Inverse Problems

Papers
(The TQCC of Inverse Problems is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Nonlocal robust tensor recovery with nonconvex regularization *31
Inverse problems for generalized quasi-variational inequalities with application to elliptic mixed boundary value systems30
Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review30
Higher-order total variation approaches and generalisations27
On a local geometric property of the generalized elastic transmission eigenfunctions and application25
Learning regularization parameters of inverse problems via deep neural networks22
High resolution 3D ultrasonic breast imaging by time-domain full waveform inversion21
Backward problems in time for fractional diffusion-wave equation21
Simultaneous inversion of the potential term and the fractional orders in a multi-term time-fractional diffusion equation20
Stability for inverse source problems by Carleman estimates20
Adaptive regularisation for ensemble Kalman inversion20
Refraction-corrected ray-based inversion for three-dimensional ultrasound tomography of the breast19
Stabilizing Invertible Neural Networks Using Mixture Models19
Task adapted reconstruction for inverse problems18
Deep neural network expression of posterior expectations in Bayesian PDE inversion18
Uniqueness in determining fractional orders of derivatives and initial values17
Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations16
Nonlocal low-rank regularized two-phase approach for mixed noise removal15
A direct method for solving inverse Sturm–Liouville problems*14
Inverse problems for mean field games14
Efficient derivative-free Bayesian inference for large-scale inverse problems13
A level-set approach based on reaction–diffusion equation applied to inversion problems in acoustic wave propagation13
Simultaneous recoveries for semilinear parabolic systems13
Monotonicity Principle in tomography of nonlinear conducting materials *13
A new interpretation of (Tikhonov) regularization13
A generalized quasi-boundary value method for recovering a source in a fractional diffusion-wave equation12
A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction12
Recovery of coefficients for a weighted p-Laplacian perturbed by a linear second order term12
Data-free likelihood-informed dimension reduction of Bayesian inverse problems12
Deep synthesis network for regularizing inverse problems12
Inverse moving source problem for time-fractional evolution equations: determination of profiles11
Reconstructing the image scanning microscopy dataset: an inverse problem11
Data driven regularization by projection11
Integrable nonlocal derivative nonlinear Schrödinger equations11
Equivariant neural networks for inverse problems11
A second order Calderón’s method with a correction term and a priori information11
Minimizing L 1 over L 2 norms on the gradient11
Stochastic asymptotical regularization for linear inverse problems10
A practical method for recovering Sturm–Liouville problems from the Weyl function10
Optimal-order convergence of Nesterov acceleration for linear ill-posed problems*10
Binary sparse signal recovery with binary matching pursuit *10
Γ -convergence of Onsager–Machlup functionals: I. With applications to maximum a posteriori estimation in Bayesian inverse problems10
Joint reconstruction of initial pressure distribution and spatial distribution of acoustic properties of elastic media with application to transcranial photoacoustic tomography10
On Calderón’s inverse inclusion problem with smooth shapes by a single partial boundary measurement10
PatchNR: learning from very few images by patch normalizing flow regularization10
An inverse potential problem for subdiffusion: stability and reconstruction*10
Processing the 2D and 3D Fresnel experimental databases via topological derivative methods10
Carleman estimates and the contraction principle for an inverse source problem for nonlinear hyperbolic equations10
Unique continuation from a generalized impedance edge-corner for Maxwell’s system and applications to inverse problems9
Ray-based inversion accounting for scattering for biomedical ultrasound tomography9
An inner–outer iterative method for edge preservation in image restoration and reconstruction *9
A deterministic-statistical approach to reconstruct moving sources using sparse partial data9
Bayesian particle filter algorithm for learning epidemic dynamics9
A transmutation operator method for solving the inverse quantum scattering problem *9
Recovering the potential and order in one-dimensional time-fractional diffusion with unknown initial condition and source *9
Some inverse problems for wave equations with fractional derivative attenuation9
Un-supervised learning for blind image deconvolution via Monte-Carlo sampling9
Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations9
A mathematical theory of computational resolution limit in multi-dimensional spaces *9
Imaging of 3D objects with experimental data using orthogonality sampling methods9
Shape reconstruction in linear elasticity: standard and linearized monotonicity method9
Convergence of proximal gradient algorithm in the presence of adjoint mismatch *9
A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem9
Machine learning enhanced electrical impedance tomography for 2D materials9
Inverse moving point source problem for the wave equation8
