cnn-mri

Convolutional neural networks for analysis of cortical anatomy; experiments with different network architectures and input formats + data augmentation

• Data augmentation:

  • angle jitter
    -- TO DO: --
  • label noise
  • training via Contrastive Learning
  • other curricula / scheduled learning

• Architectures:

  • transfer learning with ResNet
  • self-attention layers in the style of SAGAN
  • VAE-like image-reconstruction error
    -- TO DO: --
  • GAN?
  • Spline n.n. final layers?
  • Geometric deep learning (e.g., ConvNet with discrete Riemannian metric)