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Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed Tractography.

Erick Hernandez-GutierrezAlonso Ramirez-ManzanaresJosé L. MarroquínMario Ocampo-PinedaAlessandro Daducci
Published in: ISBI (2019)
Keyphrases
  • probabilistic model
  • general purpose
  • lightweight
  • theoretical framework
  • data sets
  • neural network
  • database systems
  • bayesian networks
  • computationally efficient
  • main contribution
  • dt mri
  • graphics processors