SIAM Journal on Imaging Sciences

Papers
(The median citation count of SIAM Journal on Imaging Sciences is 2. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions62
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion58
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters21
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach20
Diffeomorphic Registration Using Sinkhorn Divergences20
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values18
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain17
Learnable Empirical Mode Decomposition based on Mathematical Morphology17
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition17
Waveform Inversion with a Data Driven Estimate of the Internal Wave16
The Linearized Hellinger--Kantorovich Distance16
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds15
Imaging Anisotropic Conductivities from Current Densities14
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar12
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters12
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment12
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks11
ROM Inversion of Monostatic Data Lifted to Full MIMO11
IFF: A Superresolution Algorithm for Multiple Measurements11
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis11
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image10
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D9
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery9
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport9
Image Segmentation with Adaptive Spatial Priors from Joint Registration8
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data8
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing8
Stable Image Reconstruction Using Transformed Total Variation Minimization8
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector8
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\)8
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model8
Convergence Results in Image Interpolation With the Continuous SSIM8
Sequential Model Correction for Nonlinear Inverse Problems7
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map7
Turning Grain Maps into Diagrams7
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification7
An Image Registration Model in Electron Backscatter Diffraction7
Localization of Point Scatterers via Sparse Optimization on Measures7
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening7
A Spatial Color Compensation Model Using Saturation-Value Total Variation7
Early Stopping of Untrained Convolutional Neural Networks7
Smoothing Priors for Blind Image Deblurring7
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks7
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding7
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems7
Direct Imaging of Moving Acoustic Point Sources7
Elastica Models for Color Image Regularization6
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems6
Polynomial Preconditioners for Regularized Linear Inverse Problems6
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks6
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces6
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT6
Data Fusion for a Multiscale Model of a Wheat Leaf Surface: A Unifying Approach Using a Radial Basis Function Partition of Unity Method6
Linesearch-Enhanced Forward–Backward Methods for Inexact Nonconvex Scenarios6
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT6
Image Recovery for Blind Polychromatic Ptychography6
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line6
TILT: Topological Interface Recovery in Limited-Angle Tomography6
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization5
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise5
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery5
V-Line Tensor Tomography: Numerical Results5
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest5
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper5
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint5
QIS : Interactive Segmentation via Quasi-conformal Mappings5
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations5
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization5
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems5
The Linear Sampling Method for Data Generated by Small Random Scatterers5
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent’ev Integral Operator5
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices5
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling4
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville4
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation4
Joint Reconstruction-Segmentation on Graphs4
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior4
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces4
Long-Time Asymptotics of the Sliced-Wasserstein Flow4
Bioinspired Random Projections for Robust, Sparse Classification4
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems4
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography4
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent4
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors4
Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms4
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling4
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation4
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms3
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients3
Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization3
Image Warp Preserving Content Intensity3
Using Decoupled Features for Photorealistic Style Transfer3
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction3
A Majorization-Minimization Algorithm for Neuroimage Registration3
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization3
A Variational Model for Nonuniform Low-Light Image Enhancement3
Provably Convergent Plug-and-Play Quasi-Newton Methods3
Practical Acceleration of the Condat–Vũ Algorithm3
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology3
Steerable Near-Quadrature Filter Pairs in Three Dimensions3
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization3
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors3
A New Variational Model for Shape Graph Registration with Partial Matching Constraints3
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee3
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement3
On Phase Unwrapping via Digital Wavefront Sensors3
A Quantum Information-Based Refoundation of Color Perception Concepts3
Stable Local-Smooth Principal Component Pursuit2
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach2
Proximal Langevin Sampling with Inexact Proximal Mapping2
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions2
Efficient Bayesian Computation for Low-Photon Imaging Problems2
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology2
Provable Phase Retrieval with Mirror Descent2
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation2
\(\boldsymbol {n}\)-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications2
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems2
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation2
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem2
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces2
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit2
Separable Quaternion Matrix Factorization for Polarization Images2
Spherical Framelets from Spherical Designs2
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data2
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion2
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis2
Single Pixel X-ray Transform and Related Inverse Problems2
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings2
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks2
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case2
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising2
Robustness of Data-Driven Approaches in Limited Angle Tomography2
Adaptive and Implicit Regularization for Matrix Completion2
Averaging Orientations with Molecular Symmetry in Cryo-EM2
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart2
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion2
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery2
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control2
A Splitting Scheme for Flip-Free Distortion Energies2
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