Juan Manuel
Miguel Jiménez
Profesor/a Titular Universidad
Eva María
Sánchez Morla
Eva María Sánchez Morla-rekin lankidetzan egindako argitalpenak (13)
2024
-
Diagnosis of multiple sclerosis using optical coherence tomography supported by explainable artificial intelligence
Eye (Basingstoke), Vol. 38, Núm. 8, pp. 1502-1508
2023
-
Diagnosis of multiple sclerosis using optical coherence tomography supported by artificial intelligence
Multiple Sclerosis and Related Disorders, Vol. 74
-
Differential Study of Retinal Thicknesses in the Eyes of Alzheimer’s Patients, Multiple Sclerosis Patients and Healthy Subjects
Biomedicines, Vol. 11, Núm. 12
2022
-
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
-
Automatic diagnosis of bipolar disorder using optical coherence tomography data and artificial intelligence
Journal of Personalized Medicine, Vol. 11, Núm. 8
2019
-
Computer-aided diagnosis of multiple sclerosis using a support vector machine and optical coherence tomography features
Sensors (Switzerland), Vol. 19, Núm. 23
2018
2016
-
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
-
A new method for quantifying mfVEP signal intensity in multiple sclerosis
Biomedical Signal Processing and Control, Vol. 22, pp. 119-125
-
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
-
Filtering multifocal VEP signals using Prony's method
Computers in Biology and Medicine, Vol. 56, pp. 13-19
2014
-
Improved measurement of intersession latency in mfVEPs
Documenta Ophthalmologica, Vol. 129, Núm. 1, pp. 65-69
-
Pronyś method for the analysis of mFVEP signals
IFMBE Proceedings