FERMÍN
SEGOVIA ROMÁN
PROFESOR TITULAR DE UNIVERSIDAD
DIEGO
CASTILLO BARNES
Investigador en el periodo 2022-2022
Publicaciones en las que colabora con DIEGO CASTILLO BARNES (35)
2023
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Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion, Vol. 100
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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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
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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Assisted diagnosis of parkinsonism based on the striatal morphology
International Journal of Neural Systems, Vol. 29, Núm. 9
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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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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)
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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