Recherche de pas par Majoration-Minoration. Application à la résolution de problèmes inverses.

Block Delayed Majorize-Minimize Subspace Algorithm for Large Scale Image Restoration

Machine-learning based guided diagnosis of parotid tumours from MRI

Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions

OPTIMED : Optimisation itérative pour la résolution de problèmes inverses de grande taille

PALMA, an improved algorithm for DOSY signal processing

Contrast-enhanced brain MRI synthesis with deep learning: key input modalities and asymptotic performance

Proximity Operators for a Class of Hybrid Sparsity+Entropy Priors. Application to DOSY NMR Signal Reconstruction

Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features

Fast Dictionnary-Based Approach for Mass Spectrometry Data Analysis

Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale

Three artificial intelligence data challenges based on CT and ultrasound

ComBat-MLE: A novel perspective on developing and solving ComBat harmonization method

Fast constrained least squares spectral unmixing using primal-dual interior point optimization

A computational two-photon fluorescence approach for revealing label-free the 3D image of viruses and bacteria

Calibration-less parallel imaging compressed sensing reconstruction based on OSCAR regularization

Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion

FAMOUS pipeline: multiphoton microscopy and computational strategy for 3D imaging of biomedical sample

Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study

Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization

Deep-3D-multiphoton imaging of whole biological structures with a computational assistance and the pipeline FAMOUS

Adaptive importance sampling with scaled Langevin proposal adaptatioń

Can deep learning replace gadolinium in neuro-oncology?

EMILIO : Entropy Maximization for Iterative Laplace Inversion by Optimization

From dose reduction to contrast maximization: can deep learning amplify the impact of contrast media on brain MR image quality? A reader study

Approche variationnelle pour la déconvolution rapide de données 3D en microscopie biphotonique

Multiphoton microscopy for bacterial imaging: a label-free solution resting on endogenous two-photon fluorescence

Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy

FAMOUS: a fast instrumental and computational pipeline for multiphoton microscopy applied to 3D imaging of muscle ultrastructure

Axial organization of muscular myosin identified by the optical and computational pipeline FAMOUS

A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI

Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab

Three artificial intelligence data challenges based on CT and MRI

Understanding needs in eco-design learning for novice designers

Utiliser des personas pour raconter la mobilité en 2030

Chaire Anthropolis - Une vision holistique de la mobilité urbaine

Proposal of an Eco-design Framework based on a Design Education Perspective

Using the low-tech concept to create scenarios: an analysis of its potential to design for sustainable urban future

Vers une intégration de la dimension environnementale dans les processus de conception externalisés

Co-Creating Sustainable Urban Futures: An initial Taxonomy of Methods and Tools

Seeking emotions in mobility experience elicitation: A Singapore-France comparison

Accompagner une structure territoriale dans sa transition vers la durabilité, proposition d'une architecture méthodologique

Stimulating usage problem generation: An urban mobility case study

How to visualise futures studies concepts: Revision of the futures cone

Evaluating Innovative Projects for and with Elderly People: Insights from Participatory Design Contests

The challenges of eco-innovation

Outil de visualisation pour l’analyse du trafic et des flux voyageurs dans un réseau de transport multimodal

How to select appropriate stimulation mechanisms to perform and eco-ideation session ?

Matching Synthetic Populations with Personas: A Test Application for Urban Mobility

Framing key concepts to design a human centered urban mobility system