Pages that link to "Item:Q3173743"

The following pages link to RECONSTRUCTION OF DOMAIN BOUNDARY AND CONDUCTIVITY IN ELECTRICAL IMPEDANCE TOMOGRAPHY USING THE APPROXIMATION ERROR APPROACH (Q3173743):

Displaying 33 items.

• Artificial boundary conditions and domain truncation in electrical impedance tomography. II: Stochastic extension of the boundary map (Q256056) (← links)
• Application of stochastic Galerkin FEM to the complete electrode model of electrical impedance tomography (Q349109) (← links)
• Modelling of an oesophageal electrode for cardiac function tomography (Q428272) (← links)
• Asymptotic and boundary integral formulae for the computational reconstruction of small conductivity imperfections (Q885797) (← links)
• Recovery from errors due to domain truncation in magnetic particle imaging: approximation error modeling approach (Q1799655) (← links)
• Damage identification under uncertain mass density distributions (Q2022028) (← links)
• Computed tomography reconstruction with uncertain view angles by iteratively updated model discrepancy (Q2033298) (← links)
• Estimation of conductivity changes in a region of interest with electrical impedance tomography (Q2254766) (← links)
• Parameter estimation with the Markov chain Monte Carlo method aided by evolutionary neural networks in a water hammer model (Q2686514) (← links)
• Simultaneous reconstruction of outer boundary shape and admittivity distribution in electrical impedance tomography (Q2873193) (← links)
• Reduced forward models in electrical impedance tomography with probe geometry (Q2949459) (← links)
• Polynomial Collocation for Handling an Inaccurately Known Measurement Configuration in Electrical Impedance Tomography (Q2960393) (← links)
• Compensation for geometric modeling errors by positioning of electrodes in electrical impedance tomography (Q2977548) (← links)
• Inclusion boundary reconstruction and sensitivity analysis in electrical impedance tomography (Q3122019) (← links)
• Bayesian Analysis of ODEs: Solver Optimal Accuracy and Bayes Factors (Q3179310) (← links)
• APPROXIMATING IDEALIZED BOUNDARY DATA OF ELECTRIC IMPEDANCE TOMOGRAPHY BY ELECTRODE MEASUREMENTS (Q3394257) (← links)
• Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293) (← links)
• Smoothened Complete Electrode Model (Q4602352) (← links)
• Correction of Model Reduction Errors in Simulations (Q4603501) (← links)
• Thermal Tomography with Unknown Boundary (Q4641597) (← links)
• Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field (Q4682392) (← links)
• Quantification of measurement error effects on conductivity reconstruction in electrical impedance tomography (Q4991543) (← links)
• Computed tomography with view angle estimation using uncertainty quantification (Q4993896) (← links)
• Approximation error method for imaging the human head by electrical impedance tomography* (Q5014479) (← links)
• Approximation error model (AEM) approach with hybrid methods in the forward-inverse analysis of the transesterification reaction in 3D-microreactors (Q5036765) (← links)
• Contact Adapting Electrode Model for Electrical Impedance Tomography (Q5065491) (← links)
• Bayesian Mesh Adaptation for Estimating Distributed Parameters (Q5147977) (← links)
• A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials (Q5228005) (← links)
• Computational Framework for Applying Electrical Impedance Tomography to Head Imaging (Q5238757) (← links)
• Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models (Q5741184) (← links)
• Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography (Q5860370) (← links)
• Error control of the numerical posterior with Bayes factors in Bayesian uncertainty quantification (Q6121680) (← links)
• Modeling errors due to Timoshenko approximation in damage identification (Q6554530) (← links)