Yan Hu

Yan Hu

Department of Computer Science and Technology

Retinal Image Segmentation

Paper: related code at link

  1. D2SF: Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation Official (TPAMI2023) Code at link

  2. SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image Official (PRCV2022) Code at link

  3. SS-MAF Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module Official (BIBM2022) Code at link

  4. Learnable Ophthalmology SAM: Try to use the SAM-ViT as the backbone to create the visual prompt tuning model for semantic segmentation. More of the details can be seen at the technical report at link

  5. FGAM: a pluggable light-weight attention module for medical image segmentation (CIBM2022) Code at link

Cititions

@article{qiu2023rethinking,
  title={Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation},
  author={Qiu, Zhongxi and Hu, Yan and Chen, Xiaoshan and Zeng, Dan and Hu, Qingyong and Liu, Jiang},
  journal={IEEE Transactions on Pattern Analysis \& Machine Intelligence},
  number={01},
  pages={1--14},
  year={2023},
  publisher={IEEE Computer Society}
}

@article{qiu2022fgam,
  title={FGAM: A pluggable light-weight attention module for medical image segmentation},
  author={Qiu, Zhongxi and Hu, Yan and Zhang, Jiayi and Chen, Xiaoshan and Liu, Jiang},
  journal={Computers in Biology and Medicine},
  volume={146},
  pages={105628},
  year={2022},
  publisher={Elsevier}
}

@inproceedings{hu2022supervessel,
  title={Supervessel: Segmenting high-resolution vessel from low-resolution retinal image},
  author={Hu, Yan and Qiu, Zhongxi and Zeng, Dan and Jiang, Li and Lin, Chen and Liu, Jiang},
  booktitle={Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
  pages={178--190},
  year={2022},
  organization={Springer Nature Switzerland Cham}
}

@inproceedings{zhang2022hard,
  title={Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module},
  author={Zhang, Jiayi and Chen, Xiaoshan and Qiu, Zhongxi and Yang, Mingming and Hu, Yan and Liu, Jiang},
  booktitle={2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  pages={1375--1380},
  year={2022},
  organization={IEEE}
}

@article{qiu2023learnable,
  title={Learnable ophthalmology sam},
  author={Qiu, Zhongxi and Hu, Yan and Li, Heng and Liu, Jiang},
  journal={arXiv preprint arXiv:2304.13425},
  year={2023}
}