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Medical report generation task, which targets to produce long and coherent descriptions of medical images, has attracted growing research interests recently.
MIMIC-CXR: A large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, and Steven Horng. 2019 · 1901
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Learning and development in neural networks: The importance of starting small
Jeffrey L Elman. 1993 · 1993
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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BLEU: a Method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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METEOR: an automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Fei-Fei Li. 2009 · 2009
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Difficulties in the interpretation of chest radiography
Louke Delrue, Robert Gosselin, Bart Ilsen, An Van Landeghem, Johan de Mey, and Philippe Duyck. 2011 · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
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Evidence-based guideline for the written radiology report: Methods, recommendations and implementation challenges
Stacy K Goergen, Felicity J Pool, Tari J Turner, Jane E Grimm, Mark N Appleyard, Carmel Crock, Michael C Fahey, Michael F Fay, Nicholas J Ferris, Susan M Liew, et al. 2013 · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Microsoft COCO captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, and C. Lawrence Zitnick. 2015 · 2015
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2015 · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D. Kohli, Marc B. Rosenman, Sonya E. Shooshan, Laritza Rodriguez, Sameer K. Antani, George R. Thoma, and Clement J. McDonald. 2016 · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation
Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, and Ronald M. Summers. 2016 · 2016
Cited alongside, same era.
Video paragraph captioning using hierarchical recurrent neural networks
Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, and Wei Xu. 2016 · 2016
Cited alongside, same era.
Curriculum learning and minibatch bucketing in neural machine translation
Tom Kocmi and Ondrej Bojar. 2017 · 2017
Cited alongside, same era.
A hierarchical approach for generating descriptive image paragraphs
Jonathan Krause, Justin Johnson, Ranjay Krishna, and Li Fei-Fei. 2017 · 2017
Cited alongside, same era.
Recurrent topic-transition GAN for visual paragraph generation
Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, and Eric P. Xing. 2017 · 2017
Cited alongside, same era.
Knowing when to look: Adaptive attention via a visual sentinel for image captioning
Show, describe and conclude: On exploiting the structure information of chest x-ray reports
Baoyu Jing, Zeya Wang, and Eric P. Xing. 2019 · 2019
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Reinforcement learning based curriculum optimization for neural machine translation
Gaurav Kumar, George F. Foster, Colin Cherry, and Maxim Krikun. 2019 · 2019
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Knowledge-driven encode, retrieve, paraphrase for medical image report generation
Christy Y. Li, Xiaodan Liang, Zhiting Hu, and Eric P. Xing. 2019 · 2019
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Clinically accurate chest x-ray report generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew B. A. McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, and Marzyeh Ghassemi. 2019 · 2019
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Competence-based curriculum learning for neural machine translation
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, and Tom M. Mitchell. 2019 · 2019
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Jiasen Lu, Caiming Xiong, Devi Parikh, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Self-critical sequence training for image captioning
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jarret Ross, and Vaibhava Goel. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Bottom-up and top-down attention for image captioning and VQA
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang. 2018 · 2018
Cited alongside, same era.
On the automatic generation of medical imaging reports
Baoyu Jing, Pengtao Xie, and Eric P. Xing. 2018 · 2018
Cited alongside, same era.
Hybrid retrieval-generation reinforced agent for medical image report generation
Yuan Li, Xiaodan Liang, Zhiting Hu, and Eric P. Xing. 2018 · 2018
Cited alongside, same era.
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, and Ronald M. Summers. 2018 · 2018
Cited alongside, same era.
Dynamic curriculum learning for imbalanced data classification
Yiru Wang, Weihao Gan, Jie Yang, Wei Wu, and Junjie Yan. 2019 · 2019
Later among the works it cites.
Automatic radiology report generation based on multi-view image fusion and medical concept enrichment
Jianbo Yuan, Haofu Liao, Rui Luo, and Jiebo Luo. 2019 · 2019
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Generating radiology reports via memory-driven transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan. 2020 · 2020
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Meshed-memory transformer for image captioning
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, and Rita Cucchiara. 2020 · 2020
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A competence-aware curriculum for visual concepts learning via question answering
Qing Li, Siyuan Huang, Yining Hong, and Song-Chun Zhu. 2020 · 2020
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Learning to generate clinically coherent chest x-ray reports
Justin R. Lovelace and Bobak Mortazavi. 2020 · 2020
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X-linear attention networks for image captioning
Yingwei Pan, Ting Yao, Yehao Li, and Tao Mei. 2020 · 2020
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Dynamic curriculum learning for low-resource neural machine translation
Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, and Jingbo Zhu. 2020 · 2020
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Reinforced curriculum learning on pre-trained neural machine translation models
Mingjun Zhao, Haijiang Wu, Di Niu, and Xiaoli Wang. 2020 · 2020
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Improving factual completeness and consistency of image-to-text radiology report generation
Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, and Dan Jurafsky. 2021 · 2021
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Aligntransformer: Hierarchical alignment of visual regions and disease tags for medical report generation
Di You, Fenglin Liu, Shen Ge, Xiaoxia Xie, Jing Zhang, and Xian Wu. 2021 · 2021
Later among the works it cites.