DIEGO
SALAS GONZÁLEZ
PROFESOR TITULAR DE UNIVERSIDAD
JAVIER
RAMÍREZ PÉREZ DE INESTROSA
CATEDRÁTICO DE UNIVERSIDAD
Publicaciones en las que colabora con JAVIER RAMÍREZ PÉREZ DE INESTROSA (142)
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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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 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
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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
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Practical use of Alpha-Shapes in Neuroimaging for Parkinson's Disease diagnosis
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
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Spatial Registration of Neuroimaging Data: Analysis of the Convenience of Performing Non-Affine Transformations
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020
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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Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Parkinson's disease detection using isosurfaces-based features and convolutional neural networks
Frontiers in Neuroinformatics, Vol. 13