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Publications

Affichage des publications 51 à 60 sur 1068 au total

Human health and pathology

Assessment of the depth of anesthesia with hidden Markov model based on cardiopulmonary variables

Background Precise monitoring of the Depth of Anesthesia (DoA) is essential to prevent intra-operative awareness (in case of underdosage) or increased post-operative morbi-mortality (in case of overdosage). The recording of a high- frequency…

Gaël de Rocquigny, Clément Dubost, Pierre Humbert, Laurent Oudre, Christophe Labourdette, Nicolas Vayatis, Jean-Pierre Tourtier, Pierre-Paul Vidal

Frontiers in Anesthesiology -

Signal and Image processing

Automatic gait events detection with inertial measurement units: healthy subjects and moderate to severe impaired patients

Abstract Background Recently, the use of inertial measurement units (IMUs) in quantitative gait analysis has been widely developed in clinical practice. Numerous methods have been developed for the automatic detection of gait events (GEs). While…

Cyril Voisard, Nicolas de L’escalopier, Damien Ricard, Laurent Oudre

Journal of NeuroEngineering and Rehabilitation -

Computer Vision and Pattern Recognition

MaskSim: Detection of synthetic images by masked spectrum similarity analysis

Synthetic image generation methods have recently revolutionized the way in which visual content is created. This opens up creative opportunities but also presents challenges in preventing misinformation and crime. However, these methods leave traces…

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

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) -

Mathematics

Iteratively Reweighted Least Squares for Phase Unwrapping

The 2D phase unwrapping problem seeks to recover a phase image from its observation modulo 2$\pi$, and is a crucial step in a variety of imaging applications. In particular, it is one of the most time-consuming steps in the interferometric synthetic…

Benjamin Dubois-Taine, Roland Akiki, Alexandre d'Aspremont

Optimization and Control

Constrained Approximate Optimal Transport Maps

We investigate finding a map g within a function class G that minimises an Optimal Transport (OT) cost between a target measure ν and the image by g of a source measure µ. This is relevant when an OT map from µ to ν does not exist or does not…

Eloi Tanguy, Agnès Desolneux, Julie Delon

Statistics

Subspace clustering sur données incomplètes par imputation multiple

Nous nous intéressons à la classification non supervisée en grande dimension en présence d'observations incomplètes. Nous proposons une approche d'imputation multiple avec comme modèle d'analyse la méthode Reduced KMeans de subspace clustering. L…

Yasmine Agliz, Vincent Audigier, Mohamed Nadif, Ndèye Niang

29èmes Rencontres de la Société Francophone de Classification -

Numerical Analysis

Repulsive Shells

This paper develops a shape space framework for collision-aware geometric modeling, where basic geometric operations automatically avoid inter-penetration. Shape spaces are a powerful tool for surface modeling, shape analysis, nonrigid motion…

Josua Sassen, Henrik Schumacher, Martin Rumpf, Keenan Crane

ACM Transactions on Graphics -

Biomechanics

Some mathematical models for flagellar activation mechanisms

This paper focuses on studying a model for molecular motors responsible for the bending of the axoneme in the flagella of microorganisms. The model is a coupled system of partial differential equations inspired by Jülicher et al. or Camalet,…

François Alouges, Irene Anello, Antonio Desimone, Aline Lefebvre-Lepot, Jessie Levillain