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Multi-scale V-net architecture with deep feature CRF layers for brain extraction.

Jong Sung ParkShreyas FadnavisEleftherios Garyfallidis
Published in: Communications medicine (2024)
Ultimately, our model provides a reliable way of accurately reducing segmentation errors in complex multi-tissue interfacing areas of the brain. We expect our method, which is publicly available and open-source, to be beneficial to a wide range of researchers.
Keyphrases
  • resting state
  • white matter
  • deep learning
  • functional connectivity
  • machine learning
  • cerebral ischemia
  • emergency department
  • multiple sclerosis