Zhongxi Qiu

Orcid: 0000-0001-9675-5341

According to our database1, Zhongxi Qiu authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement.
IEEE Trans. Medical Imaging, April, 2024

Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2023
CGBA-Net: context-guided bidirectional attention network for surgical instrument segmentation.
Int. J. Comput. Assist. Radiol. Surg., October, 2023

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement.
CoRR, 2023

Learnable Ophthalmology SAM.
CoRR, 2023

Synthetic Monocular Depth Estimation Dataset for Cataract Surgery Assistance.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
FGAM: A pluggable light-weight attention module for medical image segmentation.
Comput. Biol. Medicine, 2022

SuperVessel: Segmenting High-Resolution Vessel from Low-Resolution Retinal Image.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Surgical instrument segmentation based on multi-scale and multi-level feature network.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021


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