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The extraction of labels from radiology text reports enables large-scale training of medical imaging models.
PadChest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria de la Iglesia-Vayá. 2019 · 1901
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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
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. 2019 · 1901
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MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
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. 2019 · 1901
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2019 · 1901
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Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger Goldman, Christopher Lee-Messer, Matthew Lungren, Daniel Rubin, and Christopher Ré. 2019 · 1903
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Yifan Peng, Shankai Yan, and Zhiyong Lu. 2019 · 1906
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XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2020 · 1906
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Facebook FAIR’s WMT19 News Translation Task Submission
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, and Sergey Edunov. 2019 · 1907
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Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy
B. Efron and R. Tibshirani. 1986 · 1986
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A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries
Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, and Bruce G. Buchanan. 2001 · 2001
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Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth Barker, Sebastian Ourselin, James H. Cole, and Thomas C. Booth. 2020 · 2002
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The Unified Medical Language System (UMLS): integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, and Christopher G Chute. 2010 · 2010
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Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm
Brian E. Chapman, Sean Lee, Hyunseok Peter Kang, and Wendy W. Chapman. 2011 · 2011
Cited alongside, same era.
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Cited alongside, same era.
Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Natural Language Processing in Radiology: A Systematic Review
Ewoud Pons, Loes M. M. Braun, M. G. Myriam Hunink, and Jan A. Kors. 2016 · 2016
Cited alongside, same era.
Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury
Kabir Yadav, Efsun Sarioglu, Hyeong Ah Choi, Walter B. Cartwright, Pamela S. Hinds, and James M. Chamberlain. 2016 · 2016
Cited alongside, same era.
Clinical information extraction applications: A literature review
Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, and Hongfang Liu. 2018 · 2018
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QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V. Le. 2018 · 2018
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Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports
John Zech, Margaret Pain, Joseph Titano, Marcus Badgeley, Javin Schefflein, Andres Su, Anthony Costa, Joshua Bederson, Joseph Lehar, and Eric Karl Oermann. 2018 · 2018
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Publicly Available Clinical BERT Embeddings
Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, and Matthew McDermott. 2019 · 2019
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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 · 2019
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Deep Learning to Classify Radiology Free-Text Reports
Matthew C. Chen, Robyn L. Ball, Lingyao Yang, Nathaniel Moradzadeh, Brian E. Chapman, David B. Larson, Curtis P. Langlotz, Timothy J. Amrhein, and Matthew P. Lungren. 2017 · 2017
Cited alongside, same era.
Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield
Saeed Hassanpour, Curtis P. Langlotz, Timothy J. Amrhein, Nicholas T. Befera, and Matthew P. Lungren. 2017 · 2017
Cited alongside, same era.
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald Summers, and Zhiyong Lu. 2017 · 2017
Cited alongside, same era.
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M. Summers. 2017 · 2017
Cited alongside, same era.
Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort
Imon Banerjee, Matthew C. Chen, Matthew P. Lungren, and Daniel L. Rubin. 2018 · 2018
Cited alongside, same era.
Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports
Po-Hao Chen, Hanna Zafar, Maya Galperin-Aizenberg, and Tessa Cook. 2018 · 2018
Cited alongside, same era.
Investigating Backtranslation in Neural Machine Translation
Alberto Poncelas, Dimitar Shterionov, Andy Way, Gideon Maillette de Buy Wenniger, and Peyman Passban. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm
Selen Bozkurt, Emel Alkim, Imon Banerjee, and Daniel L. Rubin. 2019 · 2019
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Medical device surveillance with electronic health records
Alison Callahan, Jason A. Fries, Christopher Ré, James I. Huddleston, Nicholas J. Giori, Scott Delp, and Nigam H. Shah. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Doubly Weak Supervision of Deep Learning Models for Head CT
Khaled Saab, Jared Dunnmon, Roger Goldman, Alex Ratner, Hersh Sagreiya, Christopher Ré, and Daniel Rubin. 2019 · 2019
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Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
Kui Xue, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Huanhuan Zhang, and Ping He. 2019 · 2019
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Supervised and unsupervised language modelling in Chest X-Ray radiological reports
Ignat Drozdov, Daniel Forbes, Benjamin Szubert, Mark Hall, Chris Carlin, and David J. Lowe. 2020 · 2020
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Chexpert++: Approximating the chexpert labeler for speed,differentiability, and probabilistic output
Matthew B. A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng, Marzyeh Ghassemi, and Peter Szolovits. 2020 · 2020
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Snorkel: rapid training data creation with weak supervision
Alexander Ratner, Stephen H. Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré. 2020 · 2020
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