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Clinical deployment of deep learning algorithms for chest x-ray interpretation requires a solution that can integrate into the vast spectrum of clinical workflows across the world.
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 L. Ball, Katie S. 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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Benchmarking neural network robustness to common corruptions and perturbations
Dan Hendrycks and Thomas G. Dietterich · 1903
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The first telemedicine link for the british forces
DJ Vassallo, PJ Buxton, JH Kilbey, and M Trasler · 1998
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Image and diagnosis quality of x-ray image transmission via cell phone camera: A project study evaluating quality and reliability
Hans Goost, Johannes Witten, Andreas Heck, Dariusch Hadizadeh, Oliver Weber, Ingo Gräff, Christof Burger, Mareen Montag, Felix Koerfer, and Koroush Kabir · 2012
Earlier work this paper cites.
Explaining and harnessing adversarial examples, 2014
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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The accuracy of mobile teleradiology in the evaluation of chest x-rays
Adam B Schwartz, Gina Siddiqui, John S Barbieri, Amana L Akhtar, Woojin Kim, Ryan Littman-Quinn, Emily F Conant, Narainder K Gupta, Bryan A Pukenas, Parvati Ramchandani, Anna S Lev-Toaff, Jennifer D Tobey, Drew A Torigian, Amy H Praestgaard, and Carrie L Kovarik · 2014
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, and Kilian Q. Weinberger · 2016
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Adversarial examples in the physical world
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 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
X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, and R. M. Summers · 2017
Cited alongside, same era.
How far have we come? artificial intelligence for chest radiograph interpretation
K. Kallianos, J. Mongan, Sameer Antani, T. Henry, A. Taylor, Joseph Abuya, and M. Kohli · 2018
Cited alongside, same era.
Deep learning for chest radiograph diagnosis: A retrospective comparison of the chexnext algorithm to practicing radiologists
Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P. Langlotz, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Francis G. Blankenberg, Jayne Seekins, Timothy J. Amrhein, David A. Mong, Safwan S. Halabi, Evan J. Zucker, Andrew Y. Ng, and Matthew P. Lungren · 2018
Cited alongside, same era.
Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs
Ju Gang Nam, Sunggyun Park, Eui Jin Hwang, Jong Hyuk Lee, Kwang-Nam Jin, Kun Young Lim, Thienkai Huy Vu, Jae Ho Sohn, Sangheum Hwang, Jin Mo Goo, and Chang Min Park · 2019
Later among the works it cites.
Automated triaging of adult chest radiographs with deep artificial neural networks
Samuel Withey, Vicky Goh, Giovanni Montana, Emanuele Pesce, and Robert Bakewell · 2019
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CodaLab , 2020
Percy Liang, Isabelle Guyon, Evelyne Viegas, Sergio Escalera, Xavier Baró Solé, and Eric Carmichael · 2020
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Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, and Matthew P. Lungren · 2020
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
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Deep learning in chest radiography: Detection of findings and presence of change
Ramandeep Singh, Mannudeep K. Kalra, Chayanin Nitiwarangkul, John A. Patti, Fatemeh Homayounieh, Atul Padole, Pooja Rao, Preetham Putha, Victorine V. Muse, Amita Sharma, and Subba R. Digumarthy · 2018
Cited alongside, same era.
Padchest: A large chest x-ray image dataset with multi-label annotated reports, 2019
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria de la Iglesia-Vayá · 2019
Cited alongside, same era.
Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
Eui Jin Hwang, Sunggyun Park, Kwang-Nam Jin, Jung Im Kim, So Young Choi, Jong Hyuk Lee, Jin Mo Goo, Jaehong Aum, Jae-Joon Yim, Julien G. Cohen, Gilbert R. Ferretti, Chang Min Park, for the DLAD Development, and Evaluation Group · 2019
Cited alongside, same era.
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 · 2052
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Paediatric radiology seen from africa. part i: providing diagnostic imaging to a young population
Savvas Andronikou, Kieran McHugh, Nuraan Abdurahman, Bryan Khoury, Victor Mngomezulu, William E. Brant, Ian Cowan, Mignon McCulloch, and Nathan Ford · 2081
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