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Generative adversarial networks have been successfully applied to inpainting in natural images.
Texture synthesis by non-parametric sampling
A.A. Efros and T.K. Leung · 1999
Earlier work this paper cites.
Image inpainting
M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester · 2000
Earlier work this paper cites.
C.W. Tyler and C. Chen · 2000
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Scene completion using millions of photographs
James Hays and Alexei A Efros · 2007
Earlier work this paper cites.
Radiologic and nuclear medicine studies in the United States and worldwide: frequency, radiation dose, and comparison with other radiation sources–1950-2007
F.A. Mettler, M. Bhargavan, K. Faulkner, D.B. Gilley, J.E. Gray, G.S. Ibbott, J.A. Lipoti, M. Mahesh, J.L. McCrohan, M.G. Stabin, B.R. Thomadsen, and T.T. Yoshizumi · 2009
Earlier work this paper cites.
PatchMatch: A randomized correspondence algorithm for structural image editing
C. Barnes, E. Shechtman, A. Finkelstein, and D.B. Goldman · 2009
Earlier work this paper cites.
Simulation of nodules and diffuse infiltrates in chest radiographs using CT templates
G.J.S. Litjens, L. Hogeweg, A.M.R. Schilham, P.A. de Jong, M.A. Viergever, and B. van Ginneken · 2010
Earlier work this paper cites.
Foreign object detection and removal to improve automated analysis of chest radiographs
L. Hogeweg, C.I. Sánchez, J. Melendez, P. Maduskar, A. Story, A. Hayward, and B. van Ginneken · 2013
Earlier work this paper cites.
Generative Adversarial Networks
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S.Ozair, A. Courville, and Y. Bengio · 2014
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Context encoders: Feature learning by inpainting
D. Pathak, P. Krähenbühl, J. Donahue, T. Darrell, and A.A. Efros · 2016
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 · 2016
Cited alongside, same era.
SCAN: structure correcting adversarial network for chest x-rays organ segmentation
W. Dai, J. Doyle, X. Liang, H. Zhang, N. Dong, Y. Li, and E.P. Xing · 2017
Later among the works it cites.
Semantic image inpainting with deep generative models
R.A. Yeh, C. Chen, T.Y. Lim, A.G. Schwing, M. Hasegawa-Johnson, and M.N. Do · 2017
Later among the works it cites.
Globally and locally consistent image completion
S. Iizuka, E. Simo-Serra, and H. Ishikawa · 2017
Later among the works it cites.
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery
T. Schlegl, P. Seeböck, S.M. Waldstein, U. Schmidt-Erfurth, and G. Langs · 2017
Later among the works it cites.
Automatic differentiation in PyTorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Later among the works it cites.
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TensorFlow: A system for large-scale machine learning
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, S. Moore, D.G. Murray, B. Steiner, P. Tucker, V. Vasudevan, P. Warden, M. Wicke, Y. Yu, and X. Zheng · 2016
Cited alongside, same era.
Unsupervised histopathology image synthesis
L. Hou, A. Agarwal, D. Samaras, T.M. Kurç, R.R. Gupta, and J.H. Saltz · 2017
Cited alongside, same era.
Generative adversarial networks for noise reduction in low-dose CT
J. M. Wolterink, T. Leiner, M. A. Viergever, and I. Išgum · 2017
Cited alongside, same era.
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T.S. Huang · 2018
Closest in time.
Image Completion with Deep Learning in TensorFlow
B. Amos · 2018
Closest in time.