OOIR: Observatory of International Research

Papers

(The median citation count of SIAM Journal on Imaging Sciences is 1. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions	55
Euler’s Elastica-Based Cartoon-Smooth-Texture Image Decomposition	44
Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach	18
Diffeomorphic Registration Using Sinkhorn Divergences	17
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion	16
Learnable Empirical Mode Decomposition based on Mathematical Morphology	15
A Class of Priors for Color Image Restoration Parameterized by Lie Groups Acting on Pixel Values	14
Tangential Fixpoint Iterations for Gromov–Wasserstein Barycenters	13
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds	13
An Inverse Problems Approach to Pulse Wave Analysis in the Human Brain	11
ROM Inversion of Monostatic Data Lifted to Full MIMO	11
Waveform Inversion with a Data Driven Estimate of the Internal Wave	11
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment	11
The Linearized Hellinger--Kantorovich Distance	11
Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters	10
IFF: A Superresolution Algorithm for Multiple Measurements	10
High-Resolution, Quantitative Signal Subspace Imaging for Synthetic Aperture Radar	10
Imaging Anisotropic Conductivities from Current Densities	10
Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks	9
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Points (Part II): Near-Field Case in 3D	8
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image	8
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data	8
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport	8
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector	8
Displacement and Pressure Reconstruction from Magnetic Resonance Elastography Images: Application to an In Silico Brain Model	7

Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing	7
An Image Registration Model in Electron Backscatter Diffraction	7
Convergence Results in Image Interpolation With the Continuous SSIM	7
Parallelizable Global Quasi-Conformal Parameterization of Multiply Connected Surfaces via Partial Welding	7
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery	7
Image Segmentation with Adaptive Spatial Priors from Joint Registration	7
Stable Image Reconstruction Using Transformed Total Variation Minimization	6
Smoothing Priors for Blind Image Deblurring	6
Early Stopping of Untrained Convolutional Neural Networks	6
Localization of Point Scatterers via Sparse Optimization on Measures	6
A Spatial Color Compensation Model Using Saturation-Value Total Variation	6
Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classification	6
Analysis of View Aliasing for the Generalized Radon Transform in ${\mathbb R}^{\textbf{2}}$	6
Sequential Model Correction for Nonlinear Inverse Problems	6
Turning Grain Maps into Diagrams	6
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks	6
Direct Imaging of Moving Acoustic Point Sources	5
Increasing Stability for Recovering Anisotropic Potential in Elastic Scattering from a Linearized Dirichlet to Neumann Map	5
Convergence Analysis of the Nonlinear Kaczmarz Method for Systems of Nonlinear Equations with Componentwise Convex Mappings and Applications to Image Reconstruction in Multispectral CT	5
On Assignment Problems Related to Gromov–Wasserstein Distances on the Real Line	5
TILT: Topological Interface Recovery in Limited-Angle Tomography	5
A Low-Rank Tensor Completion Method via Strassen–Ottaviani Flattening	5
Image Recovery for Blind Polychromatic Ptychography	5
The $\boldsymbol{{p}_0}$-Laplace “Signature” for Quasilinear Inverse Problems	5
A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems	5
Polynomial Preconditioners for Regularized Linear Inverse Problems	5
On the Convergence of Stochastic Gradient Descent for Linear Inverse Problems in Banach Spaces	5
Convergence Analysis of the Harmonic $\boldsymbol{B_{{z}}}$ Algorithm with Single Injection Current in MREIT	5
Elastica Models for Color Image Regularization	5
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks	5
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent	4
An Algorithm to Compute Any Simple $k$-gon of a Maximum Area or Perimeter Inscribed in a Region of Interest	4
A Fast Averaged Kaczmarz Iteration with Convex Penalty for Inverse Problems in Hilbert Spaces	4
QIS : Interactive Segmentation via Quasi-conformal Mappings	4
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems	4
Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization	4
Bilateral Tensor Low-Rank Representation for Insufficient Observed Samples in Multidimensional Image Clustering and Recovery	4
Acoustic Imaging via a Viscosity Approximation of an Elliptic System Generated by the Lavrent’ev Integral Operator	4
Short Communication: FISTA Iterates Converge Linearly for Denoiser-Driven Regularization	4
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint	4
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling	4
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise	4
The Linear Sampling Method for Data Generated by Small Random Scatterers	4
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations	3
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	3
Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms	3
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems	3
V-Line Tensor Tomography: Numerical Results	3
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville	3
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation	3