Optimal transport in full-waveform inversion: analysis and practice of the multidimensional Kantorovich–Rubinstein norm8
Joint super-resolution image reconstruction and parameter identification in imaging operator: analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging8
Deep learning methods for partial differential equations and related parameter identification problems8
A fast homotopy algorithm for gridless sparse recovery8
The Dantzig selector: recovery of signal via ℓ 1 − αℓ 2 minimization8
Edge adaptive hybrid regularization model for image deblurring8
Sequentially optimized projections in x-ray imaging *8
A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising8
The monotonicity principle for magnetic induction tomography8
On a three-dimensional Compton scattering tomography system with fixed source8
A globally convergent algorithm for a class of gradient compounded non-Lipschitz models applied to non-additive noise removal8
Inversion formulae for ray transforms in vector and tensor tomography8
Lippmann–Schwinger–Lanczos algorithm for inverse scattering problems8
Uniqueness of orders and parameters in multi-term time-fractional diffusion equations by short-time behavior8
A new nonconvex low-rank tensor approximation method with applications to hyperspectral images denoising8
A probabilistic approach to tomography and adjoint state methods, with an application to full waveform inversion in medical ultrasound8
Approximation error method for imaging the human head by electrical impedance tomography*8
Structure analysis of direct sampling method in 3D electromagnetic inverse problem: near- and far-field configuration8
Adaptively sketched Bregman projection methods for linear systems7
A variational non-linear constrained model for the inversion of FDEM data*7
A mathematical framework for nonlinear wavefront reconstruction in adaptive optics systems with Fourier-type wavefront sensing7
A fast image reconstruction method for planar objects CT inspired by differentiation property of Fourier transform (DPFT)7
Reduced order model approach for imaging with waves7
Sparsity-based nonlinear reconstruction of optical parameters in two-photon photoacoustic computed tomography7
Hölder-logarithmic stability in Fourier synthesis7
Variational regularisation for inverse problems with imperfect forward operators and general noise models7
Nonstationary iterated Tikhonov regularization: convergence analysis via Hölder stability7
Recovering a quasilinear conductivity from boundary measurements7
Feature augmentation for the inversion of the Fourier transform with limited data7
On regularization via frame decompositions with applications in tomography7
Near-field linear sampling method for axisymmetric eddy current tomography7
An inverse problem for generalized Kelvin–Voigt equation with p-Laplacian and damping term7
Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion7
Scanning electron diffraction tomography of strain7
Robust signal recovery for ℓ 1–2 minimization via prior support information7
Solving an inverse heat convection problem with an implicit forward operator by using a projected quasi-Newton method7
Imaging conductivity from current density magnitude using neural networks*7
A stochastic alternating direction method of multipliers for non-smooth and non-convex optimization7
Regularization of the factorization method applied to diffuse optical tomography7
Γ-convergence of Onsager–Machlup functionals: II. Infinite product measures on Banach spaces6
Rethinking data-driven point spread function modeling with a differentiable optical model6
Laboratory application of sampling approaches to inverse scattering6
Error analysis for filtered back projection reconstructions in Besov spaces6
Ultrasound modulated bioluminescence tomography with a single optical measurement6
A modified discrepancy principle to attain optimal convergence rates under unknown noise6
Unsupervised knowledge-transfer for learned image reconstruction*6
Stable determination of coefficients in semilinear parabolic system with dynamic boundary conditions6
Phaseless inverse scattering with background information6
Unique recovery of unknown spatial load in damped Euler–Bernoulli beam equation from final time measured output6
Robust kernel-based distribution regression6
Stability in inverse problem of an elastic plate with a curved middle surface6
Analysis of resolution of tomographic-type reconstruction from discrete data for a class of distributions6
Maximum a posteriori estimators in ℓp are well-defined for diagonal Gaussian priors6
Estimation of microtexture region orientation distribution functions using eddy current data6
Mumford–Shah regularization in electrical impedance tomography with complete electrode model6
A projective two-point gradient Kaczmarz iteration for nonlinear ill-posed problems6
Localized ensemble Kalman inversion6
A noniterative reconstruction method for solving a time-fractional inverse source problem from partial boundary measurements6
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems5
3D Compton scattering imaging with multiple scattering: analysis by FIO and contour reconstruction5
Uniformly convex neural networks and non-stationary iterated network Tikhonov (iNETT) method5
A local in time existence and uniqueness result of an inverse problem for the Kelvin-Voigt fluids5
Imaging of buried obstacles in a two-layered medium with phaseless far-field data5
Stability of an inverse source problem for the damped biharmonic plate equation5
