Listar IC - Artículos por autor "Castillo-Barnes, Diego"
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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 ... -
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 ... -
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 ... -
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 ...