Centre de Vision Numérique (CVN)

Présentation du laboratoire

Le CVN se place à l'intersection entre les mathématiques et l'informatique. Il concentre ses recherches sur la vision par ordinateur et toutes ses nombreuses et diverses applications, sur l'apprentissage automatique, et sur l'analyse d'images biomédicales. Il s'inscrit donc dans des domaines très variés, allant de la reconstruction d'images à la réalisation de véhicules autonomes en passant par la chirurgie assistée par ordinateur, en faisant un partenaire privilégié dans le monde socio-économique.

Les 20 dernières publications

Titre Auteurs Date de publication Source
A computational two-photon fluorescence approach for revealing label-free the 3D image of viruses and bacteria E. Chouzenoux 01/05/2023 Journal of Biophotonics
Synthetic MR image generation of macrotrabecular-massive hepatocellular carcinoma using generative adversarial networks Younes Belkouchi, Hugues Talbot 01/05/2023 Diagnostic and interventional imaging
Better than RECIST and Faster than iRECIST: Defining the Immunotherapy Progression Decision Score to Better Manage Progressive Tumors on Immunotherapy Younes Belkouchi, Hugues Talbot 14/04/2023 Clinical Cancer Research
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery E. Chouzenoux, Ségolène Martin, Jean Christophe Pesquet 01/04/2023 Journal of Mathematical Imaging and Vision
Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography Gabriele Scrivanti 01/04/2023 Signal Processing
Block delayed Majorize-Minimize subspace algorithm for large scale image restoration E. Chouzenoux, Jean Baptiste Fest 01/04/2023 Inverse Problems
Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge Younes Belkouchi, Hugues Talbot 01/01/2023 Diagnostic and interventional imaging
Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications Theodore Aouad 01/01/2023 Diagnostic and interventional imaging
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction Stuti Jain, E. Chouzenoux 01/01/2023 IEEE Journal of Biomedical and Health Informatics
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes Paul Zheng, E. Chouzenoux 01/01/2023 IEEE Signal Processing Letters
Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise Sagar Verma, Jean Christophe Pesquet 01/01/2023 IEEE Transactions on Industrial Electronics
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution Yunshi Huang, E. Chouzenoux, Jean Christophe Pesquet 01/01/2023 IEEE Transactions on Image Processing
SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm E. Chouzenoux, Jean Baptiste Fest 01/12/2022 Journal of Optimization Theory and Applications
Singular Arcs in Optimal Periodic Controls for Scalar Dynamics and Integral Input Constraint Thomas Guilmeau 01/11/2022 Journal of Optimization Theory and Applications
Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion E. Chouzenoux 01/11/2022 IEEE/ACM Transactions on Computational Biology and Bioinformatics
Deep transform and metric learning network: Wedding deep dictionary learning and neural network E. Chouzenoux, Jean Christophe Pesquet 14/10/2022 Neurocomputing
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring E. Chouzenoux 01/10/2022 ACM Transactions on Knowledge Discovery from Data
Multiple similarity drug-target interaction prediction with random walks and matrix factorization Fragkiskos D. Malliaros 01/09/2022 Briefings in Bioinformatics
Distributed algorithms for scalable proximity operator computation and application to video denoising E. Chouzenoux, Jean Christophe Pesquet, Hugues Talbot 01/08/2022 Digital Signal Processing: A Review Journal
From Dose Reduction to Contrast Maximization: Can Deep Learning Amplify the Impact of Contrast Media on Brain Magnetic Resonance Image Quality? A Reader Study E. Chouzenoux 01/08/2022 Investigative Radiology

Nombre de publications du laboratoire par domaine scientifique (2016-2021)

Chaque publication du laboratoire peut être rangée dans une ou plusieurs disciplines scientifiques : la figure ci-dessus présente le nombre de publications du laboratoire pour chaque discipline de la classification ASJC (Elsevier)