@inproceedings{wang-etal-2023-overview,
    title = "Overview of {M}i{R}eportor: Generating Reports for Multimodal Medical Images",
    author = "Wang, Xuwen  and
      Ma, Hetong  and
      Guo, Zhen  and
      Li, Jiao",
    editor = "Keet, C. Maria  and
      Lee, Hung-Yi  and
      Zarrie{\ss}, Sina",
    booktitle = "Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations",
    month = sep,
    year = "2023",
    address = "Prague, Czechia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2023.inlg-demos.1/",
    pages = "1--3",
    abstract = "This demo paper presents a brief introduction of MiReportor, a computer-aided medical imaging report generator, which leverages a unified framework of medical image understanding and generation to predict readable descriptions for medical images, and assists radiologists in imaging reports writing."
}