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DermatoLlama-200k

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  If you use this model, dataset, or any other asset from our work in your research, we kindly ask that you please cite our preprint:
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  ```bibtex
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- @article{Yilmaz_2024,
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  author = {Yilmaz, Abdurrahim and Yuceyalcin, Furkan and Varol, Rahmetullah and Gokyayla, Ece and Erdem, Ozan and Choi, Donghee and Demircali, Ali Anil and Gencoglan, Gulsum and Posma, Joram M. and Temelkuran, Burak},
 
 
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  doi = {10.1101/2025.05.17.25327785},
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- journal = {medRxiv},
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- title = {A synthetic data generation framework for scalable and resource-efficient medical AI assistants},
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- url = {https://www.medrxiv.org/content/10.1101/2025.05.17.25327785v1},
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- year = {2025}
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  }
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  ```
 
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  If you use this model, dataset, or any other asset from our work in your research, we kindly ask that you please cite our preprint:
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  ```bibtex
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+ @article {Yilmaz2025-DermatoLlama-VLM,
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  author = {Yilmaz, Abdurrahim and Yuceyalcin, Furkan and Varol, Rahmetullah and Gokyayla, Ece and Erdem, Ozan and Choi, Donghee and Demircali, Ali Anil and Gencoglan, Gulsum and Posma, Joram M. and Temelkuran, Burak},
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+ title = {Resource-efficient medical vision language model for dermatology via a synthetic data generation framework},
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+ year = {2025},
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  doi = {10.1101/2025.05.17.25327785},
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+ url = {https://www.medrxiv.org/content/early/2025/07/30/2025.05.17.25327785},
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+ journal = {medRxiv}
 
 
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  }
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  ```