Sequential Model Correction for Nonlinear Inverse Problems

Range-relaxed strategy applied to the Levenberg–Marquardt method with uniformly convex penalization term in Banach spaces

(2022) Fábio Margotti et al.   INVERSE PROBLEMS

On Learned Operator Correction in Inverse Problems

(2021) Sebastian Lunz et al.   SIAM Journal on Imaging Sciences

Learning and correcting non-Gaussian model errors

(2021) Danny Smyl et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Physics-based reconstruction methods for magnetic resonance imaging

(2021) Xiaoqing Wang et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Approximation error method for imaging the human head by electrical impedance tomography*

(2021) V Candiani et al.   INVERSE PROBLEMS

Model reduction in acoustic inversion by artificial neural network

(2021) Janne Koponen et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

A Model-Based Iterative Learning Approach for Diffuse Optical Tomography

(2021) Meghdoot Mozumder et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Modeling of Errors Due to Uncertainties in Ultrasound Sensor Locations in Photoacoustic Tomography

(2020) Teemu Sahlstrom et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Application of diffusion approximation in quantitative photoacoustic tomography in the presence of low-scattering regions

(2020) Niko Hänninen et al.   JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER

Inverse Problems with inexact forward operator: Iterative regularization and application in dynamic imaging

(2020) Stephanie Blanke et al.   INVERSE PROBLEMS

Non-convex primal-dual algorithm for image reconstruction in spectral CT

(2020) Buxin Chen et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Variational regularisation for inverse problems with imperfect forward operators and general noise models

(2020) Leon Bungert et al.   INVERSE PROBLEMS

Solving inverse problems using data-driven models

(2019) Simon Arridge et al.   ACTA NUMERICA

Networks for Nonlinear Diffusion Problems in Imaging

(2019) S. Arridge et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Image Reconstruction with Imperfect Forward Models and Applications in Deblurring

(2018) Yury Korolev et al.   SIAM Journal on Imaging Sciences

Modern regularization methods for inverse problems

(2018) Martin Benning et al.   ACTA NUMERICA

Variational Approach for Restoring Blurred Images with Cauchy Noise

(2015) Federica Sciacchitano et al.   SIAM Journal on Imaging Sciences

A primal–dual hybrid gradient method for nonlinear operators with applications to MRI

(2014) Tuomo Valkonen   INVERSE PROBLEMS

A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems

(2013) Bo Liu et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle–Pock algorithm

(2012) Emil Y Sidky et al.   PHYSICS IN MEDICINE AND BIOLOGY

Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

(2011) Hedy Attouch et al.   MATHEMATICAL PROGRAMMING

Compensation of Modelling Errors Due to Unknown Domain Boundary in Electrical Impedance Tomography

(2010) A Nissinen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

(2010) Antonin Chambolle et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

An approximation error approach for compensating for modelling errors between the radiative transfer equation and the diffusion approximation in diffuse optical tomography

(2009) T Tarvainen et al.   INVERSE PROBLEMS

Fast regularizing sequential subspace optimization in Banach spaces

(2008) F Schöpfer et al.   INVERSE PROBLEMS