Zhongxi Qiu

According to our database, Zhongxi Qiu authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement.

Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Ke Niu, Na Guo, Huazhu Fu, Yan Hu, Jiang Liu

IEEE Trans. Medical Imaging, April, 2024

Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation.

Zhongxi Qiu, Yan Hu, Xiaoshan Chen, Dan Zeng, Qingyong Hu, Jiang Liu

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation.

Heng Li, Haojin Li, Jianyu Chen, Zhongxi Qiu, Huazhu Fu, Lidai Wang, Yan Hu, Jiang Liu

CoRR, 2024

Mixed-decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition.

Xiaoqing Zhang, Xiao Wu, Zunjie Xiao, Lingxi Hu, Zhongxi Qiu, Qingyang Sun, Risa Higashita, Jiang Liu

CAAI Trans. Intell. Technol., 2024

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, Jiang Liu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation.

Yiming Wang, Yan Hu, Junyong Shen, Xiaoqing Zhang, Heng Li, Zhongxi Qiu, Fangfu Ye, Jiang Liu

Int. J. Comput. Assist. Radiol. Surg., October, 2023

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement.

Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Huazhu Fu, Yan Hu, Jiang Liu

CoRR, 2023

Learnable Ophthalmology SAM.

Zhongxi Qiu, Yan Hu, Heng Li, Jiang Liu

CoRR, 2023

Synthetic Monocular Depth Estimation Dataset for Cataract Surgery Assistance.

Yingquan Zhou, Zhongxi Qiu, Mingming Yang, Yan Hu, Jiang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

FGAM: A pluggable light-weight attention module for medical image segmentation.

Zhongxi Qiu, Yan Hu, Jiayi Zhang, Xiaoshan Chen, Jiang Liu

Comput. Biol. Medicine, 2022

SuperVessel: Segmenting High-Resolution Vessel from Low-Resolution Retinal Image.

Yan Hu, Zhongxi Qiu, Dan Zeng, Li Jiang, Chen Lin, Jiang Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection.

Junyong Shen, Yan Hu, Xiaoqing Zhang, Zhongxi Qiu, Tingming Deng, Yanwu Xu, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component.

Haojin Li, Heng Li, Zhongxi Qiu, Yan Hu, Jiang Liu

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Surgical instrument segmentation based on multi-scale and multi-level feature network.

Yiming Wang, Zhongxi Qiu, Yan Hu, Hao Chen, Fangfu Ye, Jiang Liu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021