OOIR: Observatory of International Research

Papers

(The TQCC of SIAM Journal on Imaging Sciences is 5. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Learning Maximally Monotone Operators for Image Recovery	52
Regularization by Denoising via Fixed-Point Projection (RED-PRO)	51
Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization	42
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie	42
Surface-Localized Transmission Eigenstates, Super-resolution Imaging, and Pseudo Surface Plasmon Modes	36
On Learned Operator Correction in Inverse Problems	27
Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions	27
Robust CUR Decomposition: Theory and Imaging Applications	22
Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper	20
A Characteristic Function-Based Algorithm for Geodesic Active Contours	20
Strong Solutions for PDE-Based Tomography by Unsupervised Learning	16
New Restricted Isometry Property Analysis for $\ell_1-\ell_2$ Minimization Methods	15
Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks	14
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization	14
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior	14
Regularized Kaczmarz Algorithms for Tensor Recovery	14
Learning Consistent Discretizations of the Total Variation	14
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography	13
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent	13
The Modulo Radon Transform: Theory, Algorithms, and Applications	12
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit	11
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss	11
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction	11
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford--Shah Color and Multiphase Image Segmentation	10
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image	10

A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems	10
A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings	9
The Linearized Hellinger--Kantorovich Distance	9
Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms	9
Learnable Empirical Mode Decomposition based on Mathematical Morphology	9
DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation	9
A Color Elastica Model for Vector-Valued Image Regularization	8
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components	8
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging	8
Compactification of the Rigid Motions Group in Image Processing	8
Stable Image Reconstruction Using Transformed Total Variation Minimization	8
Color Image Restoration by Saturation-Value Total Variation Regularization on Vector Bundles	8
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise	7
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework	7
On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective	7
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography	7
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations	7
Multiscale Approach for Three-Dimensional Conformal Image Registration	6
Efficient Bayesian Computation for Low-Photon Imaging Problems	6
Determinantal Point Processes for Image Processing	6
Low-Rank Tensor Approximations for Solving Multimarginal Optimal Transport Problems	6
Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging	6
Fast Imaging of Sources and Scatterers in a Stratified Ocean Waveguide	6
Compressive Imaging Through Optical Fiber with Partial Speckle Scanning	6
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution	6
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography	6
Fractional Fourier Transforms Meet Riesz Potentials and Image Processing	6
A Penalty Relaxation Method for Image Processing Using Euler's Elastica Model	6
A Quantum Information-Based Refoundation of Color Perception Concepts	6
Simultaneous Reconstruction of Conductivity, Boundary Shape, and Contact Impedances in Electrical Impedance Tomography	6
Convergent Conformal Energy Minimization for the Computation of Disk Parameterizations	5
A Direct Sampling Method for the Inversion of the Radon Transform	5
Linear Convergence of Randomized Kaczmarz Method for Solving Complex-Valued Phaseless Equations	5
Complex-Valued Imaging with Total Variation Regularization: An Application to Full-Waveform Inversion in Visco-acoustic Media	5
Diffeomorphic Registration Using Sinkhorn Divergences	5
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions	5
A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion	5
A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization	5
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks	5
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms	5
A New Variational Model for Shape Graph Registration with Partial Matching Constraints	5
Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography	5
A Multiscale Deformation Representation	5
Image Segmentation with Adaptive Spatial Priors from Joint Registration	5
Patch-Based Image Restoration Using Expectation Propagation	5
Compressive Learning for Patch-Based Image Denoising	5
Centering Noisy Images with Application to Cryo-EM	5
Shared Prior Learning of Energy-Based Models for Image Reconstruction	5