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wasserstein-autoencoder

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irfixq / Investigate_WAE_in_BrainMRI

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This research project intent is to review and demonstrate a comparability among recent auto-encoder methods by utilizing single architecture and resolution. Each method will be ranked based on selective performance measure in modeling healthy brain and the sensitivity towards domain shift.

deep-neural-networks autoencoder anomaly-detection wasserstein-gan wasserstein-autoencoder autoencoder-neural-network brain-mri-images unsupervised-anomaly-detection
  • Updated Jan 29, 2021
  • Python

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