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Ana María Maitín López
Ana María Maitín López
Universidad Francisco de Vitoria
Verified email at ceiec.es
Title
Cited by
Cited by
Year
Machine Learning Approaches for Detecting Parkinson’s Disease from EEG Analysis: A Systematic Review
AM Maitín, AJ García-Tejedor, JPR Muñoz
Applied Sciences 10 (23), 8662, 2020
402020
Wearable Technology to Detect Motor Fluctuations in Parkinson’s Disease Patients: Current State and Challenges
M Barrachina-Fernández, AM Maitín, C Sánchez-Ávila, JP Romero
Sensors 21 (12), 4188, 2021
282021
Survey of Machine Learning Techniques in the Analysis of EEG Signals for Parkinson’s Disease: A Systematic Review
AM Maitin, JP Romero Muñoz, ÁJ García-Tejedor
Applied Sciences 12 (14), 6967, 2022
222022
EEGraph: An open-source Python library for modeling electroencephalograms using graphs
AM Maitin, A Nogales, P Chazarra, ÁJ García-Tejedor
Neurocomputing 519, 127-134, 2023
52023
BERT Learns From Electroencephalograms About Parkinson’s Disease: Transformer-Based Models for Aid Diagnosis
A Nogales, ÁJ García-Tejedor, AM Maitín, A Pérez-Morales, ...
IEEE Access 10, 101672-101682, 2022
42022
Time series analysis applied to EEG shows increased global connectivity during motor activation detected in pd patients compared to controls
AM Maitín, R Perezzan, D Herráez-Aguilar, JI Serrano, MD Del Castillo, ...
Applied Sciences 11 (1), 15, 2020
42020
Best Practices to Train Accurate Deep Learning Models: A General Methodology
A Moyano, A Maitín, ÁJ García-Tejedor
Preprints, 2024
2024
Automatic Virtual Reconstruction of Historic Buildings Through Deep Learning. A Critical Analysis of a Paradigm Shift
E Delgado-Martos, L Carlevaris, GI Sidola, C Pesqueira-Calvo, A Nogales, ...
Beyond Digital Representation: Advanced Experiences in AR and AI for …, 2023
2023
Biomarker based on natural language processing methods to detect the stages of Parkinson's disease through electroencephalography
A Maitin, J Morales, S Romero-Azpitarte, J Romero, A Arroyo Ferrer, ...
MOVEMENT DISORDERS 37, S53-S53, 2022
2022
Time Series Analysis Applied to EEG Shows Increased Global Connectivity During Motor Activation in PD Patients Compared to Controls
D Herraez, A Maitin, R Perezzan, MD Castillo, IJ Serrano, A Arroyo, ...
MOVEMENT DISORDERS 35, S300-S302, 2020
2020
Application of Deep Neuronal Networks for the extraction of spectral characteristics in patients with Parkinson's disease
A Maitin, A Garcia-Tejedor, M Castillo, I Serrano, E Rocon, A Arroyo, ...
MOVEMENT DISORDERS 35, S305-S305, 2020
2020
Influence of spatial filtering on EEG signal stochasticity measurements in Parkinson's Disease
D Herraez-Aguilar, A Maitin, R Perezzan, D Del Castillo, I Serrano, ...
MOVEMENT DISORDERS 34, S360-S361, 2019
2019
Phase-space dynamics of minimal Canham-Helfrich cells
AM Maitin, F Monroy
arXiv preprint arXiv:1810.13374, 2018
2018
Application of Large Language Models in Clinical Record Correction: A Comprehensive Study on Various Retraining Methods
AM Maitin, A Nogales, E Aranguren, S Fernández-Rincón, ...
Available at SSRN 4772540, 0
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