vPET-ABC: Voxel-wise Approximate Bayesian Inference for Parametric Imaging of Neurotransmitter Release
Author:
Affiliation:
1. UNSW Sydney,School of Mathematics and Statistics,Australia,2052
2. University of Sydney,Sydney School of Health Sciences,Australia,2006
3. University of Sydney,Brain and Mind Centre,Australia,2006
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9875398/9875424/09875446.pdf?arnumber=9875446
Reference6 articles.
1. Controlling the false positive rate for lp-ntPET: A correction to goodness of fit metrics for ''effective'' number of parameters;liu;The Journal of Nuclear Medicine,2019
2. Voxelwise lp‐ntPET for detecting localized, transient dopamine release of unknown timing: Sensitivity Analysis and Application to Cigarette Smoking in the PET Scanner
3. Direct Estimation of Voxel-Wise Neurotransmitter Response Maps From Dynamic PET Data
4. PET-ABC: fully Bayesian likelihood-free inference for kinetic models
5. Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model
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