🧠 Awesome MRI Super-Resolution

GitHub Stars
Paper

License: MIT

A curated and continuously updated collection of deep-learning-based MRI super-resolution research: papers, code, datasets, tools, and tutorials.

πŸ“„ Survey Paper

MRI Super-Resolution with Deep Learning: A Comprehensive Survey (arXiv:2511.16854)

πŸ“š Contents

  • Surveys & Overviews
  • Published Papers & Associated Code
  • Datasets
  • Preprocessing Tools
  • Quality Assessment & Evaluation Metrics
  • Tutorials, Talks, Courses
  • Open-source Tools & Repositories

πŸ› οΈ Contributing

If you discover new papers, datasets, tools, or resources, feel free to contribute via Pull Request. Please follow existing formatting conventions and verify links.

πŸ“š Citation

If you find this collection useful, please consider starring the repo and citing the survey paper:

@article{khateri2025mri,
  title={MRI Super-Resolution with Deep Learning: A Comprehensive Survey},
  author={Khateri, Mohammad and Vasylechko, Serge and Ghahremani, Morteza and Timms, Liam and Kocanaogullari, Deniz and Warfield, Simon K and Jaimes, Camilo and Karimi, Davood and Sierra, Alejandra and Tohka, Jussi and others},
  journal={arXiv preprint arXiv:2511.16854},
  year={2025}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support