10 citations
- Université Paris CitéFR4 papers
- InsermFR3 papers
- Sorbonne UniversitéFR3 papers
- Assistance Publique – Hôpitaux de ParisFR2 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- École PolytechniqueFR2 papers
- Institut du CerveauFR2 papers
- Air Liquide (France)FR1 paper
- Allen Institute for Brain ScienceUS1 paper
- Ara Institute of CanterburyNZ1 paper
- Center for MathematicaL studies and their ApplicationsFR1 paper
6 papers
The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials
Sophie Quennelle, Maxime Douillet, Lisa Friedlander +4
In medical research, the traditional way to collect data, i.e. browsing patient files, has been proven to induce bias, errors, human labor and costs. We propose a semi-automated sy…
Variational Inference for Longitudinal Data Using Normalizing Flows
Clément Chadebec, Stéphanie Allassonnière
This paper introduces a new latent variable generative model able to handle high dimensional longitudinal data and relying on variational inference. The time dependency between the…
Optimisation des parcours patients pour lutter contre l'errance de diagnostic des patients atteints de maladies rares
Frédéric Logé, Rémi Besson, Stéphanie Allassonnière
A patient suffering from a rare disease in France has to wait an average of two years before being diagnosed. This medical wandering is highly detrimental both for the health syste…
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects
Igor Koval, Stéphanie Allassonnière, Stanley Durrleman
The ability to predict the progression of biomarkers, notably in NDD, is limited by the size of the longitudinal data sets, in terms of number of patients, number of visits per pat…
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier +4
We introduce a mixed-effects model to learn spatiotempo-ral patterns on a network by considering longitudinal measures distributed on a fixed graph. The data come from repeated obs…
Inconsistency of Template Estimation by Minimizing of the Variance/Pre-Variance in the Quotient Space
Loïc Devilliers, Stéphanie Allassonnière, Alain Trouvé +1
We tackle the problem of template estimation when data have been randomly deformed under a group action in the presence of noise. In order to estimate the template, one often minim…