ListarIC - Artículos por tema "Medicina - Proceso de datos"
Mostrando ítems 1-9 de 9
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Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data.
Ortiz-García, Andrés
; Lozano Cuadra, Federico; Górriz-Sáez, Juan Manuel; Ramírez-Aguilar, Francisco Javier; Martínez-Murcia, Francisco Jesús (Bentham Science, 2018-01-01)
Feature extraction in medical image processing still remains a challenge, especially in high-dimensionality datasets, where the expected number of available samples is considerably lower than the dimension of the feature ... -
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 ... -
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 ... -
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 ... -
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 ...