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Concept

Myélite transverse

Publications associées (4)

Prediction of post-stroke motor recovery benefits from measures of sub-acute widespread network damages

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Elvira Pirondini

Rivier et al. report that global measures of brain connectivity estimated by introducing virtual lesions in healthy structural connectomes significantly increase the accuracy of motor recovery prediction in stroke patients when added to focal and clinical ...

OXFORD UNIV PRESS2023

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Reto Meuli, Tobias Kober, Meritxell Bach Cuadra, Cristina Granziera, Jonas Richiardi, Francesco La Rosa, João Pedro Forjaco Jorge

The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We describe a ...

2020

Influence of Zinc Anisotropy on Solidification Microstructures: Experimental Results and Phase-Field Simulations

Alexandre Durussel

Due to a distortion of its hexagonal unit cell along the c-axis compared to hexagonal-close-packed metals (c/a = 1.856 instead of 1.633), zinc is characterised by a large anisotropy of its solid-liquid interfacial energy. While previous studies have focuse ...

EPFL2015

Conditions for recovery of sparse signals correlated by local transforms

Pascal Frossard, Ivana Tosic

This paper addresses the problem of correct recovery of multiple sparse correlated signals using distributed thresholding. We consider the scenario where multiple sensors capture the same event, but observe different signals that are correlated by local tr ...

2009