@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://aclanthology.org/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.",
}
Markdown (Informal)
[Overview of MiReportor: Generating Reports for Multimodal Medical Images](https://aclanthology.org/2023.inlg-demos.1) (Wang et al., INLG-SIGDIAL 2023)
ACL