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DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping.

Steffen BollmannKasper Gade Bøtker RasmussenMads KristensenRasmus Guldhammer BlendalLasse Riis ØstergaardMaciej PlocharskiKieran O'BrienChristian LangkammerAndrew L. JankeMarkus Barth
Published in: NeuroImage (2019)
Keyphrases
  • deep learning
  • unsupervised learning
  • unsupervised feature learning
  • mental models
  • machine learning
  • weakly supervised
  • data sets
  • higher order
  • decision making
  • training set
  • deep architectures