README.md

# MRGen: Segmentation Data Engine for Underrepresented MRI Modalities (ICCV 2025)
This repository contains the curated MRGen-DB dataset proposed in MRGen: https://arxiv.org/abs/2412.04106/.

## Some Information
[Project Page](https://haoningwu3639.github.io/MRGen/) · [Paper](https://arxiv.org/abs/2412.04106/) · [Dataset](https://huggingface.co/datasets/haoningwu/MRGen-DB) · [Checkpoints](https://huggingface.co/haoningwu/MRGen)

## Dataset
Please check out [MRGen-DB](https://huggingface.co/datasets/haoningwu/MRGen-DB) to download our curated dataset, including two parts: `radiopaedia_data` and `conditional_dataset`.

For the conditional dataset, we have directly provided our processed data, including the raw image, mask annotations, and text descriptions.

As described in our paper, considering the data privacy concerns of [Radiopaedia](radiopaedia.org), we only release the JSON files of this part here.
For each case, the format is represented as `./radiopaedia/{patient_id}/{case_id}/{volume_id}/{slice_id}.jpeg`, for example, `./radiopaedia/2564/1/MRI_4/1.jpeg`.
This format allows you to locate the corresponding original volume through the `link` provided in our JSON files. 
After obtaining official authorization from Radiopaedia, you may download the data corresponding to the JSON file on your own. 
Alternatively, you can send the authorization via email to us (`[email protected]` or `[email protected]`) to obtain the download link for the image data in our MRGen-DB.

## Citation
If you use this dataset for your research or project, please cite:

	@inproceedings{wu2025mrgen,
      author    = {Wu, Haoning and Zhao, Ziheng and Zhang, Ya and Wang, Yanfeng and Xie, Weidi},
      title     = {MRGen: Segmentation Data Engine for Underrepresented MRI Modalities},
      booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}
      year      = {2025},
    }

## Contact
If you have any questions, please feel free to contact [email protected] or Zhao[email protected].