OOIR: Observatory of International Research

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 2021-09-01 to 2025-09-01.)

Article	Citations
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions	67
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion	66
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters	23
Diffeomorphic Registration Using Sinkhorn Divergences	22
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	20
A Formalization of Image Vectorization by Region Merging	18
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values	18
Learnable Empirical Mode Decomposition based on Mathematical Morphology	18
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition	18
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain	16
Waveform Inversion with a Data Driven Estimate of the Internal Wave	16
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds	15
Imaging Anisotropic Conductivities from Current Densities	14
The Linearized Hellinger--Kantorovich Distance	14
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling	14
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	13
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters	13
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment	12
Semi-Unbalanced Optimal Transport for Reference-Based Image Restoration and Synthesis	12
ROM Inversion of Monostatic Data Lifted to Full MIMO	11
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image	10
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks	10
IFF: A Superresolution Algorithm for Multiple Measurements	10
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D	9
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport	9

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

Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery	5
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	4
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville	4
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	4
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography	4
Long-Time Asymptotics of the Sliced-Wasserstein Flow	4
Bioinspired Random Projections for Robust, Sparse Classification	4
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling	4
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	4
Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms	4
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors	4
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation	4
Joint Reconstruction-Segmentation on Graphs	4
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems	4
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	3
A New Variational Model for Shape Graph Registration with Partial Matching Constraints	3
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors	3
Using Decoupled Features for Photorealistic Style Transfer	3
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization	3
Spherical Framelets from Spherical Designs	3
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction	3
A Quantum Information-Based Refoundation of Color Perception Concepts	3
Practical Acceleration of the Condat–Vũ Algorithm	3
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement	3
A Variational Model for Nonuniform Low-Light Image Enhancement	3
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	3
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization	3
Averaging Orientations with Molecular Symmetry in Cryo-EM	3
On Phase Unwrapping via Digital Wavefront Sensors	3
Steerable Near-Quadrature Filter Pairs in Three Dimensions	3
Image Warp Preserving Content Intensity	3
Provably Convergent Plug-and-Play Quasi-Newton Methods	3
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients	3
Adaptive Unsupervised Anomaly Detection in Variable Environment by Online Expectation Maximization	3
A Majorization-Minimization Algorithm for Neuroimage Registration	3
Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data	3
Uncertainty Estimation for Learning-Based Classification of Corrupted Images	3
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	3
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart	2
Proximal Langevin Sampling with Inexact Proximal Mapping	2
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	2
Separable Quaternion Matrix Factorization for Polarization Images	2
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation	2
$\boldsymbol{L_1-\beta L_q}$ Minimization for Signal and Image Recovery	2
Single Pixel X-ray Transform and Related Inverse Problems	2
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis	2
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem	2
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	2
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces	2
Robustness of Data-Driven Approaches in Limited Angle Tomography	2
Adaptive and Implicit Regularization for Matrix Completion	2
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control	2
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion	2
A Splitting Scheme for Flip-Free Distortion Energies	2
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	2
Stable Local-Smooth Principal Component Pursuit	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
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising	2
Provable Phase Retrieval with Mirror Descent	2
Efficient Bayesian Computation for Low-Photon Imaging Problems	2
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions	2
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation	2
$\boldsymbol {n}$-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations with Applications	2
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems	2
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach	2
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks	2