Universidad de Alcalá-ko ikertzaileekin lankidetzan egindako argitalpenak (24)

2024

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

    Eye (Basingstoke), Vol. 38, Núm. 8, pp. 1502-1508

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. Early diagnosis of multiple sclerosis using swept-source optical coherence tomography and convolutional neural networks trained with data augmentation

    Sensors, Vol. 22, Núm. 1

  2. 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

  2. Early diagnosis of multiple sclerosis by OCT analysis using Cohen's d method and a neural network as classifier

    Computers in Biology and Medicine, Vol. 129

2020

  1. Identification of clusters in multifocal electrophysiology recordings to maximize discriminant capacity (patients vs. control subjects)

    Documenta Ophthalmologica, Vol. 140, Núm. 1, pp. 43-53

2019

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

    PLoS ONE, Vol. 14, Núm. 4

  2. 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

2017

  1. Emotion processing and psychosocial functioning in euthymic bipolar disorder

    Acta Psychiatrica Scandinavica, Vol. 135, Núm. 4, pp. 339-350

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

  2. Prepulse inhibition in euthymic bipolar disorder patients in comparison with control subjects

    Acta Psychiatrica Scandinavica, Vol. 134, Núm. 4, pp. 350-359

2015

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

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

  2. A new method for removal of powerline interference in ECG and EEG recordings

    Computers and Electrical Engineering, Vol. 45, pp. 235-248

  3. 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

  4. Eye movement artefact suppression using Volterra filter for electroencephalography signals

    Journal of Medical and Biological Engineering, Vol. 35, Núm. 3, pp. 395-405

  5. Filtering multifocal VEP signals using Prony's method

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

2014

  1. A five-year follow-up study of neurocognitive functioning in bipolar disorder

    Bipolar Disorders, Vol. 16, Núm. 7, pp. 722-731