JAVIER
RAMÍREZ PÉREZ DE INESTROSA
CATEDRÁTICO DE UNIVERSIDAD
DIEGO
CASTILLO BARNES
Ikertzailea 2022-2022 tartean
DIEGO CASTILLO BARNES-rekin lankidetzan egindako argitalpenak (49)
2024
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A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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