Publication

Identification and characterization of damaged fiber-reinforced laminates in a Bayesian framework

Ultrasonic and microwave data fusion for breast imaging within an artificial intelligence context involving a Bayesian approach and transfer learning

Enhancing CFRP delamination detection: A Bayesian neural network approach Integrating spatial and temporal information

Ground Penetrating Radar, from Theoretical Endeavors to Computational Electromagnetics, Signal Processing, Antenna Design and Field Application

GPR for Tree Roots Reconstruction under Heterogeneous Soil Conditions

New Trends in Electromagnetic Inverse Problems, Inverse Problems Special Issue

Unrolled convolutional neural network for full-wave inverse scattering

Faire progresser l’imagerie du sein grâce à la fusion de données et à l’apprentissage par transfert : une exploration complète

Electromagnetic Breast Imaging and Uncertainty Quantification with Bayesian Neural Networks

Identification and characterization of damaged fiber-reinforced laminates in a Bayesian framework

Breast imaging by convolutional neural networks from joint microwave and ultrasonic data

Group sparsity penalized contrast source solution method for 2-D non-linear inverse scattering

Fused microwave and ultrasonic breast imaging within the framework of a joint variational Bayesian approximation

Breast imaging by cascaded CNN from joint microwave and ultrasonic data

Data fusion and non-destructive testing of damaged fiber-reinforced laminates

On breast imaging from joint microwave and acoustic data within a Bayesian framework

Imagerie ultrasonore adaptative appliquée à des structures anisotropes dont les propriétés matériaux sont inconnues

Imaging comparison of GPR based on multi- and bi-static configurations

Imaging of sub-wavelength micro-structures by time reversal and neural networks, from synthetic to laboratory-controlled data

Ultrasonic array imaging of nuclear austenitic V-shape welds with Inhomogeneous and unknown anisotropic properties

Subwavelength micro-structure probing by binary-specialized methods: contrast source and convolutional neural networks

On homogenization of fiber-reinforced polymers

A processing framework for tree roots reconstruction using Ground-Penetrating Radar under heterogeneous soil conditions

Joint inversion of electromagnetic and acoustic data with edge-preserving regularization for breast imaging

On the diagnostic of a complex sub-wavelength micro-structure via machine learning tools

Use of sparsity in nonlinear electromagnetic imaging: wavelet-based contrast source method

A wavelet-based contrast source inversion method

Method and device for detecting and characterizing a reflecting element in an object

A complete framework for acousto-electric tomography with numerical examples

Electromagnetic micro-structure non-destructive testing: sparsity-constrained and combined convolutional-recurrent neural networks methods

Shape reconstruction of delamination defects using thermographic infrared signals based on an enhanced Canny approach

Microwave breast imaging with prior ultrasound information

Surrogate modeling based on resampled polynomial chaos expansions

Surrogate modeling of indoor down-link human exposure based on sparse polynomial chaos expansion

Electromagnetic modeling of damaged fiber-reinforced laminates

Optimization algorithms for ultrasonic array Imaging in homogeneous anisotropic steel components with unknown properties

Optimization method for ultrasonic array imaging of defects in complex materials with unknown elastic properties

Imaging of a micro-structure: binary contrast source inversion and convolutional neural networks

On nonlinearized inversion procedures and their application to breast imaging

Ultrasonic array imaging in anisotropic steel components with unknown properties using optimization agorithms

Near-field characterization of root systems, from computationalmodeling and simulations to controlled laboratory experiments

Nonlinearized electromagnetic imaging of complex biological structures – towards data fusion

Convolutional neural networks for imaging of micro-structures

Levenberg-Marquardt algorithm for acousto-electric tomography based on the complete electrode model

Improving the quality of images of a homogeneous anisotropic weld mold with a local optimization scheme based on a surrogate model

Diagnostic électromagnétique et imagerie d’une microstructure diélectrique à l’aide de réseaux de neurones convolutionnels

La reconstruction tridimensionnelle des architectures racinaires par le radar à pénétration de sol

Optimisation de l’imagerie ultrasonore multi-éléments dans des aciers anisotropes dont les propriétés élastiques sont incertaines: application au Contrôle Non-Destructif

On the Direct Sampling Method in 3-D far-field inverse scattering, from theory to testing on controlled laboratory data

Fast 3D model dedicated to thermographic inspections of planar composite structures