Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain

Michael Osadebey, Nizar Bouguila, Douglas Arnold. Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain. Int. J. Imaging Systems and Technology, 24(3):224-238, 2014. [doi]

@article{OsadebeyBA14,
  title = {Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain},
  author = {Michael Osadebey and Nizar Bouguila and Douglas Arnold},
  year = {2014},
  doi = {10.1002/ima.22098},
  url = {http://dx.doi.org/10.1002/ima.22098},
  researchr = {https://researchr.org/publication/OsadebeyBA14},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Imaging Systems and Technology},
  volume = {24},
  number = {3},
  pages = {224-238},
}