Publications

Computer Vision and Pattern Recognition

Relative radiometric normalization using several automatically chosen reference images for multi-sensor, multi-temporal series

Abstract. We propose a method for the relative radiometric normalization of long, multi-sensor image time series. This allows to increase the revisit time under comparable conditions. Although the relative radiometric normalization is a well-studied…

C. Hessel, R. Grompone von Gioi, J. Morel, Gabriele Facciolo, P. Arias, C. de Franchis

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences - 2020

Life Sciences

Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents

Abstract Adolescence is a vulnerable time for personality development. Especially neuroticism with its link to the development of psychopathology is of interest concerning influential factors. The present study exploratorily investigates…

Simone Kühn, Anna Mascherek, Tobias Banaschewski, Arun Bokde, Christian Büchel, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sabina Millenet, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Ulman Lindenberger, Jürgen Gallinat

Scientific Reports - 2020

Life Sciences

The empirical replicability of task-based fMRI as a function of sample size

Replicating results (i.e. obtaining consistent results using a new independent dataset) is an essential part of good science. As replicability has consequences for theories derived from empirical studies, it is of utmost importance to better…

Han Bossier, Sanne Roels, Ruth Seurinck, Tobias Banaschewski, Gareth Barker, Arun Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Juliane Fröhner Dipl-Psych, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Beatrijs Moerkerke, Arun L.W. Bokde

NeuroImage - 2020

Life Sciences

Metabolic correlates of cognitive impairment in mesial temporal lobe epilepsy

The purpose of the study was to determine the correlations between brain metabolism and cognitive impairment in patients with drug-resistant mesial temporal lobe epilepsy (MTLE).

Agathe Laurent, Eric Artiges, Charles Mellerio, Magali Boutin-Watine, Elisabeth Landré, Franck Semah, Francine Chassoux

Epilepsy & Behavior - 2020

Computer Science

Improving the Recognition of Sign Language from Acquired Data by Wireless Body Area Network

Aymen Shaafi, Osman Salem, Ahmed Mehaoua

2020 IEEE Symposium on Computers and Communications (ISCC) - 2020

Computer Science

Improving Human Activity Recognition Algorithms using Wireless Body Sensors and SVM

Aymen Shaafi, Osman Salem, Ahmed Mehaoua

2020 International Wireless Communications and Mobile Computing (IWCMC) - 2020

Computer Science

Epileptic Seizures Detection based on Inertial and Physiological Data from Wireless Body Sensors

Mostafa Gheryani, Osman Salem, Ahmed Mehaoua

ICC 2020 - 2020 IEEE International Conference on Communications (ICC) - 2020

Life Sciences

Sensitivity of the Montreal Cognitive Assessment in screening for cognitive impairment in patients with newly diagnosed high-grade glioma

Introduction Cognitive impairment is frequent in patients with high-grade glioma and requires cognitive follow-up. Cognitive screening tools such as the Montreal Cognitive Assessment (MoCA) have been used to assess cognition in these patients. Here…

Monica Ribeiro, Thomas Durand, Martine Roussel, Loic Feuvret, Julian Jacob, Dimitri Psimaras, Georges Noël, Audrey Keller, Flavie Bompaire, Khe Hoang-Xuan, Marie Odile Bernier, Olivier Godefroy, Damien Ricard

Journal of Neuro-Oncology - 2020

Statistics Theory

Selective review of offline change point detection methods

Charles Truong, Laurent Oudre, Nicolas Vayatis

Signal Processing - 2020

Probability

Quantized Variational Inference

We present Quantized Variational Inference, a new algorithm for Evidence Lower Bound minimization. We show how Optimal Voronoi Tesselation produces variance free gradients for Evidence Lower Bound (ELBO) optimization at the cost of introducing…

Amir Dib

Advances in Neural Information Processing Systems (NeurIPS) - 2020