SIAM Journal on Imaging Sciences

Article	Citations
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters	80
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	71
A Formalization of Image Vectorization by Region Merging	23
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition	22
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions	21
Diffeomorphic Registration Using Sinkhorn Divergences	21
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion	21
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values	21
Learnable Empirical Mode Decomposition based on Mathematical Morphology	19
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds	18
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain	17
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling	17
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters	15
Waveform Inversion with a Data Driven Estimate of the Internal Wave	15
Imaging Anisotropic Conductivities from Current Densities	15
The Linearized Hellinger--Kantorovich Distance	15
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	14
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image	13
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis	12
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment	11
IFF: A Superresolution Algorithm for Multiple Measurements	11
ROM Inversion of Monostatic Data Lifted to Full MIMO	11
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks	11
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D	10
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport	10

A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction	9
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery	9
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector	9
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing	9
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data	9
A Primal-Dual Splitting Algorithm with Convex Combination and Larger Step Sizes for Composite Monotone Inclusion Problems	9
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}^{\textbf{2}}\)	9
Convergence Results in Image Interpolation With the Continuous SSIM	9
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding	8
Image Segmentation with Adaptive Spatial Priors from Joint Registration	8
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map	8
Direct Imaging of Moving Acoustic Point Sources	8
Sequential Model Correction for Nonlinear Inverse Problems	8
An Image Registration Model in Electron Backscatter Diffraction	8
Stable Image Reconstruction Using Transformed Total Variation Minimization	8
Localization of Point Scatterers via Sparse Optimization on Measures	8
A Spatial Color Compensation Model Using Saturation-Value Total Variation	8
Smoothing Priors for Blind Image Deblurring	8
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model	8
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks	8
The \(\boldsymbol{{p}_0}\)-Laplace “Signature” for Quasilinear Inverse Problems	8
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification	8
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening	7
Convergence Analysis of the Harmonic \(\boldsymbol{B_{{z}}}\) Algorithm with Single Injection Current in MREIT	7
Polynomial Preconditioners for Regularized Linear Inverse Problems	7
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems	7
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces	7
Dictionary-Based Block Term Decomposition for Third-Order Tensors	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
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line	7
Image Recovery for Blind Polychromatic Ptychography	7
Early Stopping of Untrained Convolutional Neural Networks	7
Turning Grain Maps into Diagrams	7
Elastica Models for Color Image Regularization	7
Data Fusion for a Multiscale Model of a Wheat Leaf Surface: A Unifying Approach Using a Radial Basis Function Partition of Unity Method	7
QIS : Interactive Segmentation via Quasi-conformal Mappings	6
Linesearch-Enhanced Forward–Backward Methods for Inexact Nonconvex Scenarios	6
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent’ev Integral Operator	6
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent	6
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems	6
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks	6
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices	6
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest	6
TILT: Topological Interface Recovery in Limited-Angle Tomography	6
Group Equivariant Morphological Networks	6
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization	6
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise	5
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint	5
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	5
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville	5

Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling	5
V-Line Tensor Tomography: Numerical Results	5
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces	5
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations	5
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors	5
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization	5
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery	5
The Linear Sampling Method for Data Generated by Small Random Scatterers	5
Long-Time Asymptotics of the Sliced-Wasserstein Flow	5
Bioinspired Random Projections for Robust, Sparse Classification	5
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization	4
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography	4
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems	4
Joint Reconstruction-Segmentation on Graphs	4
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients	4
Provably Convergent Plug-and-Play Quasi-Newton Methods	4
Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization	4
Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms	4
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling	4
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors	4
A Variational Model for Nonuniform Low-Light Image Enhancement	4
Connected-Component Preserving Image Segmentation Using the Iterative Convolution-Thresholding Method	4
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation	4
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	4
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	4
A New Variational Model for Shape Graph Registration with Partial Matching Constraints	4
Separable Quaternion Matrix Factorization for Polarization Images	3
Uncertainty Estimation for Learning-Based Classification of Corrupted Images	3
A Majorization-Minimization Algorithm for Neuroimage Registration	3
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	3
Steerable Near-Quadrature Filter Pairs in Three Dimensions	3
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	3
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	3
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data	3
Adaptive and Implicit Regularization for Matrix Completion	3
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization	3
Practical Acceleration of the Condat–Vũ Algorithm	3
Image Warp Preserving Content Intensity	3
A Quantum Information-Based Refoundation of Color Perception Concepts	3
Provable Phase Retrieval with Mirror Descent	3
Spherical Framelets from Spherical Designs	3
Averaging Orientations with Molecular Symmetry in Cryo-EM	3
On Phase Unwrapping via Digital Wavefront Sensors	3
Using Decoupled Features for Photorealistic Style Transfer	3
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement	3
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction	3
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	3
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion	2
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging	2
Tensor Robust Principal Component Analysis Based on a Two-Layer Tucker Rank Minimization Model	2
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar	2
A Splitting Scheme for Flip-Free Distortion Energies	2
Single Pixel X-ray Transform and Related Inverse Problems	2
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation	2
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control	2
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem	2
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces	2
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions	2
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising	2
\(\boldsymbol {n}\)-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications	2
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration	2
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data	2
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result	2
Stable Local-Smooth Principal Component Pursuit	2
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation	2
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis	2
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	2
Proximal Langevin Sampling with Inexact Proximal Mapping	2
Robustness of Data-Driven Approaches in Limited Angle Tomography	2
Efficient Bayesian Computation for Low-Photon Imaging Problems	2
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach	2
Compressive Learning for Patch-Based Image Denoising	2
The Linear Sampling Method for Random Sources	2
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields	2
\(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery	2
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems	2
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case	2
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	2
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	2
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart	2

PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks

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