Wavelet-based Image Deconvolution and Reconstruction

Sparse signal reconstruction with a sign oracle

Deep Unfolding of a Proximal Interior Point Method for Image Restoration

A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models

Multiplex‐multiphoton microscopy and computational strategy for biomedical imaging

Online compressed sensing MR image reconstruction for high resolution T2* imaging

Dual Block Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences

Filtrage de multiples sismiques par ondelettes et optimisation convexe

A block parallel majorize-minimize memory gradient algorithm

Alternating proximal algorithm for blind image recovery

Inversion of Integral Models: a Neural Network Approach

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension

A constrained-based optimization approach for seismic data recovery problems

BRANE Cut: Biologically-Related A priori Network Enhancement with Graph cuts for Gene Regulatory Network Inference

Block-coordinate proximal algorithms for scale-free texture segmentation

OSCAR-based reconstruction for compressed sensing and parallel MR imaging

Proximal method for geometry and texture image decomposition

Epigraphical proximal projection for sparse multiclass SVM

Parallel ProXimal Algorithm for image restoration using hybrid regularization

Deep Learning for Automatic Bowel-Obstruction Identification on Abdominal CT

Rational optimization for nonlinear reconstruction with approximate ℓ0 penalization

Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I

Deep Equilibrium for Hyperparameter Estimation in Dynamic PET Reconstruction

A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution

Recovery of nonlinearly degraded sparse signals through rational optimization

Multi-parametric 3D-point-spread function estimation in deep multiphoton microscopy with an original computational strategy dedicated to the reconstruction of muscle images

Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions

Signal reconstruction from sub-sampled and nonlinearly distorted observations

Estimating the point-spread-function using 1 µm diameter microspheres for image restoration in biomedical multiphoton microscopy

A global optimization approach for rational sparsity promoting criteria

Can GANs recover faults in electrical motor sensors?

Proximal algorithms for multicomponent image recovery problems

Globally optimizing owing to tensor decomposition

A Primal-Dual Data-Driven Method for Computational Optical Imaging with a Photonic Lantern

STOCHASTIC QUASI-FEJER BLOCK-COORDINATE FIXED POINT ITERATIONS WITH RANDOM SWEEPING

Detecting the Rank of a Symmetric Tensor

Modeling electrical motor dynamics using encoder-decoder with recurrent skip connection

Robust reconstruction with nonconvex subset constraints

A moment-based approach for guaranteed tensor decomposition

A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer

A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression

Unrolled projected gradient algorithm for stain separation in digital histopathological images

Neural networks based speed-torque estimators for induction motors and performance metrics

Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging

Neural speed–torque estimator for induction motors in the presence of measurement noise

Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images

Optimization of a Geman-McClure like criterion for sparse signal deconvolution

Sparse signal reconstruction for nonlinear models via piecewise rational optimization

Calibrationless oscar-based image reconstruction in compressed sensing parallel MRI

Global optimization for recovery of clipped signals corrupted with Poisson-Gaussian noise