Surgical instrument segmentation based on multi-scale and multi-level feature network. - Yiming Wang; Zhongxi Qiu; Yan Hu; Hao Chen 101; Fangfu Ye; Jiang Liu 001 (EMBC, 2021)

Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module. - Jiayi Zhang; Xiaoshan Chen; Zhongxi Qiu; Mingming Yang; Yan Hu; Jiang Liu 001 (BIBM, 2022)

Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component. - Haojin Li; Heng Li 010; Zhongxi Qiu; Yan Hu; Jiang Liu 001 (OMIA@MICCAI, 2022)

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection. - Junyong Shen; Yan Hu; Xiaoqing Zhang 001; Zhongxi Qiu; Tingming Deng; Yanwu Xu 001; Jiang Liu 001 (MICCAI (3), 2022)

SuperVessel: Segmenting High-Resolution Vessel from Low-Resolution Retinal Image. - Yan Hu; Zhongxi Qiu; Dan Zeng 002; Li Jiang; Chen Lin; Jiang Liu 001 (PRCV (2), 2022)

FGAM: A pluggable light-weight attention module for medical image segmentation. - Zhongxi Qiu; Yan Hu; Jiayi Zhang; Xiaoshan Chen; Jiang Liu 001 (Comput. Biol. Medicine, 2022)

Synthetic Monocular Depth Estimation Dataset for Cataract Surgery Assistance. - Yingquan Zhou; Zhongxi Qiu; Mingming Yang; Yan Hu; Jiang Liu 001 (BIBM, 2023)

Learnable Ophthalmology SAM. - Zhongxi Qiu; Yan Hu; Heng Li 010; Jiang Liu 001 (CoRR, 2023)

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. - Heng Li 010; Ziqin Lin; Zhongxi Qiu; Zinan Li; Huazhu Fu; Yan Hu; Jiang Liu 001 (CoRR, 2023)

CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation. - Yiming Wang; Yan Hu; Junyong Shen; Xiaoqing Zhang 001; Heng Li 010; Zhongxi Qiu; Fangfu Ye; Jiang Liu 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

Semi-ECNet: Edge-Consistency Based Semi-Supervised Retinal Vessel Segmentation Network. - Yilun Qiu; Zhongxi Qiu; Yan Hu; Mingyang Bi; Yubo Wang; Jianwen Chen; Yitian Zhao; Heng Li 010; Jiang Liu 001 (ISBI, 2024)

Mixed-decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition. - Xiaoqing Zhang 001; Xiao Wu; Zunjie Xiao; Lingxi Hu; Zhongxi Qiu; Qingyang Sun; Risa Higashita; Jiang Liu 001 (CAAI Trans. Intell. Technol., 2024)

RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation. - Heng Li 010; Haojin Li; Jianyu Chen; Zhongxi Qiu; Huazhu Fu; Lidai Wang; Yan Hu; Jiang Liu 001 (CoRR, 2024)

Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation. - Zhongxi Qiu; Yan Hu; Xiaoshan Chen; Dan Zeng 002; Qingyong Hu; Jiang Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. - Heng Li 010; Ziqin Lin; Zhongxi Qiu; Zinan Li; Ke Niu 002; Na Guo; Huazhu Fu; Yan Hu; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2024)

COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database. - Yan Hu; Mingdao Gong; Zhongxi Qiu; Jiabao Liu; Hongli Shen; Mingzhen Yuan; Xiaoqing Zhang; Heng Li; Hai Lu; Jiang Liu (CoRR, 2025)

Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain. - Zhongxi Qiu; Zhang Zhang; Yan Hu; Heng Li; Jiang Liu (CoRR, 2025)

Multi-View Test-Time Adaptation for Semantic Segmentation in Clinical Cataract Surgery. - Heng Li 010; Mingyang Ou; Haojin Li; Zhongxi Qiu; Ke Niu 002; Huazhu Fu; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2025)