Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence.
Anna AndrleNando FarchminPaul HagemannSebastian HeidenreichVictor SoltwischGabriele SteidlPublished in: SSVM (2021)
Keyphrases
- x ray
- tomographic images
- projection images
- markov chain monte carlo
- posterior distribution
- discrete tomography
- cone beam
- three dimensional
- posterior probability
- computer tomography
- medical imaging
- x ray images
- digital x ray images
- intraoperative
- parameter estimation
- filtered back projection
- fluoroscopic images
- bayesian framework
- metal oxide
- transmission electron microscopy
- generative model
- distortion correction
- ct scans
- maximum a posteriori
- image analysis
- tomographic reconstruction
- electron microscopy
- image reconstruction
- fan beam
- proximal femur
- data association
- reconstruction method
- guide wire
- markov random field
- probabilistic model
- high resolution