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Automated generation of clinically accurate radiology reports can improve patient care.
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison, 2019
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng · 1901
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Mimic-cxr-jpg, a large publicly available database of labeled chest radiographs, 2019
Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G. Mark, Seth J. Berkowitz, and Steven Horng · 1901
Earlier work this paper cites.
Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi · 1904
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Meshed-memory transformer for image captioning
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, and Rita Cucchiara · 1912
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2010
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Im2text: Describing images using 1 million captioned photographs
Vicente Ordonez, Girish Kulkarni, and Tamara Berg · 2011
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, and Li Fei-Fei · 2016
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On the automatic generation of medical imaging reports
Baoyu Jing, Pengtao Xie, and Eric Xing · 2018
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Lessons from natural language inference in the clinical domain
Alexey Romanov and Chaitanya Shivade · 2018
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Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut · 2018
Cited alongside, same era.
Automated triaging of adult chest radiographs with deep artificial neural networks
Mauro Annarumma, Samuel J. Withey, Robert J. Bakewell, Emanuele Pesce, Vicky Goh, and Giovanni Montana · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Baselines for Chest X-Ray Report Generation
William Boag, Tzu-Ming Harry Hsu, Matthew Mcdermott, Gabriela Berner, Emily Alesentzer, and Peter Szolovits · 2020
Cited alongside, same era.
Generating radiology reports via memory-driven transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan · 2020
Cited alongside, same era.
How to create a great radiology report
Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq R. Joty, Caiming Xiong, and Steven C. H. Hoi · 2021
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Improving factual completeness and consistency of image-to-text radiology report generation
Yasuhide Miura, Yuhao Zhang, Emily Tsai, Curtis Langlotz, and Dan Jurafsky · 2021
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Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence–Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis
Ntwali Placide Nsengiyumva, Hamidah Hussain, Olivia Oxlade, Arman Majidulla, Ahsana Nazish, Aamir J Khan, Dick Menzies, Faiz Ahmad Khan, and Kevin Schwartzman · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Michael P. Hartung, Ian C. Bickle, Frank Gaillard, and Jeffrey P. Kanne · 2020
Cited alongside, same era.
Deep convolutional neural network–based software improves radiologist detection of malignant lung nodules on chest radiographs
Yongsik Sim, Myung Jin Chung, Elmar Kotter, Sehyo Yune, Myeongchan Kim, Synho Do, Kyunghwa Han, Hanmyoung Kim, Seungwook Yang, Dong-Jae Lee, and Byoung Wook Choi · 2020
Cited alongside, same era.
Combining automatic labelers and expert annotations for accurate radiology report labeling using BERT
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Ng, and Matthew Lungren · 2020
Cited alongside, same era.
Diagnosis of normal chest radiographs using an autonomous deep-learning algorithm
T. Dyer, L. Dillard, M. Harrison, T. Naunton Morgan, R. Tappouni, Q. Malik, and S. Rasalingham · 2021
Cited alongside, same era.
Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model
Mark Endo, Rayan Krishnan, Viswesh Krishna, Andrew Y. Ng, and Pranav Rajpurkar · 2021
Cited alongside, same era.
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
Jarrel Seah, Cyril Tang, Quinlan Buchlak, Xavier Holt, Jeffrey Wardman, Anuar Aimoldin, Nazanin Esmaili, Hassan Ahmad, Hung Pham, John Lambert, Ben Hachey, Stephen Hogg, Benjamin Johnston, Christine Bennett, Luke Oakden-Rayner, Peter Brotchie, and Catherine Jones · 2021
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Weakly supervised contrastive learning for chest X-ray report generation
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, and Chun-Nan Hsu · 2021
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Junnan Li, Dongxu Li, Caiming Xiong, and Steven C. H. Hoi · 2022
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Improving chest x-ray report generation by leveraging warm-starting
Aaron Nicolson, Jason Dowling, and Bevan Koopman · 2022
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Vignav Ramesh, Nathan Andrew Chi, and Pranav Rajpurkar · 2022
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Evaluating progress in automatic chest x-ray radiology report generation
Feiyang Yu, Mark Endo, Rayan Krishnan, Ian Pan, Andy Tsai, Eduardo Pontes Reis, Eduardo Kaiser Ururahy Nunes Fonseca, Henrique Min Ho Lee, Zahra Shakeri Hossein Abad, Andrew Y. Ng, Curtis P. Langlotz, Vasantha Kumar Venugopal, and Pranav Rajpurkar · 2022
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