GAN-based Data Augmentation for Chest X-ray Classification

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I. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, B. Xu, David Warde-Farley, S. Ozair, Aaron C. Courville, and Yoshua Bengio. 2014 · 2014

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BAGAN: Data Augmentation with Balancing GAN

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G. Mariani, F. Scheidegger, R. Istrate, C. Bekas, and A. Malossi. 2018 · 2018

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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

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Breaking Medical Data Sharing Boundaries by Employing Artificial Radiographs

Tianyu Han, Sven Nebelung, Christoph Haarburger, Nicolas Horst, Sebastian Reinartz, Dorit Merhof, Fabian Kiessling, Volkmar Schulz, and Daniel Truhn. 2019 · 2019

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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. In AAAI

Jeremy A. Irvin, Pranav Rajpurkar, M. Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, H. Marklund, Behzad Haghgoo, Robyn L. Ball, K. Shpanskaya, J. Seekins, D. Mong, S. Halabi, J. Sandberg, R. Jones, D. Larson, C. Langlotz, B. Patel, M. Lungren, and A. Ng. 2019 · 2019

Cited alongside, same era.

Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels

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Hieu H. Pham, Tung T. Le, Dat Q. Tran, D. Ngo, and H. Nguyen. 2019 · 2019

Cited alongside, same era.

Skin Lesion Classification Using GAN based Data Augmentation

Haroon Rashid, M. Tanveer, and H. Khan. 2019 · 2019

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Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective

Original

A. B. Qasim, Ivan Ezhov, S. Shit, Oliver Schoppe, Johannes C. Paetzold, A. Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, and B. Menze. 2020 · 2020

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Overfitting in adversarially robust deep learning. In Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 119) , Hal Daumé III and Aarti Singh (Eds.). PMLR, 8093–8104

Leslie Rice, Eric Wong, and Zico Kolter. 2020 · 2020

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A Survey on Generative Adversarial Networks for imbalance problems in computer vision tasks

Vignesh Sampath, I. Maurtua, Juan José Aguilar Martín, and Aitor Gutierrez. 2020 · 2020

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Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Martin G Ting DSW Karthikesalingam A King D Ashrafian H Darzi A. Aggarwal R, Sounderajah V. 2021 · 2021

Closest in time.