DIEGO
CASTILLO BARNES
Investigador en el periodo 2022-2022
Universidad de Málaga
Málaga, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Málaga (25)
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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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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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)
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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Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders
IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 1, pp. 17-26
2019
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Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study
Advances in Intelligent Systems and Computing
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Periodogram Connectivity of EEG Signals for the Detection of Dyslexia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018
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A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer's Disease
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
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A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer's Disease
2018 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE PROCEEDINGS (NSS/MIC)
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Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging
Journal of Alzheimer's Disease, Vol. 65, Núm. 3, pp. 713-729