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Publications

Affichage des publications 341 à 350 sur 1098 au total

Santé publique et épidémiologie

RADIO-AIDE : une modélisation spatio-temporelle des effets secondaires cognitifs observés dans les suites de la radiothérapie cérébrale

Introduction et but de l’étude La radiothérapie est un traitement majeur des tumeurs du système nerveux central. L’altération des fonctions cognitives, fréquemment observée dans les suites d’une radiothérapie cérébrale, peut être en rapport avec la…

Julian Jacob, Sarah Amrani Joutei, Monica Ribeiro, Georges Noël, Florence Forbes, Michel Dojat, Marie-Odile Bernier, Cecilia Damon, Alan Tucholka, Catherine Jenny, Alice Bressand, Philippe Maingon, Lucia Nichelli, Nadya Pyatigorskaya, Alice Thomas-Joulié, Dimitri Psimaras, Khe Hoang-Xuan, Cyrus Chargari, Jean-Marc Simon, Sophie Ancelet, Damien Ricard

34ème congrès de la SFRO -

Neural and Evolutionary Computing

An in-depth study of the deep learning pipeline

Despite the tremendous success of neural networks in many applications, progress in understanding their performance and limits is slow. While universal approximation theorems bring the promise of machines capable of approximating any complex mapping…

Adrien Courtois

Mathematics

Functional inequalities and strong Lyapunov functionals for free surface flows in fluid dynamics

This paper is motivated by the study of Lyapunov functionals for four equations describing free surface flows in fluid dynamics: the Hele-Shaw and Mullins-Sekerka equations together with their lubrication approximations, the Boussinesq and thin-film…

Thomas Alazard, Didier Bresch

Interfaces and Free Boundaries : Mathematical Analysis, Computation and Applications -

Life Sciences

Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram

Background Quantifying gait using inertial measurement units has gained increasing interest in recent years. Highly degraded gaits, especially in neurological impaired patients, challenge gait detection algorithms and require specific segmentation…

Cyril Voisard, Nicolas de l'Escalopier, Aliénor Vienne-Jumeau, Albane Moreau, Flavien Quijoux, Flavie Bompaire, Magali Sallansonnet, Marie-Laure Brechemier, Irina Taifas, Camille Tafani, Eve Drouard, Nicolas Vayatis, Damien Ricard, Laurent Oudre

Frontiers in Neurology -

Life Sciences

A Machine Learning Pipeline for Gait Analysis in a Semi Free-Living Environment

This paper presents a novel approach to creating a graphical summary of a subject's activity during a protocol in a Semi Free-Living Environment. Thanks to this new visualization, human behavior, in particular locomotion, can now be condensed into…

Sylvain Jung, Nicolas de l'Escalopier, Laurent Oudre, Charles Truong, Eric Dorveaux, Louis Gorintin, Damien Ricard

Sensors -

Engineering Sciences

Predicting Models for Local Sedimentary Basin Effect Using a Convolutional Neural Network

Although the numerical models can estimate the significant influence of local site conditions on the seismic propagation characteristics near the surface in many studies, they cannot feasibly predict the seismic ground motion amplification in…

Xiaomei Yang, Miao Hu, Xin Chen, Shuai Teng, Gongfa Chen, David Bassir

Applied Sciences -