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Limited amount of labelled training data are a common problem in medical imaging.
Fernando Pérez-García, Rachel Sparks, and Sebastien Ourselin, · 2003
Earlier work this paper cites.
“Auto-encoding variational bayes,” 2014
Diederik P Kingma and Max Welling, · 2014
Earlier work this paper cites.
“Generative adversarial networks,” 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2014
Earlier work this paper cites.
“U-net: Convolutional networks for biomedical image segmentation,”
Olaf Ronneberger, Philipp Fischer, and Thomas Brox, · 2015
Earlier work this paper cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Earlier work this paper cites.
“Disentangled representation learning gan for pose-invariant face recognition,”
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Earlier work this paper cites.
“beta-vae: Learning basic visual concepts with a constrained variational framework,”
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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“How reliable are out-of-distribution generalization methods for medical image segmentation?,” 2021
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