OOIR: Observatory of International Research

Papers

(The TQCC of SIAM Journal on Imaging Sciences is 4. 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
Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery	7

Image Segmentation with Adaptive Spatial Priors from Joint Registration	7
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
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
Multiview Point Cloud Registration with Anisotropic and Spatially Varying Localization Noise	4
The Linear Sampling Method for Data Generated by Small Random Scatterers	4
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