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Well-labeled datasets of chest radiographs (CXRs) are difficult to acquire due to the high cost of annotation.
Improved baselines with momentum contrastive learning
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Earlier work this paper cites.
Covid-19 image data collection: Prospective predictions are the future
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Earlier work this paper cites.
Bootstrap your own latent: A new approach to self-supervised learning
Grill, J.-B., Strub, F., Altché, F., Tallec, C., Richemond, P. H., Buchatskaya, E., Doersch, C., Pires, B. A., Guo, Z. D., Azar, M. G. et al. (2020) · 2006
Earlier work this paper cites.
Bae, J., Kapse, S., Singh, G., Phatak, T., Green, J., Madan, N., & Prasanna, P. (2020) · 2007
Earlier work this paper cites.
Swapping autoencoder for deep image manipulation
Park, T., Zhu, J.-Y., Wang, O., Lu, J., Shechtman, E., Efros, A. A., & Zhang, R. (2020b) · 2007
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Gutmann, M., & Hyvärinen, A. (2010) · 2010
Earlier work this paper cites.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014) · 2014
Earlier work this paper cites.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017
Earlier work this paper cites.
Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
Rajpurkar, P., Irvin, J., Zhu, K., Yang, B., Mehta, H., Duan, T., Ding, D., Bagul, A., Langlotz, C., Shpanskaya, K. et al. (2017) · 2017
Earlier work this paper cites.
Grad-cam: Visual explanations from deep networks via gradient-based localization
Selvaraju, R. R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., & Batra, D. (2017) · 2017
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mixup: Beyond empirical risk minimization
Zhang, H., Cisse, M., Dauphin, Y. N., & Lopez-Paz, D. (2017) · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
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Multimodal unsupervised image-to-image translation
Huang, X., Liu, M.-Y., Belongie, S., & Kautz, J. (2018) · 2018
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Chestnet: A deep neural network for classification of thoracic diseases on chest radiography
Wang, H., & Xia, Y. (2018) · 2018
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Momentum contrast for unsupervised visual representation learning
He, K., Fan, H., Wu, Y., Xie, S., & Girshick, R. (2020) · 2020
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Review of Chest Radiograph Findings of COVID-19 Pneumonia and Suggested Reporting Language
Litmanovich, D. E., Chung, M., Kirkbride, R. R., Kicska, G., & Kanne, J. P. (2020) · 2020
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AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
Chassagnon, G., Vakalopoulou, M., Battistella, E., Christodoulidis, S., Hoang-Thi, T.-N., Dangeard, S., Deutsch, E., Andre, F., Guillo, E., Halm, N., El Hajj, S., Bompard, F., Neveu, S., Hani, C., Saab, I., Campredon, A., Koulakian, H., Bennani, S., Freche, G., Barat, M., Lombard, A., Fournier, L., Monnier, H., Grand, T., Gregory, J., Nguyen, Y., Khalil, A., Mahdjoub, E., Brillet, P.-Y., Tran Ba, S., Bousson, V., Mekki, A., Carlier, R.-Y., Revel, M.-P., & Paragios, N. (2021) · 2021
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Exploring simple siamese representation learning
Chen, X., & He, K. (2021) · 2021
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Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning
Hu, Q., Drukker, K., & Giger, M. L. (2021) · 2021
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Unsupervised feature learning via non-parametric instance discrimination
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Few-shot unsupervised image-to-image translation
Liu, M.-Y., Huang, X., Mallya, A., Karras, T., Aila, T., Lehtinen, J., & Kautz, J. (2019) · 2019
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Singan: Learning a generative model from a single natural image
Rott Shaham, T., Dekel, T., & Michaeli, T. (2019) · 2019
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Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients
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Experiment tracking with weights and biases
Biewald, L. (2020) · 2020
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A simple framework for contrastive learning of visual representations
Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020a)
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Contrastive learning for unpaired image-to-image translation
Park, T., Efros, A. A., Zhang, R., & Zhu, J.-Y. (2020a)
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Predicting covid-19 lung infiltrate progression on chest radiographs using spatio-temporal lstm based encoder-decoder network
Konwer, A., Bae, J., Singh, G., Gattu, R., Ali, S., Green, J., Phatak, T., Gupta, A., Chen, C., Saltz, J. et al. (2021) · 2021
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Li, Z., Zhao, W., Shi, F., Qi, L., Xie, X., Wei, Y., Ding, Z., Gao, Y., Wu, S., Liu, J., Shi, Y., & Shen, D. (2021) · 2021
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Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
López-Cabrera, J. D., Orozco-Morales, R., Portal-Diaz, J. A., Lovelle-Enríquez, O., & Pérez-Díaz, M. (2021) · 2021
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Understanding self-supervised learning dynamics without contrastive pairs
Tian, Y., Chen, X., & Ganguli, S. (2021) · 2021
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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., Peng, Y., Lu, L., Lu, Z., Bagheri, M., & Summers, R. M. (2017) · 2097
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