Publications

Biophysics

Single-molecule fluorescence microscopy study of the messenger RNA scanning kinetics by the ribosome

Véronique Vienne, Antonin Tidu, Charles Truong, François Marquier, Olivier Namy, Franck Martin, Karen Perronet

Physics and Biological Systems 2022 - 2022

Neuroscience

A New Sensitive Test Using Virtual Reality and Foam to Probe Postural Control in Vestibular Patients: The Unilateral Schwannoma Model

Vestibular schwannomas (VS) are benign tumors of the vestibular nerve that may trigger hearing loss, tinnitus, rotatory vertigo, and dizziness in patients. Vestibular and auditory tests can determine the precise degree of impairment of the auditory…

Grâce Oussou, Christophe Magnani, Ioannis Bargiotas, Georges Lamas, Frederic Tankere, Catherine Vidal

Frontiers in Neurology - 2022

Statistics

Processus de rang et applications statistiques en grande dimension

This research project aims at developing mathematical and algorithmic tools to study and evaluate the level of similarity between two complex datasets in high-dimension: vectors, multivariate signals, trajectories, signals on graphs. It answers…

Myrto Limnios

Bioengineering

Efficacy of LED Photobiomodulation for Functional and Axonal Regeneration After Facial Nerve Section-Suture

Facial nerve damage can lead to partial or total facial nerve palsy. Photobiomodulation has been reported to improve and accelerate functional recovery following peripheral nerve lesion, depending on the type of lesion and the light exposure…

Hafsa Er-Rouassi, Luc Benichou, Badiaa Lyoussi, Catherine Vidal

Frontiers in Neurology - 2022

Computer Science

Power Attributed Graph Embedding and Clustering

Representation learning is a central problem of Attributed Networks data analysis in a variety of fields. Given an attributed graph, the objectives are to obtain a representation of nodes and a partition of the set of nodes. Usually these two…

Lazhar Labiod, Mohamed Nadif

IEEE Transactions on Neural Networks and Learning Systems - 2022

Mathematics

Measurement of Bridge Vibration by UAVs Combined with CNN and KLT Optical-Flow Method

A measurement method of bridge vibration by unmanned aerial vehicles (UAVs) combined with convolutional neural networks (CNNs) and Kanade-Lucas-Tomasi (KLT) optical-flow method is proposed. In this method, the stationary reference points in the…

Zhaocheng Yan, Zihan Jin, Shuai Teng, Gongfa Chen, David Bassir

Applied Sciences - 2022

Computer Science

Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe

Nous proposons un modèle pour l'apprentissage simultané de la représentation et le partitionnement (ou clustering) de graphes attribués. Basé sur un simple réseau convolutif sur graphe, notre modèle effectue le clustering en minimisant la différence…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

Extraction et Gestion des Connaissances - 2022

Bioengineering

Assessing Smoothness of Arm Movements With Jerk: A Comparison of Laterality, Contraction Mode and Plane of Elevation. A Pilot Study

Measuring the quality of movement is a need and a challenge for clinicians. Jerk, defined as the quantity of acceleration variation, is a kinematic parameter used to assess the smoothness of movement. We aimed to assess and compare jerk metrics in…

Alexandra Roren, Antoine Mazarguil, Diego Vaquero-Ramos, Jean-Baptiste Deloose, Pierre-Paul Vidal, Christelle Nguyen, François Rannou, Danping Wang, Laurent Oudre, Marie-Martine Lefèvre-Colau

Frontiers in Bioengineering and Biotechnology - 2022

Machine Learning

TensorClus: A python library for tensor (Co)-clustering

Tensor data analysis is the evolutionary step of data analysis to more than two dimensions. Dealing with tensor data is often based on tensor decomposition methods. The present paper focuses on unsupervised learning and provides a python package…

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Neurocomputing - 2022

Signal and Image processing

An Uncertainty Principle for Lowband Graph Signals

In this article, we introduce a novel lower bound on the support size of lowband graph signals. This result allows the deduction of an optimality criterion for the lowband and sparse decomposition of any graph signal, establishing the uniqueness of…

Antoine Mazarguil, Laurent Oudre, Nicolas Vayatis

IEEE Signal Processing Letters - 2022