Bioinspired Random Projections for Robust, Sparse Classification	3
Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices	3
Long-Time Asymptotics of the Sliced-Wasserstein Flow	3
Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors	3
Using Decoupled Features for Photorealistic Style Transfer	2
Steerable Near-Quadrature Filter Pairs in Three Dimensions	2
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	2
A Variational Model for Nonuniform Low-Light Image Enhancement	2
Singular Value Decomposition of the Wave Forward Operator with Radial Variable Coefficients	2
Joint Reconstruction-Segmentation on Graphs	2
Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling	2
A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement	2
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee	2
A Quantum Information-Based Refoundation of Color Perception Concepts	2
Practical Acceleration of the Condat–Vũ Algorithm	2
Provably Convergent Plug-and-Play Quasi-Newton Methods	2
An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography	2
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	2
Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization	2
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization	2
Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction	2
A Majorization-Minimization Algorithm for Neuroimage Registration	2
A New Variational Model for Shape Graph Registration with Partial Matching Constraints	2
An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors	2
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation	2
Image Warp Preserving Content Intensity	2
Asymptotic Links between Signal Processing, Acoustic Metamaterials, and Biology	2
Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Image Restoration	1
Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar	1
Stable Local-Smooth Principal Component Pursuit	1
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data	1
Stochastic Variance Reduced Gradient for Affine Rank Minimization Problem	1
A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis	1
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	1
$\boldsymbol{L_1-\beta L_q}$ Minimization for Signal and Image Recovery	1
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces	1
Single Pixel X-ray Transform and Related Inverse Problems	1
Robustness of Data-Driven Approaches in Limited Angle Tomography	1
Efficient Bayesian Computation for Low-Photon Imaging Problems	1
A Projected Nesterov–Kaczmarz Approach to Stellar Population-Kinematic Distribution Reconstruction in Extragalactic Archaeology	1
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks	1
Imaging with Thermal Noise Induced Currents	1
Compressive Learning for Patch-Based Image Denoising	1
Dynamic Image Reconstruction with Motion Priors in Application to Three Dimensional Magnetic Particle Imaging	1
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions	1
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and ${\boldsymbol{{l_p}}}$ Minimization	1
Regularized CNN with Geodesic Active Contour and Edge Predictor for Image Segmentation	1
The Linear Sampling Method for Random Sources	1
Proximal Langevin Sampling with Inexact Proximal Mapping	1
Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion	1
Averaging Orientations with Molecular Symmetry in Cryo-EM	1
Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields	1
Separable Quaternion Matrix Factorization for Polarization Images	1
Adaptive and Implicit Regularization for Matrix Completion	1
Imaging a Moving Point Source from Multifrequency Data Measured at One and Sparse Observation Directions (Part I): Far-Field Case	1
Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach	1
NeurTV: Total Variation on the Neural Domain	1
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions	1
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion	1
Assembling a Learnable Mumford–Shah Type Model with Multigrid Technique for Image Segmentation	1
Off-the-Grid Curve Reconstruction through Divergence Regularization: An Extreme Point Result	1
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image Registration with Textural Control	1
A Splitting Scheme for Flip-Free Distortion Energies	1
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising	1
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems	1
Topological Identification of Vortical Flow Structures in the Left Ventricle of the Heart	1
Spherical Framelets from Spherical Designs	1
Provable Phase Retrieval with Mirror Descent	1
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	1
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	1