Publications

Life Sciences

Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database

Background: Hyperammonaemia is frequent in Intensive Care Unit patients. Some drugs have been described as associated with this condition, but there are no large-scale studies investigating this topic and most descriptions only consist of case…

Alexander Balcerac, Kevin Bihan, Bénédicte Lebrun-Vignes, Dominique Thabut, Joe-Elie Salem, Nicolas Weiss

Annals of Intensive Care - 2022

Life Sciences

Evaluation methods to assess the e cacy of equinovarus foot surgery on the gait of post-stroke hemiplegic patients: A literature review

Evaluation methods to assess the e cacy of equinovarus foot surgery on the gait of post-stroke hemiplegic patients: A literature review.

Nicolas de L’escalopier, Cyril Voisard, Mona Michaud, Albane Moreau, Sylvain Jung, Brian Tervil, Nicolas Vayatis, Laurent Oudre, Damien Ricard

Frontiers in Neurology - 2022

Sensory Organs

From monocular photograph to angle lambda: A new clinical approach for quantitative assessment

Angle lambda assessment is essential in pediatric and strabismus practice. An abnormal angle lambda will modify the visual appearance of a strabismus or mimic one. Currently, angle lambda can be assessed by corneal topographs. Unfortunately, the use…

Maxence Rateaux, Dominique Bremond-Gignac, Matthieu Robert

Journal of Binocular Vision and Ocular Motility - 2022

Statistics

Méthodes d'apprentissage automatique appliquées à l'analyse des signaux d'utilisations des grands calculateurs

The aim of this thesis is to determine what statistical methods can currently be used to improve the understanding of the use of a computing center. We decompose the computer into three parts : hardware, software and users in order to identify three…

Théo Saillant

Embedded Systems

Elderly monitoring using decision trees under domain shifts and computational resource constraints

Tarkett is a global flooring company that developed a piezo-electric sensor encapsulated in the flooring and an embedded system meant to be equipped in nursing home patient rooms. The objective through this industrial project is to build reliable…

Mounir Atiq

General Mathematics

Débruitage et dématriçage concret de videos avec des réseaux de neurones

Image denoising is a fundamental task in image processing. The goal of denoising is to recover the underlying signal. Several methods have been proposed. They can be classified in 2: the model-based approaches and the data-driven methods. Model…

Valéry Dewil

Santé publique et épidémiologie

Symptoms of Depression and Anxiety in Adults with High-Grade Glioma: A Literature Review and Findings in a Group of Patients before Chemoradiotherapy and One Year Later

High-grade glioma (HGG) is associated with several external and internal stressors that may induce mood alterations at all stages of the disease. Symptoms of depression and anxiety in persons with glioma have multifactorial etiology and require…

Monica Ribeiro, Mohamed Amine Benadjaoud, Laura Moisy, Julian Jacob, Loïc Feuvret, Alexander Balcerac, Marie-Odile Bernier, Dimitri Psimaras, Khê Hoang-Xuan, Georges Noel, Nathalie Jouniaux-Delbez, Damien Ricard

Cancers - 2022

Mathematics

Revenue-Maximizing Auctions: A Bidder’s Standpoint

A vast part of the Internet economy is powered by advertising, much of which is sold at auction. A key question for sellers is how to optimize the auction mechanism they use. Bidders, conversely, try to optimize their bidding strategy. Incentive…

Thomas Nedelec, Clément Calauzènes, Vianney Perchet, Noureddine El Karoui

Operations Research - 2022

Signal and Image processing

Video Signal-Dependent Noise Estimation via Inter-Frame Prediction

We propose a block-based signal-dependent noise estimation method on videos, that leverages inter-frame redundancy to separate noise from signal. Block matching is applied to find block pairs between two consecutive frames with similar signal. Then…

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel

2022 IEEE International Conference on Image Processing (ICIP) - 2022

Machine Learning

Classification non-supervisée de documents à partir des modèles Transformeurs

Pre-trained Transformer-based word embeddings are now widely used in text mining where they are known to significantly improve supervised tasks such as text classification, named entity recognition and question answering. Since the Transformer…

Mira Ait-Saada, François Role, Mohamed Nadif

Revue des Nouvelles Technologies de l'Information, Extraction et Gestion des Connaissances, RNTI-E-38 - 2022