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configs:
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path: anatomy-ct/train-*
- split: val
path: anatomy-ct/val-*
- split: test
path: anatomy-ct/test-*
- config_name: anatomy-mri
data_files:
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path: anatomy-mri/train-*
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path: anatomy-mri/val-*
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path: anatomy-mri/test-*
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path: covidx-ct/train-*
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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-*
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path: deep-lesion-site/val-*
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path: deep-lesion-site/test-*
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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-*
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path: ixi/train-*
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path: ixi/val-*
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path: ixi/test-*
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path: kits/train-*
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path: kits/val-*
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path: kits/test-*
- config_name: kneeMRI
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path: kneeMRI/train-*
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path: kneeMRI/val-*
- split: test
path: kneeMRI/test-*
- config_name: luna16
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path: luna16/train-*
- split: val
path: luna16/val-*
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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-*
π Github | π Paper Link | π Blog post
CuriaBench; Benchmark for the paper Curia: A Multi-Modal Foundation Model for Radiology
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 β TotalSegmentator (CT) β Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator
- MRI Organ Recognition β TotalSegmentator MRI β DβAntonoli et al., arXiv:2405.19492, 2024. https://arxiv.org/abs/2405.19492
- Cross-Modality Organ Recognition β TotalSegmentator CT & MRI β Wasserthal et al., Nat. Commun., 2023. https://github.com/wasserth/TotalSegmentator
- Neuroimaging Age Estimation β IXI Dataset β Brain Development Project. https://brain-development.org/ixi-dataset/
- Lung Nodule Malignancy β LUNA16 β Setio et al., Med. Image Anal., 2017. https://luna16.grand-challenge.org/
- Kidney Lesion Malignancy β KiTS23 β Heller et al., arXiv:2307.01984, 2023. https://kits-challenge.org/
- Tumor Localisation β DeepLesion β Yan et al., J. Med. Imaging, 2018. https://nihcc.app.box.com/v/DeepLesion
- ACL Tear β KneeMRI dataset β Ε tajduhar et al., Comput. Methods Programs Biomed., 2017. https://zenodo.org/records/14789903
- Myocardial Infarction β EMIDEC β MICCAI 2020 Challenge. https://emidec.com/
- Stroke β ATLAS v2.0 β Liew et al., Front. Neuroinform., 2022. https://fcon_1000.projects.nitrc.org/indi/retro/atlas.html
- Alzheimerβs Disease β OASIS-1 β Marcus et al., J. Cogn. Neurosci., 2007. https://www.oasis-brains.org/
- Pulmonary Infections β COVIDx CT β 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}
}