MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models

Publication
In Proceedings of the 4th Machine Learning for Health Symposium

BibTeX

@InProceedings{pmlr-v259-sharma25a,
  title = {MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models},
  author = {Sharma, Harshita and Salvatelli, Valentina and Srivastav, Shaury and Bouzid, Kenza and Bannur, Shruthi and Castro, Daniel C. and Ilse, Maximilian and Bond-Taylor, Sam and Prasanna Ranjit, Mercy and Falck, Fabian and P{\'{e}}rez-Garc{\'{i}}a, Fernando and Schwaighofer, Anton and Richardson, Hannah and Wetscherek, Maria and Hyland, Stephanie and Alvarez-Valle, Javier},
  booktitle = {Proceedings of the 4th Machine Learning for Health Symposium},
  pages = {941--960},
  year = {2025},
  editor = {Hegselmann, Stefan and Zhou, Helen and Healey, Elizabeth and Chang, Trenton and Ellington, Caleb and Mhasawade, Vishwali and Tonekaboni, Sana and Argaw, Peniel and Zhang, Haoran},
  volume = {259},
  series = {Proceedings of Machine Learning Research},
  month = {15--16 Dec},
  publisher = {PMLR},
  url = {https://proceedings.mlr.press/v259/sharma25a.html}
}

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