Fixed-distance multipoint formulas for the scattering amplitude from phaseless measurements5
Revisiting the probe and enclosure methods5
Frame decompositions of bounded linear operators in Hilbert spaces with applications in tomography5
Parameter estimation in fluid flow models from aliased velocity measurements5
Stochastic EM methods with variance reduction for penalised PET reconstructions5
Convergence analysis of inexact Newton–Landweber iteration under Hölder stability5
Spurious minimizers in non uniform Fourier sampling optimization5
A novel quantitative inverse scattering scheme using interior resonant modes5
Graph-based prior and forward models for inverse problems on manifolds with boundaries5
Analysis of the inverse Born series: an approach through geometric function theory5
Convergence study and regularizing property of a modified Robin–Robin method for the Cauchy problem in linear elasticity5
Increasing stability in the linearized inverse Schrödinger potential problem with power type nonlinearities*5
Material-separating regularizer for multi-energy x-ray tomography5
Blood and breath alcohol concentration from transdermal alcohol biosensor data: estimation and uncertainty quantification via forward and inverse filtering for a covariate-dependent, physics-informed,5
An inverse random source problem for the one-dimensional Helmholtz equation with attenuation5
Factorization method with one plane wave: from model-driven and data-driven perspectives5
A source reconstruction method in two dimensional radiative transport using boundary data measured on an arc5
Non-stationary multi-layered Gaussian priors for Bayesian inversion5
Error bounds for extended source inversion applied to an acoustic transmission inverse problem5
A Bayesian interpretation of the L-curve5
A projected gradient method for αℓ 1 − βℓ 2 sparsity regularization **5
Electric impedance tomography problem for surfaces with internal holes *5
Distributed least squares prediction for functional linear regression*5
Application of the second domain derivative in inverse electromagnetic scattering5
Inverse problems for constrained parabolic variational-hemivariational inequalities *5
Reconstruction of multipolar point sources with multi-frequency sparse far field data5
Nonconvex multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix*5
A distributed resistance inverse method for flow obstacle identification from internal velocity measurements5
On stochastic Kaczmarz type methods for solving large scale systems of ill-posed equations5
Inverse problem of reconstruction of degenerate diffusion coefficient in a parabolic equation4
Some direct and inverse source problems in nonlinear evolutionary PDEs with Volterra operators4
Translation invariant diagonal frame decomposition of inverse problems and their regularization4
Quantitative signal subspace imaging4
A dataset-free deep learning method for low-dose CT image reconstruction4
Spatiotemporal imaging with diffeomorphic optimal transportation4
Identifying source term in the subdiffusion equation with L 2-TV regularization *4
Determining damping terms in fractional wave equations4
Learning optical flow for fast MRI reconstruction4
Parameter identification for elliptic boundary value problems: an abstract framework and applications4
Recovering point sources for the inhomogeneous Helmholtz equation *4
An accelerated homotopy perturbation iteration for nonlinear ill-posed problems in Banach spaces with uniformly convex penalty4
Inverse potential problem for a semilinear generalized fractional diffusion equation with spatio-temporal dependent coefficients4
Analysis of a generalized regularized Gauss–Newton method under heuristic rule in Banach spaces4
Estimate the spectrum of affine dynamical systems from partial observations of a single trajectory data4
Tangential cone condition and Lipschitz stability for the full waveform forward operator in the acoustic regime4
On iteratively regularized predictor–corrector algorithm for parameter identification *4
Numerical reconstruction from the Fourier transform on the ball using prolate spheroidal wave functions4
Co-inversion of a scattering cavity and its internal sources: uniqueness, decoupling and imaging4
Weighted Radon transforms of vector fields, with applications to magnetoacoustoelectric tomography4
Displacement field estimation from OCT images utilizing speckle information with applications in quantitative elastography4
A projected Bouligand–Landweber iteration for non-smooth ill-posed problems4
Determining a parabolic system by boundary observation of its non-negative solutions with biological applications4
Dynamic Fourier ptychography with deep spatiotemporal priors4
On the simultaneous reconstruction of boundary Robin coefficient and internal source in a slow diffusion system4
Inverse problem for a nonlocal diffuse optical tomography equation4
Tikhonov regularization for polynomial approximation problems in Gauss quadrature points4
Regularisation, optimisation, subregularity4
Carleman contraction mapping for a 1D inverse scattering problem with experimental time-dependent data4
Joint gravity and magnetic inversion with trans-dimensional alpha shapes and autoregressive noise models4
Numerical solution of an inverse random source problem for the time fractional diffusion equation via PhaseLift4
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