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Increasing the reliability of data analysis of functional magnetic resonance imaging by applying a new blockwise permutation method.

Daniela AdolfSnezhana WestonSebastian BaeckeMichael LuchtmannJohannes BernardingSiegfried Kropf
Published in: Frontiers Neuroinformatics (2014)
Keyphrases
  • data analysis
  • high quality
  • image data
  • unsupervised learning
  • clustering method
  • machine learning
  • image processing
  • pattern classification
  • correlation analysis