Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling.
Dimitra FlouriDavid OwenRosalind AughwaneNada MuftiMagdalena J. SokolskaDavid AtkinsonGiles S. KendallAlan BainbridgeTom VercauterenAnna L. DavidSébastien OurselinAndrew MelbournePublished in: MICCAI (3) (2019)
Keyphrases
- parameter estimation
- data driven
- maximum likelihood
- posterior distribution
- markov random field
- least squares
- model selection
- em algorithm
- statistical models
- bayesian model selection
- expectation maximization
- parameter estimation algorithm
- random fields
- markov chain monte carlo
- approximate inference
- estimation problems
- parameter estimates
- markov fields
- parameters estimation
- metropolis hastings algorithm
- maximum likelihood estimation
- hyperparameters
- parameter values
- model fitting
- maximum likelihood estimates
- position estimation
- bayesian framework
- bayesian networks
- particle physics
- computer vision