Publicaciones (147) Publicaciones de FERMÍN SEGOVIA ROMÁN

2024

  1. Bridging Imaging and Clinical Scores in Parkinson's Progression via Multimodal Self-Supervised Deep Learning

    International Journal of Neural Systems, Vol. 34, Núm. 8

  2. PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Information Fusion, Vol. 100

  2. Connected system for monitoring electrical power transformers using thermal imaging

    Integrated Computer-Aided Engineering, Vol. 30, Núm. 4, pp. 353-368

  3. Statistical significance maps based on machine learning. On the use of data-dependent upper bounds

    Proceedings - 2023 8th International Conference on Information and Network Technologies, ICINT 2023

2022

  1. 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

  2. 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

  3. 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)

  4. 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

  5. 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

  6. 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

  1. Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

    Information Fusion, Vol. 66, pp. 198-212

2020

  1. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Neurocomputing, Vol. 410, pp. 237-270

  2. Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

    Information Fusion, Vol. 58, pp. 153-167

  3. Estimating the Severity of Alzheimer's Disease using Convolutional Neural Networks and Magnetic Resonance Imaging Data

    2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

  4. Granger causality-based information fusion applied to electrical measurements from power transformers

    Information Fusion, Vol. 57, pp. 59-70

  5. Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease

    Neurocomputing, Vol. 417, pp. 1-9

  6. 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