773 citations
- Lyon 1 UniversitéFR56 papers
- Centre National de la Recherche ScientifiqueFR54 papers
- InsermFR50 papers
- Institut National des Sciences Appliquées de LyonFR40 papers
- Laboratoire d’Imagerie BiomédicaleFR10 papers
- Hospices Civils de LyonFR7 papers
- Lyon CollegeUS7 papers
- Université de SherbrookeCA7 papers
- Centre Hospitalier Universitaire de Saint-ÉtienneFR5 papers
- Institut de Recherche en Informatique et Systèmes AléatoiresFR5 papers
- Centre Léon BérardFR4 papers
- Institut de Recherche en Informatique de ToulouseFR4 papers
13 papers · 1 filter
A convergent Plug-and-Play Majorization-Minimization algorithm for Poisson inverse problems
Thibaut Modrzyk, Ane Etxebeste, Élie Bretin +1
In this paper, we present a novel variational plug-and-play algorithm for Poisson inverse problems. Our approach minimizes an explicit functional which is the sum of a Kullback-Lei…
Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning
Anders Austlid Taskén, Thierry Judge, Erik Andreas Rye Berg +8
Segmental longitudinal strain (SLS) of the left ventricle (LV) is an important prognostic indicator for evaluating regional LV dysfunction, in particular for diagnosing and managin…
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Theo Di Piazza, Carole Lazarus, Olivier Nempont +1
With the growing volume of CT examinations, there is an increasing demand for automated tools such as organ segmentation, abnormality detection, and report generation to support ra…
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe, Stefan Duffner, Carole Lartizien
Recently, federated learning has raised increasing interest in the medical image analysis field due to its ability to aggregate multi-center data with privacy-preserving properties…
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
Nathan Painchaud, Jérémie Stym-Popper, Pierre-Yves Courand +4
Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction or strain. These descriptors provi…
Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data
Pauline Mouches, Thibaut Dejean, Julien Jung +3
Magnetoencephalography (MEG) recordings of patients with epilepsy exhibit spikes, a typical biomarker of the pathology. Detecting those spikes allows accurate localization of brain…