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    <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.</abstract>
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%0 Conference Proceedings
%T Overview of MiReportor: Generating Reports for Multimodal Medical Images
%A Wang, Xuwen
%A Ma, Hetong
%A Guo, Zhen
%A Li, Jiao
%Y Keet, C. Maria
%Y Lee, Hung-Yi
%Y Zarrieß, Sina
%S Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F wang-etal-2023-overview
%X 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.
%U https://aclanthology.org/2023.inlg-demos.1
%P 1-3

Markdown (Informal)

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

• Overview of MiReportor: Generating Reports for Multimodal Medical Images (Wang et al., INLG-SIGDIAL 2023)

ACL

• Xuwen Wang, Hetong Ma, Zhen Guo, and Jiao Li. 2023. Overview of MiReportor: Generating Reports for Multimodal Medical Images. In Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations, pages 1–3, Prague, Czechia. Association for Computational Linguistics.