FERMÍN
SEGOVIA ROMÁN
PROFESOR TITULAR DE UNIVERSIDAD
CARMEN
JIMÉNEZ MESA
CONTRATADA DE INVESTIGACIÓN POSTDOCTORAL
Publications by the researcher in collaboration with CARMEN JIMÉNEZ MESA (10)
2024
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Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning
International Journal of Neural Systems, Vol. 34, Núm. 8
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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A Connection between Pattern Classification by Machine Learning and Statistical Inference with the General Linear Model
IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 11, pp. 5332-5343
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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
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Standardization of Agnostic Learning Techniques in Neuroimaging: a Case Study in EEG
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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Granger causality-based information fusion applied to electrical measurements from power transformers
Information Fusion, Vol. 57, pp. 59-70
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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