JAVIER
RAMÍREZ PÉREZ DE INESTROSA
CATEDRÁTICO DE UNIVERSIDAD
DIEGO
CASTILLO BARNES
Chercheur dans le période 2022-2022
Publications dans lesquelles il/elle collabore avec DIEGO CASTILLO BARNES (48)
2023
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
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Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression
Applied Soft Computing, Vol. 134
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Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data
International Journal of Neural Systems, Vol. 33, Núm. 8
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Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
International Journal of Neural Systems, Vol. 33, Núm. 4
2022
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Analysis of the Neurological Hallmarks of COVID-19. A Multivariate Approach Using 18F-FDG-PET Data
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
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Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson's Disease
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
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Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Multilevel Modelling of Parkinson's Disease Symptom Progression in 123I FP-CIT SPECT
2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference
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Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images
International Journal of Neural Systems, Vol. 32, Núm. 5
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Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021
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Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities
Information Fusion, Vol. 66, pp. 198-212
2020
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Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning
Information Fusion, Vol. 58, pp. 153-167
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Expectation–Maximization algorithm for finite mixture of α-stable distributions
Neurocomputing, Vol. 413, pp. 210-216
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Granger causality-based information fusion applied to electrical measurements from power transformers
Information Fusion, Vol. 57, pp. 59-70
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Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease
International Journal of Neural Systems, Vol. 30, Núm. 9
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Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease
Neurocomputing, Vol. 417, pp. 1-9