@article{123
}
                  

@article{123
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@article{123
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@article{123
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@article{han2023improving,
  title={Improving Negative-Prompt Inversion via Proximal Guidance},
  author={Han, Ligong and Wen, Song and Chen, Qi and Zhang, Zhixing and Song, Kunpeng and Ren, Mengwei and Gao, Ruijiang and Chen, Yuxiao and Liu, Di and Zhangli, Qilong and others},
  journal={arXiv preprint arXiv:2306.05414},
  year={2023}
}
                  

@article{gao2023training,
  title={Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning},
  author={Gao, Yunhe and Li, Zhuowei and Liu, Di and Zhou, Mu and Zhang, Shaoting and Meta, Dimitris N},
  journal={arXiv preprint arXiv:2306.02416},
  year={2023}
}
                  

@article{he2023dealing,
  title={Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation},
  author={He, Xiaoxiao and Tan, Chaowei and Liu, Bo and Si, Liping and Yao, Weiwu and Zhao, Liang and Liu, Di and Zhangli, Qilong and Chang, Qi and Li, Kang and others},
  journal={arXiv preprint arXiv:2303.14357},
  year={2023}
}
                  

@article{li2023steering,
  title={Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning},
  author={Li, Zhuowei and Zhao, Long and Zhang, Zizhao and Zhang, Han and Liu, Di and Liu, Ting and Metaxas, Dimitris N},
  journal={arXiv preprint arXiv:2303.09447},
  year={2023}
}
                  

@article{gao2022data,
  title={A data-scalable transformer for medical image segmentation: architecture, model efficiency, and benchmark},
  author={Gao, Yunhe and Zhou, Mu and Liu, Di and Yan, Zhennan and Zhang, Shaoting and Metaxas, Dimitris N},
  journal={arXiv preprint arXiv:2203.00131},
  year={2022}
}
                  

@article{liu2022transfusion,
  title={TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers},
  author={Liu, Di and Gao, Yunhe and Zhangli, Qilong and Yan, Zhennan and Zhou, Mu and Metaxas, Dimitris},
  journal={arXiv preprint arXiv:2203.10726},
  year={2022}
}
                  

@article{zhangli2022region,
  title={Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images},
  author={Zhangli, Qilong and Yi, Jingru and Liu, Di and He, Xiaoxiao and Xia, Zhaoyang and Tang, Haiming and Wang, He and Zhou, Mu and Metaxas, Dimitris},
  journal={arXiv preprint arXiv:2203.02846},
  year={2022}
}
                  

@article{chang2022deeprecon,
      title={DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method}, 
      author={Qi Chang and Zhennan Yan and Mu Zhou and Di Liu and Khalid Sawalha and Meng Ye and Qilong Zhangli and Mikael Kanski and Subhi Al Aref and Leon Axel and Dimitris Metaxas},
      journal={arXiv preprint arXiv:2206.07163},
      year={2022}
}
                  

@inproceedings{liu2021refined,
  title={Refined deep layer aggregation for multi-disease, multi-view \& multi-center cardiac mr segmentation},
  author={Liu, Di and Yan, Zhennan and Chang, Qi and Axel, Leon and Metaxas, Dimitris N},
  booktitle={International Workshop on Statistical Atlases and Computational Models of the Heart},
  pages={315--322},
  year={2021},
  organization={Springer}
}
                  

@inproceedings{liu2021label,
  title={Label super resolution for 3D magnetic resonance images using deformable U-net},
  author={Liu, Di and Liu, Jiang and Liu, Yihao and Tao, Ran and Prince, Jerry L and Carass, Aaron},
  booktitle={Medical Imaging 2021: Image Processing},
  volume={11596},
  pages={606--611},
  year={2021},
  organization={SPIE}
}
                  

@article{liu2020dispersion,
  title={Dispersion correction for optical coherence tomography by the stepped detection algorithm in the fractional Fourier domain},
  author={Liu, Di and Ge, Chuanbin and Xin, Yi and Li, Qin and Tao, Ran},
  journal={Optics express},
  volume={28},
  number={5},
  pages={5919--5935},
  year={2020},
  publisher={Optica Publishing Group}
}
                  

@article{ge2020automated,
  title={Automated recognition of arrhythmia using deep neural networks for 12-lead electrocardiograms with fractional time--frequency domain extension},
  author={Ge, Chuanbin and Liu, Di and Liu, Juan and Liu, Bingshuai and Xin, Yi},
  journal={Journal of Medical Imaging and Health Informatics},
  volume={10},
  number={11},
  pages={2764--2767},
  year={2020},
  publisher={American Scientific Publishers}
}
                  

@inproceedings{liu2019dispersion,
  title={Dispersion Correction for Optical Coherence Tomography by Parameter Estimation in Fractional Fourier Domain},
  author={Liu, Di and Xin, Yi and Li, Qin and Tao, Ran},
  booktitle={2019 IEEE International Conference on Mechatronics and Automation (ICMA)},
  pages={674--678},
  year={2019},
  organization={IEEE}
}