Autocalibrated regularized parallel MRI reconstruction in the wavelet

An embedded coder for multispectral image compression based on vector lifting structures

A Random Block-Coordinate Primal-Dual Proximal Algorithm with Application to 3D Mesh Denoising

Opérateurs proximaux pour la restauration bayésienne de signaux

Image Denoising in the Wavelet Transform Domain Based on Stein's Principle

Convolutive blind signal separation based on asymmetrical contrast functions

Linear convergence of stochastic block-coordinate fixed point algorithms

Design of Robust Complex-Valued Feed-Forward Neural Networks

Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations With Random Sweeping II: Mean-Square and Linear Convergence

Long-range dependence and heavy-tail modeling for teletraffic data

Performance of three parallel MRI reconstruction methods in the presence of coil sensitivity map errors

Deep learning method for accessible eccentric photorefraction

A Matched CBCT Projector-Backprojector Based on the Convolution of B-splines

A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data

Optimization Methods for Signal Processing

A Convex Optimization Approach for Depth Estimation Under Illumination Variation

Aggregated f -average Neural Network for Interpretable Ensembling

Adapted Vector-lifting schemes for compression of polarimetric and multifrequency SAR images

Extension des algorithmes imbriqués pour la résolution de problèmes d'optimisation convexe en imagerie

Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics

Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm

Bancs de filtres et méthodes proximales pour la restauration d'images

Adaptive lifting scheme with sparse criteria for image coding

Non-separable lifting scheme with adaptive update step for still and stereo image coding

Lifting schemes for joint coding of stereoscopic pairs of satellite images

Hybrid regularization for data restoration in the presence of Poisson noise

A Data Augmentation Approach for Sampling Gaussian Models in High Dimension

EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks

Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration

Disparity Map Estimation Using A Total Variation Bound

Un petit tutoriel sur les méthodes primales-duales proximales pour l'optimisation convexe

2D dual-tree M-band wavelet decomposition

A New Approach for Microcalcification Enhancement in Digital Breast Tomosynthesis Reconstruction

A Distributed Strategy for Computing Proximity Operators

MM Adapted MH Methods

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution

A decomposition method for directional Total Variation with application to needle reconstruction in interventional imaging

Unmatched Preconditioning of the Proximal Gradient Algorithm

Deep Neural Network Structures Solving Variational Inequalities *

A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training

2D dual-tree complex biorthogonal M-band wavelet transform

A convex programming approach for color stereo matching

Signal Denoising Using a New Class of Robust Neural Networks

A Deep Learning Approach for Improved Segmentation of Lesions Related to Covid-19 Chest CT Scans

Robust Obstacle Detection based on Dense Disparity Maps

Dense disparity map representations for stereo image coding

ℓ1-Adapted Non Separable Vector Lifting Schemes For Stereo Image Coding

Are almost non-negative neural networks universal approximators?

Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems

A nonconvex regularized approach for phase retrieval