Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences
We proposed a nonparametric Bayesian model based on variational Bayes algorithm to estimate the response functions in dynamic medical imaging. In dynamic renal scintigraphy, the impulse response or retention functions are rather complicated and finding a suitable parametric form is problematic. In t...
Main Author: | Bowei Shan |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2016/4851401 |
Similar Items
-
Retracted: Estimation of Response Functions Based on Variational Bayes Algorithm in Dynamic Images Sequences
by: BioMed Research International
Published: (2017-01-01) -
Estimating Simultaneous Equation Models through an Entropy-Based Incremental Variational Bayes Learning Algorithm
by: Rocío Hernández-Sanjaime, et al.
Published: (2021-03-01) -
Ensemble-based estimation of sea-ice volume variations in the Baffin Bay
by: C. Min, et al.
Published: (2021-01-01) -
Linear response methods for accurate covariance estimates from mean field variational bayes
by: Giordano, Ryan, et al.
Published: (2017) -
Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm
by: Marc Lebrun, et al.
Published: (2013-06-01)