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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 831 à 840 sur 1123 au total

Life Sciences

Arterial spin labeling brain MRI study to evaluate the impact of deafness on cerebral perfusion in 79 children before cochlear implantation

Age at implantation is considered to be a major factor, influencing outcomes after pediatric cochlear implantation. In the absence of acoustic input, it has been proposed that cross-modal reorganization can be detrimental for adaptation to the new…

Arnaud Coez, Ludovic Fillon, Ana Saitovitch, Caroline Rutten, Sandrine Marlin, Jennifer Boisgontier, Alice Vinçon-Leite, Hervé Lemaitre, David Grévent, Charles-Joris Roux, Volodia Dangouloff-Ros, Raphaël Levy, Eric Bizaguet, Isabelle Rouillon, Eréa Noël Garabédian, Françoise Denoyelle, Monica Zilbovicius, Natalie Loundon, Nathalie Boddaert

Neuroimage-Clinical -

Computer Vision and Pattern Recognition

A Generic Bundle Adjustment Methodology for Indirect RPC Model Refinement of Satellite Imagery

This article describes a generic bundle adjustment methodology for multi-view stereo pipelines for 3D reconstruction from high-resolution optical satellite imagery. The Rational Polynomial Camera (RPC) model of each input view is refined by…

Roger Marí, Carlo de Franchis, Enric Meinhardt-Llopis, Jérémy Anger, Gabriele Facciolo

Image Processing On Line -

Psychiatrics and mental health

Online consultations in mental healthcare during the COVID-19 outbreak: An international survey study on professionals' motivations and perceived barriers

Nele A.J. de Witte, Per Carlbring, Anne Etzelmueller, Tine Nordgreen, Maria Karekla, Lise Haddouk, Angélique Belmont, Svein Øverland, Rudy Abi-Habib, Sylvie Bernaerts, Agostino Brugnera, Angelo Compare, Aranzazu Duque, David Daniel Ebert, Jonas Eimontas, Angelos Kassianos, João Salgado, Andreas Schwerdtfeger, Pia Tohme, Eva van Assche, Tom van Daele

Internet Interventions -

Machine Learning

Méthode ensemble de clustering profond

Plusieurs stratégies de classification non supervisée combinant des algorithmes de clustering classiques et les auto-encodeurs ont été étudiées. Ces stratégies améliorent généralement les performances de clustering, mais dépendent des données et des…

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Extraction et gestion des connaissances (EGC'2021), -

Numerical Analysis

ZERO: a Local JPEG Grid Origin Detector Based on the Number of DCT Zeros and its Applications in Image Forensics

This work describes a method for detecting JPEG compression as well as its grid origin. The JPEG algorithm performs a quantization of the DCT coefficients of non-overlapping 8×8 blocks of images, setting many of those coefficients to zero. The…

Tina Nikoukhah, Jérémy Anger, Miguel Colom, Jean-Michel Morel, Rafael Grompone von Gioi

Image Processing On Line -

Life Sciences

Cholinesterases in Tripartite Neuromuscular Synapse

The neuromuscular junction (NMJ) is a tripartite synapse in which not only presynaptic and post-synaptic cells participate in synaptic transmission, but also terminal Schwann cells (TSC). Acetylcholine (ACh) is the neurotransmitter that mediates the…

Konstantin Petrov, Svetlana Proskurina, Eric Krejci

Frontiers in Molecular Neuroscience -

Artificial Intelligence

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation

In this paper, we consider the problem of learning a graph structure from multivariate signals, known as graph signals. Such signals are multivariate observations carrying measurements corresponding to the nodes of an unknown graph, which we desire…

Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

Journal of Machine Learning Research -