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  tags:
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  - model_hub_mixin
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  - pytorch_model_hub_mixin
 
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  ---
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- This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- - Code: [More Information Needed]
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- - Paper: [More Information Needed]
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- - Docs: [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tags:
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  - model_hub_mixin
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  - pytorch_model_hub_mixin
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+ license: mit
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  ---
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+ ## A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
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+
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+ - Code: [DLILP](https://github.com/jusiro/DLILP)
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+ - Paper: [IPMI 2025](https://link.springer.com/chapter/10.1007/978-3-031-96625-5_20) - [ArXiv](https://arxiv.org/abs/2504.05227)
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+ - Docs: [Documentation](https://github.com/jusiro/DLILP)
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+
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+ ### About "CXR_Unimodal_C" weights:
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+
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+ - A vision encoder for CXR pre-trained using only a vision encoder, via labels extracted trough NER extraction methods.
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+ - Pre-trained on CheXpert data.
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+
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+ If you find this repository useful, please consider citing this paper:
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+ ```
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+ @inproceedings{dlilp,
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+ title={A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?},
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+ author={Julio Silva-Rodríguez and Jose Dolz and Ismail {Ben Ayed}},
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+ booktitle={Information Processing in Medical Imaging (IPMI)},
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+ year={2025}
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+ }
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+ ```