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Listar por autor "Ramírez, Javier"
Mostrando ítems 1-14 de 14
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CAD system for Parkinson's Disease with penalization of non-significant or high-variability input data sources.
Castillo-Barnes, Diego; Merino-Chica, Javier; Díaz-García, Raúl; Jiménez-Mesa, Carmen; Arco, Juan E.; Ramírez, Javier; Górriz-Sáez, Juan Manuel[et al.] (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 ... -
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Arco, Juan E.; Ortiz-García, Andrés; Gallego-Molina, Nicolás J.; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2023-02-18)The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing ... -
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 ... -
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2016-08-01)Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer’s Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. ... -
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.
Castillo-Barnes, Diego; Arco, Juan E.; Jiménez-Mesa, Carmen; Ramírez, Javier; Górriz-Sáez, Juan Manuel; Salas-González, Diego[et al.] (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. ... -
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 ... -
Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes.
Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2018-10-16)Parkinsonism is the second most common neurodegenerative disease in the world. Its diagnosis usually relies on visual analysis of Emission Computed Tomography (SPECT) images acquired using 123I − io f lupane radiotracer. ... -
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 Combination of Non-Linear Eigenprojections For Ensemble Classification.
Arco, Juan E.; Ortiz-García, Andrés; Ramírez, Javier; Martínez-Murcia, Francisco Jesús; Zhang, Yu-Dong; Broncano, Jordi; Berbís, Álvaro; Royuela-del-Val, Javier; Luna, Antonio; Górriz-Sáez, Juan Manuel[et al.] (IEEE, 2022-10-10)The emergence of new technologies has changed the way clinicians perform diagnosis. Medical imaging play a crucial role in this process, given the amount of information that they usually provide as non-invasive techniques. ... -
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 ... -
Tiled Sparse Coding in Eigenspaces for Image Classification.
Arco, Juan E.; Ortiz-García, Andrés; Ramírez, Javier; Zhang, Yu-Dong; Górriz-Sáez, Juan Manuel (World Scientific, 2021-12-30)The automation in the diagnosis of medical images is currently a challenging task. The use of Computer Aided Diagnosis (CAD) systems can be a powerful tool for clinicians, especially in situations when hospitals are ... -
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 ...