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Centre de Vision Numérique

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
Binary matrix completion on graphs: Application to collaborative filtering Emilie Chouzenoux 04/15/22 Digital Signal Processing: A Review Journal
A Novel Task-Based reconstruction approach for digital breast tomosynthesis Maissa Sghaier, Emilie Chouzenoux, Jean Christophe Pesquet 04/01/22 Medical Image Analysis
Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion Yingping Li, Arnaud Quillent, Emilie Chouzenoux 04/01/22 Cancers
Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker Younes Belkouchi, Hugues Talbot 03/01/22 Cancers
Can Deep Learning Replace Gadolinium in Neuro-Oncology?: A Reader Study Emilie Chouzenoux 02/01/22 Investigative Radiology
PROXIMAL-BASED ADAPTIVE SIMULATED ANNEALING FOR GLOBAL OPTIMIZATION Thomas Guilmeau, Emilie Chouzenoux 01/01/22 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
A NON-CONVEX PROXIMAL APPROACH FOR CENTROID-BASED CLASSIFICATION Mewe Hezoudah Kahanam, Ségolène Martin, Jean Christophe Pesquet 01/01/22 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
A CONVEX FORMULATION FOR THE ROBUST ESTIMATION OF MULTIVARIATE EXPONENTIAL POWER MODELS Nora Ouzir, Jean Christophe Pesquet 01/01/22 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Unmatched Preconditioning of the Proximal Gradient Algorithm Marion Savanier, Emilie Chouzenoux, Jean Christophe Pesquet 01/01/22 IEEE Signal Processing Letters
Dynamic Neural Network for Lossy-to-Lossless Image Coding Jean Christophe Pesquet 01/01/22 IEEE Transactions on Image Processing
Multiple Kernel Representation Learning on Networks Fragkiskos Malliaros 01/01/22 IEEE Transactions on Knowledge and Data Engineering
An instrumental and computational pipeline for visualizing free viral particles Emilie Chouzenoux 01/01/22 Proceedings of SPIE - The International Society for Optical Engineering
Axial organization of muscular myosin identified by the optical and computational pipeline FAMOUS Emilie Chouzenoux 01/01/22 Proceedings of SPIE - The International Society for Optical Engineering
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients Emilie Chouzenoux, Yingping Li, Sagar Verma, Matthieu Terris, Tasnim Dardouri, Kavya Gupta, Ana Neacsu, Jean Christophe Pesquet, Hugues Talbot 12/01/21 Nature Communications
Three artificial intelligence data challenges based on CT and ultrasound Emilie Chouzenoux 11/01/21 Diagnostic and interventional imaging
Magnification-driven B-spline interpolation for cone-beam projection and backprojection Marion Savanier, Emilie Chouzenoux, Jean Christophe Pesquet 10/01/21 Medical Physics
Recurrent dictionary learning for state-space models with an application in stock forecasting Emilie Chouzenoux 08/25/21 Neurocomputing
Simulated Annealing: A Review and a New Scheme Thomas Guilmeau, Emilie Chouzenoux 07/11/21 IEEE Workshop on Statistical Signal Processing Proceedings
Multiplex-multiphoton microscopy and computational strategy for biomedical imaging Emilie Chouzenoux, Jean Christophe Pesquet 07/01/21 Microscopy Research and Technique
Impact of preprocessing and harmonization methods on the removal of scanner effects in brain mri radiomic features Yingping Li, Emilie Chouzenoux 06/02/21 Cancers

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)