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Publications associées (29)

Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau

The PETALE experimental programme in the CROCUS reactor intends to provide integral measurements to constrain stainless steel nuclear data. This article presents the tools and the methodology developed to design and optimize the experiments, and its operat ...

2020

On some graph-based two-sample tests for high dimension, low sample size data

Soham Sarkar

Testing for equality of two high-dimensional distributions is a challenging problem, and this becomes even more challenging when the sample size is small. Over the last few decades, several graph-based two-sample tests have been proposed in the literature, ...

SPRINGER2020

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Dimitri Nestor Alice Van De Ville, Sandra Elisabete Monney, Olivier Benoit Thomas Reynaud, Domenica Bueti

Introduction Modern imaging techniques such as blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) allow the non-invasive and indirect measurement of brain activity. Whether changes in signal intensity can be detected in small ...

2020

Adaptive learning for disruption prediction in non-stationary conditions

Yiming Li, Olivier Sauter, Richard Pitts, Ambrogio Fasoli, Basil Duval, Henri Weisen, Jan Horacek, Javier García Hernández, Duccio Testa, Marco Wischmeier, Nicola Vianello, Mikhail Maslov, Patrick Blanchard, Alessandro Pau, Davide Galassi, Federico Alberto Alfredo Felici, Antonio José Pereira de Figueiredo, Cristian Sommariva, Samuel Lanthaler, Yann Camenen, Jonathan Graves, Emiliano Fable, Francesca Maria Poli, Antoine Pierre Emmanuel Alexis Merle, Federico Nespoli, Daniele Brunetti, Anna Teplukhina, Hamish William Patten, Haomin Sun, Alberto Mariani, Michele Marin

For many years, machine learning tools have proved to be very powerful disruption predictors in tokamaks. On the other hand, the vast majority of the techniques deployed assume that the input data is independent and is sampled from exactly the same probabi ...

IOP Publishing Ltd2019

Quantitative brain relaxation atlases for personalized detection and characterization of brain pathology

Jean-Philippe Thiran, Reto Meuli, Tobias Kober, Cristina Granziera, Tom Hilbert, Guillaume Bonnier, Gian Franco Piredda

Purpose To exploit the improved comparability and hardware independency of quantitative MRI, databases of MR physical parameters in healthy tissue are required, to which tissue properties of patients can be compared. In this work, normative values for long ...

WILEY2020

Drone Shadow Tracking

Sabine Süsstrunk, Majed El Helou, Ruofan Zhou

Aerial videos taken by a drone not too far above the surface may contain the drone's shadow projected on the scene. This deteriorates the aesthetic quality of videos. With the presence of other shadows, shadow removal cannot be directly applied, and the sh ...

2019

Comparative analysis of transmittance measurement geometries and apparatus

Sabine Süsstrunk, Marjan Shahpaski

The accurate measurement of reflectance and transmittance properties of materials is essential in the printing and display industries in order to ensure precise color reproduction. In comparison with reflectance measurement, where the impact of different g ...

2019

Pretherapeutic resting-state fMRI profiles are associated with MR signature volumes after stereotactic radiosurgical thalamotomy for essential tremor

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Meritxell Bach Cuadra, Constantin Tuleasca, Thomas William Arthur Bolton, Adrien Jean Régis Maurice Hilaire

OBJECTIVE Essential tremor (ET) is the most common movement disorder. Drug-resistant ET can benefit from standard stereotactic deep brain stimulation or radiofrequency thalamotomy or, alternatively, minimally invasive techniques, including stereotactic rad ...

AMER ASSOC NEUROLOGICAL SURGEONS2018

Topics in Educational Cyber-Physical Labs : Configurations, Data Collection and Analysis

Wissam Halimi

Recent advances in remote sensing and actuation technologies, coupled with the large reach of the internet, allowed for the emergence of applications such as cyber-physical labs. Cyber-physical labs are the digital and remotely-accessible equivalent of the ...

EPFL2018