Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence.
Anna AndrleNando FarchminPaul HagemannSebastian HeidenreichVictor SoltwischGabriele SteidlPublished in: CoRR (2021)
Keyphrases
- x ray
- projection images
- tomographic images
- markov chain monte carlo
- posterior distribution
- cone beam
- discrete tomography
- three dimensional
- posterior probability
- computer tomography
- filtered back projection
- x ray images
- ct scans
- medical imaging
- fluoroscopic images
- radon transform
- digital x ray images
- parameter estimation
- intraoperative
- bayesian framework
- image analysis
- image reconstruction
- electron microscopy
- transmission electron microscopy
- electron beam
- proximal femur
- distortion correction
- fan beam
- data association
- reconstruction process
- image processing
- high resolution
- medical images
- multi view
- expectation maximization
- tomographic reconstruction
- maximum a posteriori
- noise level