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2303.00915

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@@ -23,7 +23,7 @@ BiomedCLIP establishes new state of the art in a wide range of standard datasets
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  ```bibtex
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  @misc{https://doi.org/10.48550/arXiv.2303.00915,
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  doi = {10.48550/ARXIV.2303.00915},
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- url = {https://arxiv.org/abs/2204.09817},
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  author = {Zhang, Sheng and Xu, Yanbo and Usuyama, Naoto and Bagga, Jaspreet and Tinn, Robert and Preston, Sam and Rao, Rajesh and Wei, Mu and Valluri, Naveen and Wong, Cliff and Lungren, Matthew and Naumann, Tristan and Poon, Hoifung},
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  title = {Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing},
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  publisher = {arXiv},
 
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  ```bibtex
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  @misc{https://doi.org/10.48550/arXiv.2303.00915,
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  doi = {10.48550/ARXIV.2303.00915},
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+ url = {https://arxiv.org/abs/2303.00915},
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  author = {Zhang, Sheng and Xu, Yanbo and Usuyama, Naoto and Bagga, Jaspreet and Tinn, Robert and Preston, Sam and Rao, Rajesh and Wei, Mu and Valluri, Naveen and Wong, Cliff and Lungren, Matthew and Naumann, Tristan and Poon, Hoifung},
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  title = {Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing},
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  publisher = {arXiv},