Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography
Author:
Affiliation:
1. Gordon Center for Medical Imaging, Radiology Department Massachusetts General Hospital Boston Massachusetts USA
2. Radiology Department Harvard Medical School Boston Massachusetts USA
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16078
Reference18 articles.
1. Principles of Statistical Inference
2. Monte Carlo sampling methods using Markov chains and their applications
3. PET-ABC: fully Bayesian likelihood-free inference for kinetic models
4. ArdizzoneL KruseJ WirkertS et al.Analyzing inverse problems with invertible neural networks.International Conference on Learning Representations. New Orleans LA.2019.
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