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MINet

【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

Install / Use

/learn @chunmeifeng/MINet
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

MINet

Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network (MICCAI 2021)

Dependencies

  • numpy==1.18.5
  • scikit_image==0.16.2
  • torchvision==0.8.1
  • torch==1.7.0
  • runstats==1.8.0
  • pytorch_lightning==1.0.6
  • h5py==2.10.0
  • PyYAML==5.4

Train

cd experimental/MINet/
sbatch job.sh

Change other arguments that you can train your own model.

Citation

If you find MINet useful for your research, please consider citing the following papers:

@inproceedings{feng2021MINet,
  title={Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network},
  author={Feng, Chun-Mei and Fu, Huazhu and Yuan, Shuhao and Xu, Yong},
  booktitle={International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  year={2021}
}
View on GitHub
GitHub Stars53
CategoryDevelopment
Updated9d ago
Forks8

Languages

Python

Security Score

80/100

Audited on Mar 26, 2026

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