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Automatic medical report generation (MRG) is of great research value as it has the potential to relieve radiologists from the heavy burden of report writing.
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Johnson, A. E.; Pollard, T. J.; Greenbaum, N. R.; Lungren, M. P.; Deng, C.-y.; Peng, Y.; Lu, Z.; Mark, R. G.; Berkowitz, S. J.; and Horng, S. 2019 · 1901
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Bleu: a method for automatic evaluation of machine translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
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Rouge: A package for automatic evaluation of summaries
Lin, C.-Y. 2004 · 2004
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Meteor 1.3: Automatic metric for reliable optimization and evaluation of machine translation systems
Denkowski, M.; and Lavie, A. 2011 · 2011
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Preparing a collection of radiology examinations for distribution and retrieval
Demner-Fushman, D.; Kohli, M. D.; Rosenman, M. B.; Shooshan, S. E.; Rodriguez, L.; Antani, S.; Thoma, G. R.; and McDonald, C. J. 2016 · 2016
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Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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Decoupled weight decay regularization
Loshchilov, I.; and Hutter, F. 2017 · 2017
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Knowing when to look: Adaptive attention via a visual sentinel for image captioning
Lu, J.; Xiong, C.; Parikh, D.; and Socher, R. 2017 · 2017
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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On the Automatic Generation of Medical Imaging Reports
Jing, B.; Xie, P.; and Xing, E. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Generating Radiology Reports via Memory-driven Transformer
Chen, Z.; Song, Y.; Chang, T.-H.; and Wan, X. 2020 · 2020
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Deep mining external imperfect data for chest X-ray disease screening
Luo, L.; Yu, L.; Chen, H.; Liu, Q.; Wang, X.; Xu, J.; and Heng, P.-A. 2020 · 2020
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Long-tail learning via logit adjustment
Menon, A. K.; Jayasumana, S.; Rawat, A. S.; Jain, H.; Veit, A.; and Kumar, S. 2020 · 2020
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Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Smit, A.; Jain, S.; Rajpurkar, P.; Pareek, A.; Ng, A. Y.; and Lungren, M. 2020 · 2020
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When radiology report generation meets knowledge graph
Zhang, Y.; Wang, X.; Xu, Z.; Yu, Q.; Yuille, A.; and Xu, D. 2020 · 2020
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Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model
Endo, M.; Krishnan, R.; Krishna, V.; Ng, A. Y.; and Rajpurkar, P. 2021 · 2021
Cited alongside, same era.
Improving image captioning by leveraging intra-and inter-layer global representation in transformer network
Ji, J.; Luo, Y.; Sun, X.; Chen, F.; Luo, G.; Wu, Y.; Gao, Y.; and Ji, R. 2021 · 2021
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The Power of Scale for Parameter-Efficient Prompt Tuning
Lester, B.; Al-Rfou, R.; and Constant, N. 2021 · 2021
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Ffa-ir: Towards an explainable and reliable medical report generation benchmark
Li, M.; et al. 2021 · 2021
Cited alongside, same era.
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Li, X. L.; and Liang, P. 2021 · 2021
Cited alongside, same era.
Oxnet: Deep omni-supervised thoracic disease detection from chest x-rays
Pseudo bias-balanced learning for debiased chest x-ray classification
Luo, L.; Xu, D.; Chen, H.; Wong, T.-T.; and Heng, P.-A. 2022 · 2022
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Improving chest X-Ray report generation by leveraging warm-starting
Nicolson, A.; Dowling, J.; and Koopman, B. 2022 · 2022
Later among the works it cites.
Automated radiographic report generation purely on transformer: A multicriteria supervised approach
Wang, Z.; Han, H.; Wang, L.; Li, X.; and Zhou, L. 2022 · 2022
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Clinical-BERT: Vision-language pre-training for radiograph diagnosis and reports generation
Yan, B.; and Pei, M. 2022 · 2022
Later among the works it cites.
Knowledge matters: Chest radiology report generation with general and specific knowledge
Yang, S.; Wu, X.; Ge, S.; Zhou, S. K.; and Xiao, L. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Luo, L.; Chen, H.; Zhou, Y.; Lin, H.; and Heng, P.-A. 2021 · 2021
Cited alongside, same era.
Progressive Transformer-Based Generation of Radiology Reports
Nooralahzadeh, F.; Gonzalez, N. P.; Frauenfelder, T.; Fujimoto, K.; and Krauthammer, M. 2021 · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
Cited alongside, same era.
Multimodal few-shot learning with frozen language models
Tsimpoukelli, M.; Menick, J. L.; Cabi, S.; Eslami, S.; Vinyals, O.; and Hill, F. 2021 · 2021
Cited alongside, same era.
A self-boosting framework for automated radiographic report generation
Wang, Z.; Zhou, L.; Wang, L.; and Li, X. 2021 · 2021
Cited alongside, same era.
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
Yan, A.; He, Z.; Lu, X.; Du, J.; Chang, E.; Gentili, A.; McAuley, J.; and Hsu, C.-n. 2021 · 2021
Cited alongside, same era.
Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling
Zhang, B.; Wang, Y.; Hou, W.; Wu, H.; Wang, J.; Okumura, M.; and Shinozaki, T. 2021 · 2021
Cited alongside, same era.
Learning to prompt for vision-language models
Zhou, K.; Yang, J.; Loy, C. C.; and Liu, Z. 2022 · 2022
Later among the works it cites.
KiUT: Knowledge-injected U-Transformer for Radiology Report Generation
Huang, Z.; Zhang, X.; and Zhang, S. 2023 · 2023
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Unsupervised Domain Adaptation for Anatomical Landmark Detection
Jin, H.; Che, H.; and Chen, H. 2023 · 2023
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Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation
Li, M.; Lin, B.; Chen, Z.; Lin, H.; Liang, X.; and Chang, X. 2023 · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Liu, P.; Yuan, W.; Fu, J.; Jiang, Z.; Hayashi, H.; and Neubig, G. 2023 · 2023
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Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study
Qin, Z.; Yi, H. H.; Lao, Q.; and Li, K. 2023 · 2023
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Interactive and Explainable Region-guided Radiology Report Generation
Tanida, T.; Müller, P.; Kaissis, G.; and Rueckert, D. 2023 · 2023
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METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens
Wang, Z.; Liu, L.; Wang, L.; and Zhou, L. 2023 · 2023
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Radiology report generation with a learned knowledge base and multi-modal alignment
Yang, S.; Wu, X.; Ge, S.; Zheng, Z.; Zhou, S. K.; and Xiao, L. 2023 · 2023
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Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Zheng, L.; Chiang, W.-L.; Sheng, Y.; Zhuang, S.; Wu, Z.; Zhuang, Y.; Lin, Z.; Li, Z.; Li, D.; Xing, E. P.; Zhang, H.; Gonzalez, J. E.; and Stoica, I. 2023 · 2023
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Show, attend and tell: Neural image caption generation with visual attention
Xu, K.; Ba, J.; Kiros, R.; Cho, K.; Courville, A.; Salakhudinov, R.; Zemel, R.; and Bengio, Y. 2015 · 2057
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