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Deep 1D-Convnet for accurate Parkinson disease detection and severity
  prediction from gait

Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait

25 October 2019
Imanne El Maâchi
Guillaume-Alexandre Bilodeau
W. Bouachir
ArXivPDFHTML

Papers citing "Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait"

3 / 3 papers shown
Title
SincPD: An Explainable Method based on Sinc Filters to Diagnose Parkinson's Disease Severity by Gait Cycle Analysis
SincPD: An Explainable Method based on Sinc Filters to Diagnose Parkinson's Disease Severity by Gait Cycle Analysis
Armin Salimi-Badr
Mahan Veisi
Sadra Berangi
43
0
0
10 Feb 2025
Determining the severity of Parkinson's disease in patients using a
  multi task neural network
Determining the severity of Parkinson's disease in patients using a multi task neural network
María Teresa García-Ordás
J. Benítez-Andrades
José Aveleira-Mata
José-Manuel Alija-Pérez
Carmen Benavides
19
13
0
08 Feb 2024
An ordinal CNN approach for the assessment of neurological damage in
  Parkinson's disease patients
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
Javier Barbero-Gómez
Pedro Antonio Gutiérrez
V. M. Vargas
J. Vallejo-Casas
César Hervás-Martinez
13
25
0
31 May 2021
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