Pages that link to "Item:Q3376712"

The following pages link to Approximation errors and model reduction with an application in optical diffusion tomography (Q3376712):

Displaying 50 items.

• Approximate marginalization of absorption and scattering in fluorescence diffuse optical tomography (Q254804) (← links)
• Compensation of domain modelling errors in the inverse source problem of the Poisson equation: application in electroencephalographic imaging (Q284924) (← links)
• Expectation propagation for nonlinear inverse problems -- with an application to electrical impedance tomography (Q348728) (← links)
• Approximate marginalization of unknown scattering in quantitative photoacoustic tomography (Q479892) (← links)
• Model reduction in state identification problems with an application to determination of thermal parameters (Q1012238) (← links)
• Estimating hemodynamic stimulus and blood vessel compliance from cerebral blood flow data (Q1716831) (← links)
• Damage identification under uncertain mass density distributions (Q2022028) (← links)
• Computed tomography reconstruction with uncertain view angles by iteratively updated model discrepancy (Q2033298) (← links)
• Learning and correcting non-Gaussian model errors (Q2128493) (← links)
• Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems (Q2214560) (← links)
• Less is often more: applied inverse problems using \(hp\)-forward models (Q2222637) (← links)
• Iterative construction of Gaussian process surrogate models for Bayesian inference (Q2301102) (← links)
• A wavelet multi-scale method for the inverse problem of diffuse optical tomography (Q2352315) (← links)
• Sparse variational Bayesian approximations for nonlinear inverse problems: applications in nonlinear elastography (Q2414583) (← links)
• Approximation errors and truncation of computational domains with application to geophysical tomography (Q2642332) (← links)
• Edge-promoting reconstruction of absorption and diffusivity in optical tomography (Q2786443) (← links)
• Optical Imaging (Q2789818) (← links)
• Statistical Methods in Imaging (Q2789825) (← links)
• A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
• A stochastic simulation method for uncertainty quantification in the linearized inverse conductivity problem (Q2894981) (← links)
• Reduced forward models in electrical impedance tomography with probe geometry (Q2949459) (← links)
• Estimation of fixed charge density and diffusivity profiles in cartilage using contrast enhanced computer tomography (Q2952469) (← links)
• Dynamic estimation of the modeling error statistics in Diffuse Optical Tomography (Q2974028) (← links)
• An EM-like reconstruction method for diffuse optical tomography (Q3162955) (← links)
• The radiative transport equation in flatland with separation of variables (Q3185706) (← links)
• Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293) (← links)
• Posterior consistency for Gaussian process approximations of Bayesian posterior distributions (Q4600705) (← links)
• Correction of Model Reduction Errors in Simulations (Q4603501) (← links)
• Iterative updating of model error for Bayesian inversion (Q4607829) (← links)
• Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field (Q4682392) (← links)
• A Bayesian Numerical Homogenization Method for Elliptic Multiscale Inverse Problems (Q4960996) (← links)
• (Q4969066) (← links)
• Computed tomography with view angle estimation using uncertainty quantification (Q4993896) (← links)
• A Bayesian filtering approach to layer stripping for electrical impedance tomography (Q5000611) (← links)
• (Q5061863) (← links)
• An Acceleration Strategy for Randomize-Then-Optimize Sampling Via Deep Neural Networks (Q5079536) (← links)
• Representation and reconstruction of covariance operators in linear inverse problems (Q5117389) (← links)
• Bayesian Mesh Adaptation for Estimating Distributed Parameters (Q5147977) (← links)
• A Bayesian Approach for Energy-Based Estimation of Acoustic Aberrations in High Intensity Focused Ultrasound Treatment (Q5161430) (← links)
• A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials (Q5228005) (← links)
• Stochastic Collocation Algorithms Using $l_1$-Minimization for Bayesian Solution of Inverse Problems (Q5254808) (← links)
• Non‐linear model reduction for uncertainty quantification in large‐scale inverse problems (Q5306460) (← links)
• Discretization error in dynamical inverse problems: one-dimensional model case (Q5421229) (← links)
• Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models (Q5741184) (← links)
• On Learned Operator Correction in Inverse Problems (Q5860277) (← links)
• Uniqueness and numerical inversion in the time-domain fluorescence diffuse optical tomography (Q5867673) (← links)
• On global normal linear approximations for nonlinear Bayesian inverse problems (Q5886385) (← links)
• Reconstruction of thermal conductivity and heat capacity using a tomographic approach (Q5920243) (← links)
• Inverse radiative transfer with goal-oriented hp-adaptive mesh refinement: adaptive-mesh inversion (Q6050815) (← links)
• Sequential Model Correction for Nonlinear Inverse Problems (Q6144056) (← links)