Showing results (31-40 of 53) with videos related to

Sort By:
Pageof 6
Neuroimage|October 7, 2003
Predominant ventromedial frontopolar metabolic impairment in frontotemporal dementiaEric Salmon, Gaëtan Garraux, Xavier Delbeuck, et al.
Sensors (Basel, Switzerland)|February 26, 2025
Toward Convenient and Accurate IMU-Based Gait AnalysisMohamed Boutaayamou, Doriane Pelzer, Cédric Schwartz, et al.
Neuroimage. Clinical|June 18, 2014
Biased binomial assessment of cross-validated estimation of classification accuracies illustrated in diagnosis predictionsQuentin Noirhomme, Damien Lesenfants, Francisco Gomez, et al.
Electrophoresis|August 30, 2018
Separation and determination of alpha-synuclein monomeric and oligomeric species using two electrophoretic approachesAurore Napp, Virginie Houbart, Alice Demelenne, et al.
Experimental Gerontology|September 15, 2019
Using supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal studySophie Gillain, Mohamed Boutaayamou, Cedric Schwartz, et al.
Neuroimage. Clinical|November 2, 2013
Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromesGaëtan Garraux, Christophe Phillips, Jessica Schrouff, et al.
NPJ Parkinson'S Disease|July 9, 2021
Parkinson's disease multimodal imaging: F-DOPA PET, neuromelanin-sensitive and quantitative iron-sensitive MRIFrédérique Depierreux, Eric Parmentier, Laurane Mackels, et al.
Aging Clinical and Experimental Research|May 10, 2019
Gait symmetry in the dual task condition as a predictor of future falls among independent older adults: a 2-year longitudinal studySophie Gillain, Mohamed Boutaayamou, Cedric Schwartz, et al.
Medical Engineering & Physics|January 26, 2015
Development and validation of an accelerometer-based method for quantifying gait eventsMohamed Boutaayamou, Cédric Schwartz, Julien Stamatakis, et al.
Pageof 6