DIEGO
SALAS GONZÁLEZ
PROFESOR TITULAR DE UNIVERSIDAD
FRANCISCO JESÚS
MARTÍNEZ MURCIA
PROGRAMA RAMON Y CAJAL
Publicaciones en las que colabora con FRANCISCO JESÚS MARTÍNEZ MURCIA (49)
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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Connected system for monitoring electrical power transformers using thermal imaging
Integrated Computer-Aided Engineering, Vol. 30, Núm. 4, pp. 353-368
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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
2022
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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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Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging
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
2019
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Classification Improvement for Parkinson’s Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images
Advances in Intelligent Systems and Computing
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Comparison Between Affine and Non-affine Transformations Applied to I [ 123 ] -FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Comparison between affine and non-affine transformations applied to I[123]-FP-CIT SPECT images used for Parkinson’s disease diagnosis
Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I (Springer Suiza), pp. 379-388
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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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Support Vector Machine Failure in Imbalanced Datasets
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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Analysis of I[123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
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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
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Ensemble classification of heterogeneous biomarkers in the diagnosis of Parkinsonism
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings
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Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares
Journal of Neuroscience Methods, Vol. 302, pp. 47-57