README.md

---
dataset_info:
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- config_name: kneeMRI
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- config_name: luna16-3D
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configs:
- config_name: anatomy-ct
  data_files:
  - split: train
    path: anatomy-ct/train-*
  - split: val
    path: anatomy-ct/val-*
  - split: test
    path: anatomy-ct/test-*
- config_name: anatomy-mri
  data_files:
  - split: train
    path: anatomy-mri/train-*
  - split: val
    path: anatomy-mri/val-*
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    path: anatomy-mri/test-*
- config_name: covidx-ct
  data_files:
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    path: covidx-ct/train-*
  - split: val
    path: covidx-ct/val-*
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    path: covidx-ct/test-*
- config_name: deep-lesion-site
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    path: deep-lesion-site/train-*
  - split: val
    path: deep-lesion-site/val-*
  - split: test
    path: deep-lesion-site/test-*
- config_name: emidec-classification-mask
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    path: emidec-classification-mask/train-*
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    path: emidec-classification-mask/val-*
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    path: emidec-classification-mask/test-*
- config_name: ixi
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    path: ixi/val-*
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    path: ixi/test-*
- config_name: kits
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    path: kits/train-*
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- config_name: kneeMRI
  data_files:
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    path: kneeMRI/train-*
  - split: val
    path: kneeMRI/val-*
  - split: test
    path: kneeMRI/test-*
- config_name: luna16
  data_files:
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    path: luna16/train-*
  - split: val
    path: luna16/val-*
  - split: test
    path: luna16/test-*
- config_name: luna16-3D
  data_files:
  - split: train
    path: luna16-3D/train-*
  - split: val
    path: luna16-3D/val-*
  - split: test
    path: luna16-3D/test-*
- config_name: oasis
  data_files:
  - split: train
    path: oasis/train-*
  - split: val
    path: oasis/val-*
  - split: test
    path: oasis/test-*
license: cc-by-nc-sa-4.0
---



<div align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/62cdea59a9be5c195561c2b8/JaS4YslW9wFR8dZ7LMawz.png" width="40%" alt="Raidium" />
</div>
<hr>


<p align="center">
  <a href="https://github.com/raidium-med/curia"><b>🌟 Github</b></a> |
  <a href="https://arxiv.org/abs/2509.06830"><b>📄 Paper Link</b></a> |
  <a href="https://raidium.eu/bench"><b>🌐 Blog post</b></a>
  
</p>
<h2>
<p align="center">
  <h1 align="center">CuriaBench; Benchmark for the paper Curia: A Multi-Modal Foundation Model for Radiology</h1>
</p>
</h2>

<div align="center">
  <img src="https://cdn-uploads.huggingface.co/production/uploads/62cdea59a9be5c195561c2b8/RJLhOQBQSyqgkoDWd5pLt.png" width="40%" alt="Raidium" />
</div>
<hr>

## Usage

This repo contains evaluation datasets fro mthe Curia paper https://arxiv.org/abs/2509.06830.

You can run the curia evaluation pipeline using our github repo at https://github.com/raidium-med/curia.

The Curia-B model is available on huggingface: https://huggingface.co/raidium/curia

## Acknowledgments

The benchmark has been built from the following public datasets:


- CT Organ Recognition — TotalSegmentator (CT) — Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator
- MRI Organ Recognition — TotalSegmentator MRI — D’Antonoli et al., arXiv:2405.19492, 2024. https://arxiv.org/abs/2405.19492
- Cross-Modality Organ Recognition — TotalSegmentator CT & MRI — Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator
- Neuroimaging Age Estimation — IXI Dataset — Brain Development Project. https://brain-development.org/ixi-dataset/
- Lung Nodule Malignancy — LUNA16 — Setio et al., Med. Image Anal., 2017. https://luna16.grand-challenge.org/
- Kidney Lesion Malignancy — KiTS23 — Heller et al., arXiv:2307.01984, 2023. https://kits-challenge.org/
- Tumor Localisation — DeepLesion — Yan et al., J. Med. Imaging, 2018. https://nihcc.app.box.com/v/DeepLesion
- ACL Tear — KneeMRI dataset — Štajduhar et al., Comput. Methods Programs Biomed., 2017. https://zenodo.org/records/14789903
- Myocardial Infarction — EMIDEC — MICCAI 2020 Challenge. https://emidec.com/
- Stroke — ATLAS v2.0 — Liew et al., Front. Neuroinform., 2022. https://fcon_1000.projects.nitrc.org/indi/retro/atlas.html
- Alzheimer’s Disease — OASIS-1 — Marcus et al., J. Cogn. Neurosci., 2007. https://www.oasis-brains.org/
- Pulmonary Infections — COVIDx CT — Gunraj et al., Front. Med., 2021. https://github.com/haydengunraj/COVIDNet-CT/blob/master/docs/dataset.md



## Cite our paper
```
@article{dancette2025curia,
  title={Curia: A Multi-Modal Foundation Model for Radiology},
  author={Dancette, Corentin and Khlaut, Julien and Saporta, Antoine and Philippe, Helene and Ferreres, Elodie and Callard, Baptiste and Danielou, Th{\'e}o and Alberge, L{\'e}o and Machado, L{\'e}o and Tordjman, Daniel and others},
  journal={arXiv preprint arXiv:2509.06830},
  year={2025}
}
```