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 2021-11-01 to 2025-11-01.)
ArticleCitations
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters80
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach71
A Formalization of Image Vectorization by Region Merging23
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition22
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions21
Diffeomorphic Registration Using Sinkhorn Divergences21
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion21
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values21
Learnable Empirical Mode Decomposition based on Mathematical Morphology19
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds18
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain17
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling17
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters15
Waveform Inversion with a Data Driven Estimate of the Internal Wave15
Imaging Anisotropic Conductivities from Current Densities15
The Linearized Hellinger--Kantorovich Distance15
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar14
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image13
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis12
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment11
IFF: A Superresolution Algorithm for Multiple Measurements11
ROM Inversion of Monostatic Data Lifted to Full MIMO11
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks11
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D10
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport10
A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction9
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery9
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector9
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing9
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data9
A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems9
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\)9
Convergence Results in Image Interpolation With the Continuous SSIM9
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding8
Image Segmentation with Adaptive Spatial Priors from Joint Registration8
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map8
Direct Imaging of Moving Acoustic Point Sources8
Sequential Model Correction for Nonlinear Inverse Problems8
An Image Registration Model in Electron Backscatter Diffraction8
Stable Image Reconstruction Using Transformed Total Variation Minimization8
Localization of Point Scatterers via Sparse Optimization on Measures8
A Spatial Color Compensation Model Using Saturation-Value Total Variation8
Smoothing Priors for Blind Image Deblurring8
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model8
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks8
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems8
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification8
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening7
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT7
Polynomial Preconditioners for Regularized Linear Inverse Problems7
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems7
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces7
Dictionary-Based Block Term Decomposition for Third-Order Tensors7
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT7
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line7
Image Recovery for Blind Polychromatic Ptychography7
Early Stopping of Untrained Convolutional Neural Networks7
Turning Grain Maps into Diagrams7
Elastica Models for Color Image Regularization7
Data Fusion for a Multiscale Model of a Wheat Leaf Surface: A Unifying Approach Using a Radial Basis Function Partition of Unity Method7
QIS : Interactive Segmentation via Quasi-conformal Mappings6
Linesearch-Enhanced Forward–Backward Methods for Inexact Nonconvex Scenarios6
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent’ev Integral Operator6
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent6
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems6
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks6
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices6
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest6
TILT: Topological Interface Recovery in Limited-Angle Tomography6
Group Equivariant Morphological Networks6
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization6
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise5
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint5
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper5
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville5
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling5
V-Line Tensor Tomography: Numerical Results5
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces5
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations5
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors5
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization5
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery5
The Linear Sampling Method for Data Generated by Small Random Scatterers5
Long-Time Asymptotics of the Sliced-Wasserstein Flow5
Bioinspired Random Projections for Robust, Sparse Classification5
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization4
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography4
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems4
Joint Reconstruction-Segmentation on Graphs4
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients4
Provably Convergent Plug-and-Play Quasi-Newton Methods4
Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization4
Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms4
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling4
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors4
A Variational Model for Nonuniform Low-Light Image Enhancement4
Connected-Component Preserving Image Segmentation Using the Iterative Convolution-Thresholding Method4
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation4
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation4
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior4
A New Variational Model for Shape Graph Registration with Partial Matching Constraints4
Separable Quaternion Matrix Factorization for Polarization Images3
Uncertainty Estimation for Learning-Based Classification of Corrupted Images3
A Majorization-Minimization Algorithm for Neuroimage Registration3
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology3
Steerable Near-Quadrature Filter Pairs in Three Dimensions3
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee3
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology3
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data3
Adaptive and Implicit Regularization for Matrix Completion3
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization3
Practical Acceleration of the Condat–Vũ Algorithm3
Image Warp Preserving Content Intensity3
A Quantum Information-Based Refoundation of Color Perception Concepts3
Provable Phase Retrieval with Mirror Descent3
Spherical Framelets from Spherical Designs3
Averaging Orientations with Molecular Symmetry in Cryo-EM3
On Phase Unwrapping via Digital Wavefront Sensors3
Using Decoupled Features for Photorealistic Style Transfer3
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement3
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction3
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms3
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion2
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging2
Tensor Robust Principal Component Analysis Based on a Two-Layer Tucker Rank Minimization Model2
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar2
A Splitting Scheme for Flip-Free Distortion Energies2
Single Pixel X-ray Transform and Related Inverse Problems2
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation2
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control2
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem2
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces2
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions2
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising2
\(\boldsymbol {n}\)-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications2
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration2
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data2
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result2
Stable Local-Smooth Principal Component Pursuit2
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation2
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis2
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings2
Proximal Langevin Sampling with Inexact Proximal Mapping2
Robustness of Data-Driven Approaches in Limited Angle Tomography2
Efficient Bayesian Computation for Low-Photon Imaging Problems2
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach2
Compressive Learning for Patch-Based Image Denoising2
The Linear Sampling Method for Random Sources2
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields2
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery2
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems2
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case2
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion2
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit2
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart2
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks2
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