A computer-aided diagnosis of multiple sclerosis based on mfVEP recordings-Reference-Cited by-同舟云学术

A computer-aided diagnosis of multiple sclerosis based on mfVEP recordings

Published:2019-04-04 Issue:4 Volume:14 Page:e0214662
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

de Santiago Luis,Sánchez Morla E. M.,Ortiz Miguel,López Elena,Amo Usanos Carlos,Alonso-Rodríguez M. C.,Barea R.,Cavaliere-Ballesta Carlo,Fernández Alfredo,Boquete Luciano^ORCID

Funder

Agencia Estatal de Investigación

RETICS.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference62 articles.

1. Radiologically Isolated Syndrome: 5-Year Risk for an Initial Clinical Event;DT Okuda;PLoS One,2014

2. Clinically isolated syndromes suggestive of multiple sclerosis, part 2: Non-conventional MRI, recovery processes, and management;D Miller;Lancet Neurol,2005

3. Conversion from clinically isolated syndrome to multiple sclerosis: A large multicentre study;J Kuhle;Mult Scler J,2015

4. Multiple sclerosis: update in diagnosis and review of prognostic factors;JW Swanson;Mayo Clin Proc,1989

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