Pages that link to "Item:Q2909266"
From MaRDI portal
The following pages link to MCMC-based image reconstruction with uncertainty quantification (Q2909266):
Displaying 40 items.
- Sampling-based uncertainty quantification in deconvolution of X-ray radiographs (Q491576) (← links)
- Estimating airborne particulate emissions using a finite-volume forward solver coupled with a Bayesian inversion approach (Q1648364) (← links)
- Fitting large-scale structured additive regression models using Krylov subspace methods (Q1658522) (← links)
- An extended Perona-Malik model based on probabilistic models (Q1702003) (← links)
- Gaussian Markov random field priors for inverse problems (Q1951321) (← links)
- A Metropolis-Hastings-within-Gibbs sampler for nonlinear hierarchical-Bayesian inverse problems (Q2001214) (← links)
- Randomized reduced forward models for efficient Metropolis-Hastings MCMC, with application to subsurface fluid flow and capacitance tomography (Q2023287) (← links)
- Localization for MCMC: sampling high-dimensional posterior distributions with local structure (Q2214525) (← links)
- Bayesian inversion for anisotropic hydraulic phase-field fracture (Q2246324) (← links)
- Comparison of statistical inversion with iteratively regularized Gauss Newton method for image reconstruction in electrical impedance tomography (Q2279381) (← links)
- Dealing with boundary artifacts in MCMC-based deconvolution (Q2341896) (← links)
- A Bayesian linear model for the high-dimensional inverse problem of seismic tomography (Q2443172) (← links)
- Efficient MCMC-based image deblurring with Neumann boundary conditions (Q2450064) (← links)
- Randomize-then-optimize for sampling and uncertainty quantification in electrical impedance tomography (Q2801319) (← links)
- Bayesian Abel inversion in quantitative X-ray radiography (Q2810323) (← links)
- Polynomial Accelerated Solutions to a Large Gaussian Model for Imaging Biofilms: In Theory and Finite Precision (Q3121163) (← links)
- Fast Sampling in a Linear-Gaussian Inverse Problem (Q3179326) (← links)
- Bayesian optical flow with uncertainty quantification (Q4582729) (← links)
- Point Spread Function Estimation in X-Ray Imaging with Partially Collapsed Gibbs Sampling (Q4641603) (← links)
- Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems (Q4689166) (← links)
- Inverse Problems Involving PDEs with Applications to Imaging (Q4992697) (← links)
- A statistical reconstruction model for absorption CT with source uncertainty <sup>*</sup> (Q5002577) (← links)
- A Krylov subspace type method for Electrical Impedance Tomography (Q5034832) (← links)
- A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau (Q5044995) (← links)
- Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format (Q5052901) (← links)
- Sampling-based Spotlight SAR Image Reconstruction from Phase History Data for Speckle Reduction and Uncertainty Quantification (Q5052902) (← links)
- Sampling Strategies for Fast Updating of Gaussian Markov Random Fields (Q5055469) (← links)
- Sampling hyperparameters in hierarchical models: Improving on Gibbs for high-dimensional latent fields and large datasets (Q5085048) (← links)
- Empirical Bayesian Inference Using a Support Informed Prior (Q5097846) (← links)
- Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging (Q5109286) (← links)
- MCMC Algorithms for Computational UQ of Nonnegativity Constrained Linear Inverse Problems (Q5112550) (← links)
- Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems (Q5149778) (← links)
- Uncertainty Quantification of Density Reconstruction Using MCMC Method in High-Energy X-ray Radiography (Q5162156) (← links)
- Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems (Q5237188) (← links)
- Sub-aperture SAR imaging with uncertainty quantification (Q6042923) (← links)
- Generalized Sparse Bayesian Learning and Application to Image Reconstruction (Q6109163) (← links)
- Sequential edge detection using joint hierarchical Bayesian learning (Q6111678) (← links)
- Sequential image recovery using joint hierarchical Bayesian learning (Q6159245) (← links)
- Image segmentation using Bayesian inference for convex variant Mumford-Shah variational model (Q6541913) (← links)
- Quantifying predictive uncertainty in damage classification for nondestructive evaluation using Bayesian approximation and deep learning (Q6557656) (← links)
