This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
We present a novel approach to change detection between two brain MRI scans (reference and target.) The proposed method uses a single modality to find subtle changes; and does no...