Centre de Vision Numérique (CVN)

Laboratory presentation

CVN is at the crossroads between mathematics and computer science. It focuses its research on computer vision and its numerous applications, machine learning, and the analysis of biomedical imagery. CVN is therefore active in varied research fields (from image reconstruction to autonomous vehicles, or even computer assisted surgery), making it an active partner with several industry leading corporations.

The 20 latest publications

Title Authors Publication date Source
A computational two-photon fluorescence approach for revealing label-free the 3D image of viruses and bacteria E. Chouzenoux 05/01/23 Journal of Biophotonics
Synthetic MR image generation of macrotrabecular-massive hepatocellular carcinoma using generative adversarial networks Younes Belkouchi, Hugues Talbot 05/01/23 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 04/14/23 Clinical Cancer Research
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery E. Chouzenoux, Ségolène Martin, Jean Christophe Pesquet 04/01/23 Journal of Mathematical Imaging and Vision
Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography Gabriele Scrivanti 04/01/23 Signal Processing
Block delayed Majorize-Minimize subspace algorithm for large scale image restoration E. Chouzenoux, Jean Baptiste Fest 04/01/23 Inverse Problems
Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge Younes Belkouchi, Hugues Talbot 01/01/23 Diagnostic and interventional imaging
Artificial intelligence in musculoskeletal oncology imaging: A critical review of current applications Theodore Aouad 01/01/23 Diagnostic and interventional imaging
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction Stuti Jain, E. Chouzenoux 01/01/23 IEEE Journal of Biomedical and Health Informatics
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes Paul Zheng, E. Chouzenoux 01/01/23 IEEE Signal Processing Letters
Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise Sagar Verma, Jean Christophe Pesquet 01/01/23 IEEE Transactions on Industrial Electronics
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution Yunshi Huang, E. Chouzenoux, Jean Christophe Pesquet 01/01/23 IEEE Transactions on Image Processing
SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm E. Chouzenoux, Jean Baptiste Fest 12/01/22 Journal of Optimization Theory and Applications
Singular Arcs in Optimal Periodic Controls for Scalar Dynamics and Integral Input Constraint Thomas Guilmeau 11/01/22 Journal of Optimization Theory and Applications
Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion E. Chouzenoux 11/01/22 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 10/14/22 Neurocomputing
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring E. Chouzenoux 10/01/22 ACM Transactions on Knowledge Discovery from Data
Multiple similarity drug-target interaction prediction with random walks and matrix factorization Fragkiskos D. Malliaros 09/01/22 Briefings in Bioinformatics
Distributed algorithms for scalable proximity operator computation and application to video denoising E. Chouzenoux, Jean Christophe Pesquet, Hugues Talbot 08/01/22 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 08/01/22 Investigative Radiology

Number of publications of the laboratory by scientific field (2016-2021)

Every paper can be classified in one or more scientific fields. The figure below shows the lab's number of publications in each scientific field, according to the ASJC classification (Elsevier)