Listar por autor "Castillo-Barnes, Diego"
Mostrando ítems 1-15 de 15
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Adaptive sequential recommender system for disruptive personalized dyslexia intervention
Mateo-Trujillo, J. Ignacio; Rodríguez-Rodríguez, Ignacio; Castillo-Barnes, Diego; Ortiz-García, Andrés
; Sánchez-Gómez, Auxiliadora; Luque-Vilaseca, Juan Luis[et al.] (Elsevier, 2025)
Computer-assisted programs have been proposed as a solution to facilitate the systematic application of scientific knowledge in individualised and progressively more intensive interventions for children with dyslexia. These ... -
Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.
Castillo-Barnes, Diego; Li, Su; Ramírez-Aguilar, Francisco Javier; Salas-González, Diego; Martínez-Murcia, Francisco Jesús; Álvarez-Illán, Ignacio; Segovia, Fermín; Ortiz-García, Andrés; Cruchaga, Carlos; Farlow, Martin R.; Xiong, Chengjie; Graff-Radford, Neil R.; Schofield, Peter R.; Masters, Colin L.; Salloway, Stephen; Jucker, Mathias; Mori, Hiroshi; Levin, Johannes; Górriz-Sáez, Juan Manuel[et al.] (Elsevier, 2020-01-07)
Despite subjects with Dominantly-Inherited Alzheimer’s Disease (DIAD) represent less than 1% of all Alzheimer’s Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact ... -
CAD system for Parkinson's Disease with penalization of non-significant or high-variability input data sources.
(Springer Nature, 2022)In the last decade, the progressive development of new machine learning schemas in combination with novel biomarkers have led us to more accurate models to diagnose and predict the evolution of neurological disorders like ... -
Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform Tailored for Dyslexic Learners
Mateo-Trujillo, J. Ignacio; Castillo-Barnes, Diego; Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés; Peinado-Domínguez, Alberto; Luque-Vilaseca, Juan Luis; Sánchez-Gómez, Auxiliadora[et al.] (2024)
Dyslexia poses substantial literacy challenges with profound academic and psychosocial impacts for affected children. Though evidence affirms that early reading interventions can significantly improve outcomes, traditional ... -
Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection.
Castillo-Barnes, Diego; Ortiz-García, Andrés; Stabile, Pietro; Gallego Molina, Nicolás Jesús; Figueiredo, Patrícia; Luque-Vilaseca, Juan Luis[et al.] (Springer Nature, 2024)
In this study, we introduced and applied a novel histogram transformation technique to enhance the interpretability and discriminative power of Cross-Frequency Coupling (CFC) maps derived from EEG signals for dyslexia ... -
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez, Javier; Górriz-Sáez, Juan Manuel; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos[et al.] (Elsevier, 2017-12-11)
Background: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) is very frequently a prodromal phase of ... -
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression.
Arco, Juan E.; Ortiz-García, Andrés; Castillo-Barnes, Diego; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2023-01-06)
The development of methods based on artificial intelligence for the classification of medical imaging is widespread. Given the high dimensionality of this type of images, it is imperative to use the information contained ... -
Evaluating intensity concentrations during the spatial normalization of functional images for Parkinson's Disease.
(Springer Nature, 2022)The aim of this study is to assess the changes in imaging of dopamine transporters using [123]I-FP-CIT SPECT when applying a deformation of the striatum using a linear and/or a non-linear registration to a reference template. ... -
Generation of Virtual Children for testing a Recommendation System for Interventions with Children with Dyslexia.
Mateo-Trujillo, J. Ignacio; Rodríguez Rodríguez, Ignacio; Castillo-Barnes, Diego; Ortiz-García, Andrés; Luque-Vilaseca, Juan Luis (2024)
The LEEDUCA project has developed a recommendation system to generate intervention sessions tailored to children with dyslexia. Due to the limitations in obtaining real data for preliminary testing, the generation of in ... -
Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers.
Rodríguez-Rivero, Jacob; Ramírez, Javier; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Ortiz-García, Andrés; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos; Jiménez-Mesa, Carmen; Leiva, Francisco J.; Carrillo, Susana; Suckling, John; Górriz-Sáez, Juan Manuel[et al.] (Elsevier, 2019-05-01)
In the immediate future, with the increasing presence of electrical vehicles and the large increase in the use of renewable energies, it will be crucial that distribution power networks are managed, supervised and exploited ... -
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease.
Castillo-Barnes, Diego; Martínez-Murcia, Francisco J.; Ortiz-García, Andrés; Salas-González, Diego; Ramírez, Javier; Górriz-Sáez, Juan Manuel[et al.] (World Scientific, 2020-08-12)
Finding new biomarkers to model Parkinson’s Disease (PD) is a challenge not only to help discerning between Healthy Control (HC) subjects and patients with potential PD, but also as a way to measure quantitatively the loss ... -
Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis
Castillo-Barnes, Diego; Gallego-Molina, Nicolás J.; Formoso, Marco A.; Ortiz-García, Andrés; Figueiredo, Patrícia; Luque-Vilaseca, Juan Luis[et al.] (Elsevier, 2024)
This work explores the intricate neural dynamics associated with dyslexia through the lens of Cross-Frequency Coupling (CFC) analysis applied to electroencephalography (EEG) signals evaluated from 48 seven-year-old Spanish ... -
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Górriz-Sáez, Juan Manuel; Jiménez-Mesa, Carmen; Romero-García, Raúl; Segovia, Fermín; Ramírez, Javier; Castillo-Barnes, Diego; Martínez-Murcia, Francisco Jesús; Ortiz-García, Andrés; Salas-González, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos; López-García, Diego; Gómez-Río, Manuel; Suckling, John[et al.] (Elsevier, 2020-09-26)
In the 1970s a novel branch of statistics emerged focusing its effort on the selection of a function for the pattern recognition problem that would fulfill a relationship between the quality of the approximation and ... -
Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
Martínez-Murcia, Francisco Jesús; Ortiz-García, Andrés; Górriz-Sáez, Juan Manuel; Ramírez, Javier; Castillo-Barnes, Diego (IEEE, 2020-01-01)
Many classical machine learning techniques have been used to explore Alzheimer’s Disease, evolving from image decomposition techniques such as Principal Component Analysis towards higher-complexity, non-linear decomposition ... -
Using XAI in the Clock Drawing Test to reveal the cognitive impairment pattern.
Jiménez-Mesa, Carmen; Arco, Juan E.; Valentí-Soler, Meritxell; Frades-Payo, Belén; Zea-Sevilla, María A.; Ortiz-García, Andrés; Ávila-Villanueva, Marina; Castillo-Barnes, Diego; Ramírez, Javier; Del-Ser-Quijano, Teodoro; Carnero Pardo, Cristóbal; Górriz-Sáez, Juan Manuel[et al.] (World Scientific, 2023-02-16)
he prevalence of dementia is currently increasing worldwide. This syndrome produces a deteriorationin cognitive function that cannot be reverted. However, an early diagnosis can be crucial for slowing itsprogress. The Clock ...