Publicaciones en las que colabora con Juan Manuel Miguel Jiménez (13)

2024

  1. Diagnosis of multiple sclerosis using optical coherence tomography supported by explainable artificial intelligence

    Eye (Basingstoke)

2023

  1. Diagnosis of multiple sclerosis using optical coherence tomography supported by artificial intelligence

    Multiple Sclerosis and Related Disorders, Vol. 74

  2. Differential Study of Retinal Thicknesses in the Eyes of Alzheimer’s Patients, Multiple Sclerosis Patients and Healthy Subjects

    Biomedicines, Vol. 11, Núm. 12

2022

  1. Objective diagnosis of fibromyalgia using neuroretinal evaluation and artificial intelligence

    International journal of clinical and health psychology, Vol. 22, Núm. 2, pp. 31-40

2021

  1. Automatic diagnosis of bipolar disorder using optical coherence tomography data and artificial intelligence

    Journal of Personalized Medicine, Vol. 11, Núm. 8

2019

  1. Computer-aided diagnosis of multiple sclerosis using a support vector machine and optical coherence tomography features

    Sensors (Switzerland), Vol. 19, Núm. 23

2018

  1. Empirical mode decomposition processing to improve multifocal-visual-evoked-potential signal analysis in multiple sclerosis

    PLoS ONE, Vol. 13, Núm. 4

2016

  1. A signal-to-noise-ratio-based analysis of multifocal visual-evoked potentials in multiple sclerosis risk assessment

    Clinical Neurophysiology, Vol. 127, Núm. 2, pp. 1574-1580

2015

  1. A new method for quantifying mfVEP signal intensity in multiple sclerosis

    Biomedical Signal Processing and Control, Vol. 22, pp. 119-125

  2. Continuous-wavelet-transform analysis of the multifocal ERG waveform in glaucoma diagnosis

    Medical and Biological Engineering and Computing, Vol. 53, Núm. 9, pp. 771-780

  3. Filtering multifocal VEP signals using Prony's method

    Computers in Biology and Medicine, Vol. 56, pp. 13-19

2014

  1. Improved measurement of intersession latency in mfVEPs

    Documenta Ophthalmologica, Vol. 129, Núm. 1, pp. 65-69

  2. Pronyś method for the analysis of mFVEP signals

    IFMBE Proceedings