A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity.
M. Faizan AhmadJames K. MurphySimon J. GodsillDeniz VatanseverEmmanuel A. StamatakisPublished in: ICASSP (2016)
Keyphrases
- gibbs sampler
- brain connectivity
- functional connectivity
- posterior distribution
- bayesian inference
- random fields
- markov chain
- markov chain monte carlo
- gibbs sampling
- probability distribution
- diffusion tensor imaging
- parameter estimation
- latent variables
- em algorithm
- brain regions
- maximum a posteriori
- hyperparameters
- bayesian framework
- functional magnetic resonance imaging
- machine learning
- maximum likelihood
- markov random field
- edge detection
- feature space
- support vector
- similarity measure
- image processing
- computer vision