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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
ArXiv (abs)PDFHTML

Papers citing "An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients"

2 / 2 papers shown
Title
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions
V. M. Vargas
Pedro Antonio Gutiérrez
Javier Barbero-Gómez
César Hervás-Martinez
36
0
0
17 Jul 2024
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
Imanne El Maâchi
Guillaume-Alexandre Bilodeau
W. Bouachir
151
200
0
25 Oct 2019

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