Retrouvez les dernières publications de nos chercheurs…

Filtrer par
1 2
Juan Mantilla . Danping Wang . Ioannis Bargiotas . Junhong Wang . Jiuwen Cao . Laurent Oudre . Pierre-Paul Vidal.

Motor style at rest and during locomotion in human

Humans exhibit various motor styles that reflect their intra and inter-individual variability when implementing sensorimotor transformations. This opens important questions; such as, at what point should they be readjusted to maintain optimal motor control? Do changes in motor style reveal the onset of a pathological process and can these changes help rehabilitation and recovery ? Joural of Neurophysiology, 22 Apr 2020. DOI: 10.1152/jn.00019.2019

Exporter la référence : JNS
En savoir plus
Clément Lalanne . Maxence Rateaux . Laurent Oudre . Matthieu P. Robert . Thomas Moreau

Extraction of Nystagmus patterns from eye-tracker data with Convolutional Sparse Coding

The analysis of the Nystagmus waveforms from eye-tracking records is crucial for the clinical interpretation of this pathological movement... We propose a method based on Convolutional Dictionary Learning that is able to automatically highlight the Nystagmus wave forms, separating the natural motion from the pathological movements. 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, Virtual Montreal July 20-24, 2020.

Exporter la référence : EMBC 2020 Conference EMBC___Oculo
En savoir plus
Pierre Humbert . Julien Audiffren . Laurent Oudre . Nicolas Vayatis

Low rank activations for tensor-based Convolutional Sparse Coding

In this article, we propose to extend the classical Convolutional Sparse Coding model (CSC) to multivariate data by introducing a new tensor CSC model that enforces sparsity and low-rank constraint on the activations. ICASSP 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)- Virtual Barcelona, 4-8 Mai 2020. DOI: 10.1109/ICASSP40776.2020.9053402

Exporter la référence : ICASSP 2020 Conference HAOV-ICASSP-20
En savoir plus
Yves François Meyer

From Salomon Bochner to Dan Shechtman

Yves Meyer (prix Gauss 2010, Prix Abel 2017) revient sur l'aventure des quasi-crystaux dans une mise en perspective historique en forme d'hommage à certains de ses pairs ou confrères, revisitant au passage ses propres recherches. Transactions of the Royal Norwegian Society of Sciences and Letters, 2020(1), 1–22.

En savoir plus
Aliénor Vienne-Jumeau . Laurent Oudre . Albane Moreau . Flavien Quijoux . Sébastien Edmond . Mélanie Dandrieux . Eva Legendre. Pierre-Paul Vidal . Damien Ricard

Personalized template-based step detection from inertial measurement units signals in multiple sclerosis

Objective gait assessment is key for the follow-up of patients with progressive multiple sclerosis (pMS). Inertial measurement units (IMUs) provide reliable and yet easy quantitative gait assessment in routine clinical settings... Our personalized step-detection method has high performance for detecting steps in pMS individuals with severely altered gait. The algorithm can be self-evaluating with the SI, which gives a measure of the confidence the clinician can have in the detection. What is more, the SId (similarity index) can be used as a biomarker of change in disease severity occurring between the two measurement times. Frontiers in Neurology, 2020. DOI: 10.3389/fneur.2020.00261

En savoir plus
Tristan Dot . Flavien Quijoux . Laurent Oudre . Aliénor Vienne-Jumeau . Albane Moreau . Pierre-Paul Vidal . Damien Ricard

Non-linear template-based approach for the study of locomotion

The automatic detection of gait events (i.e., Initial Contact (IC) and Final Contact (FC)) is crucial for the characterisation of gait from Inertial Measurements Units. In this article, we present a method for detecting steps (i.e., IC and FC) from signals of gait sequences of individuals recorded with a gyrometer. The proposed approach combines the use of a dictionary of templates and a Dynamic Time Warping (DTW) measure of fit to retrieve these templates into input signals... This study paves the way for new step detection methods: it shows that using one single template associated with non-linear deformations may be sufficient to model the gait of healthy subjects. Sensors, 20(7):1939, 2020. DOI: 10.3390/s20071939

Exporter la référence : Lire l'article...
En savoir plus
Katrina L. Grasby . Neda Jahanshad . [et al.]

The genetic architecture of the human cerebral cortex

L'équipe du Centre Borelli / INSERM UA10 "Trajectoires développementales & Psychiatrie" a contribué par ses données et pour 5 des co-auteurs à cet article paru le 20 mars 2020 dans le N°367 de la revue Science. DOI: 10.1126/science.aay6690

Exporter la référence : Lien vers l'abstract . PDF sur demande
En savoir plus
François Inizan . Myriam Hanna . Maxim Stolyarchuk . Isaure Chauvot de Beauchêne . Luba Tchertanov

The first 3D model of the full-length KIT cytoplasmic domain reveals a new look for an old receptor

Cet article est également un hommage à François Inizan, brillant étudiant trop tôt disparu. Receptor tyrosine kinases (RTKs) are key regulators of normal cellular processes and have a critical role in the development and progression of many diseases. We communicate the first structural model of the full-length RTK KIT cytoplasmic domain, a crucial target for cancer therapy. Nature Scientific Reports 10(5401) 2020. DOI: 10.1038/s41598-020-62460-7

Exporter la référence : LIre l'article...
En savoir plus
Axel Davy . Thibaud Ehret

GPU acceleration of NL-means, BM3D and VBM3D

Denoising is an essential part of any image- or video-processing pipeline. Unfortunately, due to time-processing constraints, many pipelines do not consider the use of modern denoisers. These algorithms have only CPU implementations or suboptimal GPU implementations. We propose a new efficient GPU implementation of NL-means and BM3D, and, to our knowledge, the first GPU implementation of the video-denoising algorithm VBM3D. The performance of these implementations enable their use in real-time scenarios.

En savoir plus
Centre Borelli (CMLA Images) . Jean-Michel Morel

IPOL Image Processing On Line

IPOL est un journal en ligne 100% libre (open access, open code) qui renouvelle les modèles de publications en sciences appliquées en mettant en oeuvre le concept de Recherche Reproductible.

Exporter la référence : IPOL Journal . Image Processing On Line
En savoir plus
1 2