However, current benchmarks are limited, as they typically cover specific endoscopic scenarios and a small set of…

Cited by 0 Source ↗Scholar ↗

2025

Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion

Shengyuan Liu, Zhen Chen, Qiushi Yang, Weihao Yu, Di Dong, Jiancong Hu +1

ICRA 2025

Automated diagnostic systems (ADS) have shown significant potential in the early detection of polyps during endoscopic examinations, thereby reducing the incidence of colorectal cancer. However, due to high annotation costs and strict privacy concerns, acquiring high-quality endoscopic images poses

Cited by 8 Source ↗code ↗Scholar ↗