EP-2140: A Bayesian mixture-model for ion identification and filter in particle imaging
Sign Up to like & getrecommendations! Published in 2018 at "Radiotherapy and Oncology"
DOI: 10.1016/s0167-8140(18)32449-6
Abstract: Conclusion SFOV 4D-CBCT images were found to improve visually when subjected to a simple streak correction. Improvements were likewise observed on quantitative measurements of gradients as well as on CBCT HU to CT HU comparisons,… read more here.
Keywords: 2140 bayesian; mixture model; bayesian mixture; model ion ... See more keywords
A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1643345
Abstract: ABSTRACT In this paper, we consider a Bayesian mixture model that allows us to integrate out the weights of the mixture in order to obtain a procedure in which the number of clusters is an… read more here.
Keywords: number clusters; bayesian mixture; data driven; model ... See more keywords