SIAM Journal on Imaging Sciences

Article	Citations
Diffeomorphic Registration Using Sinkhorn Divergences	116
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	85
A Formalization of Image Vectorization by Region Merging	32
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition	29
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values	27
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters	26
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions	25
Shape-Informed Graph Neural Networks and Data Assimilation: Application to Velocity and Pressure Reconstruction in Aortic Blood Flow	24
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion	23
Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection	22
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling	20
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain	20
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds	17
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters	16
Waveform Inversion with a Data Driven Estimate of the Internal Wave	16
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	15
ROM Inversion of Monostatic Data Lifted to Full MIMO	15
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis	14
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment	14
Imaging Anisotropic Conductivities from Current Densities	13
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport	12
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D	12
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector	12
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks	12
A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems	12

IFF: A Superresolution Algorithm for Multiple Measurements	12
A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction	11
Convergence Results in Image Interpolation With the Continuous SSIM	11
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing	11
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery	11
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\)	10
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model	10
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding	10
Image Segmentation with Adaptive Spatial Priors from Joint Registration	10
Localization of Point Scatterers via Sparse Optimization on Measures	10
An Adaptive Nonuniform Map Re-weighting Method for Image Dehazing	10
Smoothing Priors for Blind Image Deblurring	10
Stable Image Reconstruction Using Transformed Total Variation Minimization	10
Sequential Model Correction for Nonlinear Inverse Problems	9
Direct Imaging of Moving Acoustic Point Sources	9
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems	9
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces	9
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification	9
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks	9
Turning Grain Maps into Diagrams	9
A Spatial Color Compensation Model Using Saturation-Value Total Variation	9
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map	8
Early Stopping of Untrained Convolutional Neural Networks	8
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems	8
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line	8
Dictionary-Based Block Term Decomposition for Third-Order Tensors	8
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT	8
Image Recovery for Blind Polychromatic Ptychography	8
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening	8
Subspace Method of Moments for Ab Initio 3-D Single Particle Cryo-EM Reconstruction	8
Data Fusion for a Multiscale Model of a Wheat Leaf Surface: A Unifying Approach Using a Radial Basis Function Partition of Unity Method	8
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms	8
Elastica Models for Color Image Regularization	7
TILT: Topological Interface Recovery in Limited-Angle Tomography	7
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems	7
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization	7
Polynomial Preconditioners for Regularized Linear Inverse Problems	7
Group Equivariant Morphological Networks	7
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent’ev Integral Operator	7
V-Line Tensor Tomography: Numerical Results	7
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT	7
Linesearch-Enhanced Forward–Backward Methods for Inexact Nonconvex Scenarios	7
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks	7
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest	7
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations	6
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent	6
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization	6
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise	6
QIS : Interactive Segmentation via Quasi-conformal Mappings	6
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces	6

The Linear Sampling Method for Data Generated by Small Random Scatterers	6
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint	6
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices	6
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling	6
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery	6
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography	5
Accurate, Provable, and Fast Polychromatic Tomographic Reconstruction: A Variational Inequality Approach	5
Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties	5
Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization	5
Bioinspired Random Projections for Robust, Sparse Classification	5
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	5
Consistent Connected Operators Based on Trees of Shapes	5
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	5
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation	5
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling	5
Long-Time Asymptotics of the Sliced-Wasserstein Flow	5
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors	5
Joint Reconstruction-Segmentation on Graphs	5
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors	5
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems	5
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville	5
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	5
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients	4
Practical Acceleration of the Condat–Vũ Algorithm	4
Connected-Component Preserving Image Segmentation Using the Iterative Convolution-Thresholding Method	4
Steerable Near-Quadrature Filter Pairs in Three Dimensions	4
A Quantum Information-Based Refoundation of Color Perception Concepts	4
Using Decoupled Features for Photorealistic Style Transfer	4
Provably Convergent Plug-and-Play Quasi-Newton Methods	4
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	4
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement	4
Close-to-Optimal Counter Histogram-Based Forensics Using Mean Structural Similarity Index Metric	4
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction	4
A Variational Model for Nonuniform Low-Light Image Enhancement	4
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization	4
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	4
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization	4
On Phase Unwrapping via Digital Wavefront Sensors	4
Image Warp Preserving Content Intensity	4
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem	3
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data	3
Efficient Bayesian Computation for Low-Photon Imaging Problems	3
Geometric Shape Matching for Recovering Protein Conformations from Single-Particle Cryo-EM Data	3
Averaging Orientations with Molecular Symmetry in Cryo-EM	3
A Majorization-Minimization Algorithm for Neuroimage Registration	3
Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image Classification	3
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	3
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control	3
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation	3
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	3
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart	3
Separable Quaternion Matrix Factorization for Polarization Images	3
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	3
Uncertainty Estimation for Learning-Based Classification of Corrupted Images	3
Spherical Framelets from Spherical Designs	3
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	3
Total Generalized Variation of the Normal Vector Field and Applications to Mesh Denoising	3
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation	3
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks	3
Proximal Langevin Sampling with Inexact Proximal Mapping	3
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	3
Adaptive and Implicit Regularization for Matrix Completion	3
Provable Phase Retrieval with Mirror Descent	3
Robustness of Data-Driven Approaches in Limited Angle Tomography	3
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising	3
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces	3
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach	3
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case	3
Local Analysis of Iterative Reconstruction from Discrete Generalized Radon Transform Data in the Plane	3
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization	2
The Linear Sampling Method for Random Sources	2
Stable Local-Smooth Principal Component Pursuit	2
\(\boldsymbol {n}\)-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications	2
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result	2
Refining Image Edge Detection via Linear Canonical Riesz Transforms	2
NeurTV: Total Variation on the Neural Domain	2
Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels	2
Compressive Learning for Patch-Based Image Denoising	2
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis	2
A Splitting Scheme for Flip-Free Distortion Energies	2

Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems	2
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data	2
Tensor Robust Principal Component Analysis Based on a Two-Layer Tucker Rank Minimization Model	2
Imaging with Thermal Noise Induced Currents	2
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging	2
Rethinking Coupled Tensor Analysis for Hyperspectral Superresolution: Recoverable Modeling under Endmember Variability	2
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions	2
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields	2
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion	2
Single Pixel X-ray Transform and Related Inverse Problems	2
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery	2
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar	2
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration	2
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion	2