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The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population.
Imagenet: A large-scale hierarchical image database
Deng, J · 2009
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Very deep convolutional networks for large-scale image recognition (2014)
Simonyan, K. & Zisserman, A · 2014
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Deep learning
LeCun, Y., Bengio, Y. & Hinton, G · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S. & Sun, J · 2016
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Densely connected convolutional networks
Huang, G., Liu, Z. & Weinberger, K. Q · 2016
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Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
Wang, X · 2017
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Wong, A., Shafiee, M. J., Chwyl, B. & Li, F · 2018
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Wong, A · 2018
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COVID-19 radiography database
of North America, R. S · 2019
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RSNA pneumonia detection challenge
of North America, R. S · 2019
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Lin, Z. Q · 2019
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Detection of SARS-CoV-2 in different types of clinical specimens
Wang, W · 2020
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Covid-19 testing: The threat of false-negative results
West, C. P., Montori, V. M. & Sampathkumar, P · 2020
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Sensitivity of chest CT for covid-19: Comparison to RT-PCR
Fang, Y · 2020
Cited alongside, same era.
Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-ncov infections
Yang, Y · 2020
Cited alongside, same era.
Estimating false-negative detection rate of sars-cov-2 by rt-pcr
Wikramaratna, P., Paton, R. S., Ghafari, M. & Lourenco, J · 2020
Cited alongside, same era.
Imaging profile of the COVID-19 infection: Radiologic findings and literature review
Ng, M.-Y · 2020
Cited alongside, same era.
Clinical features of patients infected with 2019 novel coronavirus in wuhan, china
Huang, C · 2020
Cited alongside, same era.
Clinical characteristics of coronavirus disease 2019 in china
Guan W.J., H. Y., Ni Z.Y · 2020
Gozes, O · 2020
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Deep learning system to screen coronavirus disease 2019 pneumonia
Xu, X · 2020
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Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT
Li, L · 2020
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Shi, F · 2020
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Covid-mobilexpert: On-device covid-19 screening using snapshots of chest x-ray
Li, X., Li, C. & Zhu, D · 2020
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Cited alongside, same era.
Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in china: A report of 1014 cases
Ai, T · 2020
Cited alongside, same era.
The role of chest imaging in patient management during the COVID-19 pandemic: A multinational consensus statement from the fleischner society
Rubin, G. D · 2020
Cited alongside, same era.
A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic
Nair, A · 2020
Cited alongside, same era.
Portable chest x-ray in coronavirus disease-19 (covid-19): A pictorial review
Adam Jacobi, A. B., Michael Chung & Eber, C · 2020
Cited alongside, same era.
COVID-19 image data collection
Cohen, J. P., Morrison, P. & Dao, L · 2020
Cited alongside, same era.
Figure 1 COVID-19 chest x-ray data initiative
Chung, A · 2020
Cited alongside, same era.
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Deep-covid: Predicting covid-19 from chest x-ray images using deep transfer learning
Minaee, S., Kafieh, R., Sonka, M., Yazdani, S. & Soufi, G. J · 2020
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Covid-caps: A capsule network-based framework for identification of covid-19 cases from x-ray images
Afshar, P · 2020
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Luz, E · 2020
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Coronet: A deep network architecture for semi-supervised task-based identification of covid-19 from chest x-ray images
Khobahi, S., Agarwal, C. & Soltanalian, M · 2020
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COVIDiagnosis-net: Deep bayes-squeezenet based diagnosis of the coronavirus disease 2019 (COVID-19) from x-ray images
Ucar, F. & Korkmaz, D · 2020
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Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data
Tartaglione, E., Barbano, C. A., Berzovini, C., Calandri, M. & Grangetto, M · 2020
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A cascaded learning strategy for robust covid-19 pneumonia chest x-ray screening
Yeh, C.-F · 2020
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Covid-da: Deep domain adaptation from typical pneumonia to covid-19
Zhang, Y · 2020
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