Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE

  title={Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE},
  author={Anna Volokitin and E. Erdil and Neerav Karani and K. C. Tezcan and X. Chen and L. Gool and Ender Konukoglu},
  • Anna Volokitin, E. Erdil, +4 authors Ender Konukoglu
  • Published in MICCAI 2020
  • Computer Science, Engineering
  • Probabilistic modelling has been an essential tool in medical image analysis, especially for analyzing brain Magnetic Resonance Images (MRI). Recent deep learning techniques for estimating highdimensional distributions, in particular Variational Autoencoders (VAEs), opened up new avenues for probabilistic modeling. Modelling of volumetric data has remained a challenge, however, because constraints on available computation and training data make it difficult effectively leverage VAEs, which are… CONTINUE READING
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