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added medical imaging gans
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@@ -51,8 +51,10 @@ via 3D Generative-Adversarial Modeling, [[paper]](http://3dgan.csail.mit.edu/pap
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+ Semantic Image Inpainting with Perceptual and Contextual Losses, [[paper]](https://arxiv.org/abs/1607.07539), [[github]](https://github.com/bamos/dcgan-completion.tensorflow)
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+ Generative Face Completion, [[paper]](https://drive.google.com/file/d/0B8_MZ8a8aoSeenVrYkpCdnFRVms/edit), [[github]](https://github.com/Yijunmaverick/GenerativeFaceCompletion)
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### Image Segmentation
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### Medical Image Segmentation
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+ Vox2Vox: 3D-GAN for Brain Tumor Segmentation, [[paper]](https://arxiv.org/abs/2003.13653), [[github]](https://github.com/enochkan/vox2vox)
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+ SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation, [[paper]](https://arxiv.org/abs/1706.01805)
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+ Generative Adversarial Neural Networks for Pigmented and Non-Pigmented Skin Lesions Detection in Clinical Images, [[paper]](https://ieeexplore.ieee.org/document/7968584/)
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## Deepfakes
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