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KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for
  Radiology Report Summarization

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization

10 July 2023
Gangwoo Kim
Hajung Kim
Lei Ji
Seongsu Bae
Chanhwi Kim
Mujeen Sung
Hyunjae Kim
Kun Yan
E. Chang
Jaewoo Kang
    VLM
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Papers citing "KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization"

4 / 4 papers shown
Title
Improving the Factual Correctness of Radiology Report Generation with
  Semantic Rewards
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards
Jean-Benoit Delbrouck
Pierre J. Chambon
Christian Blüthgen
E. Tsai
Omar Almusa
C. Langlotz
MedIm
61
76
0
21 Oct 2022
Multi-Modal Masked Autoencoders for Medical Vision-and-Language
  Pre-Training
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
Zhihong Chen
Yu Du
Jinpeng Hu
Yang Liu
Guanbin Li
Xiang Wan
Tsung-Hui Chang
91
111
0
15 Sep 2022
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Fenglin Liu
Chenyu You
Xian Wu
Shen Ge
Sheng Wang
Xu Sun
MedIm
81
92
0
08 Nov 2021
Improving Factual Completeness and Consistency of Image-to-Text
  Radiology Report Generation
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura
Yuhao Zhang
Emily Bao Tsai
C. Langlotz
Dan Jurafsky
MedIm
160
157
0
20 Oct 2020
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