FERMÍN
SEGOVIA ROMÁN
PROFESOR TITULAR DE UNIVERSIDAD
DIEGO
SALAS GONZÁLEZ
PROFESOR TITULAR DE UNIVERSIDAD
Publications by the researcher in collaboration with DIEGO SALAS GONZÁLEZ (106)
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
2022
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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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Granger causality-based information fusion applied to electrical measurements from power transformers
Information Fusion, Vol. 57, pp. 59-70
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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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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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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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Analysis of I[123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism
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
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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
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FP-CIT SPECT brain imaging for Parkinson's diagnosis using contour lines
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings