F. Segovia

Universidad de Granada — Spain

Computer Science · Physical Sciences

32h-index3.5kcitations160works2.32yr avg
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Research Topics

Medical Image Segmentation Techniques(40), Brain Tumor Detection and Classification(39), Image Retrieval and Classification Techniques(29), Parkinson's Disease Mechanisms and Treatments(27), Neurological disorders and treatments(26)

Publications160 total

Baseline Findings from Dual-Phase Amyloid PET Study in Newly Diagnosed Multiple Sclerosis: Exploring Its Potential as a Biomarker of Myelination and Neurodegeneration
Journal of Personalized Medicine·2025Open Access
Statistical Agnostic Regression for Reliable Validation of Alzheimer's Disease Models
2025
Analysis of the Role of Amyloid Neuroimaging as a Prognostic Biomarker of Multiple Sclerosis
2025
Autoencoder-Based MRI Linking Latent Projections to Brain Anatomy
2025
Explainability of the Latent Space in Autoencoders and Neuroimaging Features
2025
Semi-Supervised Labeling Process for the Development of an Imaging Dataset to Support Parkinson's Disease Research
2025
Dual Phase Amyloid PET in Newly Diagnosed Multiple Sclerosis: Exploring Its Potential as a Biomarker of Myelination and Neurodegeneration
Preprints.org·2025Open Access
Image-based AI tools in peripheral nerves assessment: Current status and integration strategies − A narrative review
European Journal of Radiology·2025· 1 cited
Statistical agnostic regression: A machine learning method to validate regression models
Journal of Advanced Research·2025· 3 citedOpen Access
abms: Augmented Bayesian Model Selection for Regression Models
2025Open Access
RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena
arXiv (Cornell University)·2024Open Access
Assessing the Use of Transfer Learning in Neural Networks Used to Assist in the Diagnosis of Alzheimer’s Disease
2024
Automatic segmentation of gray and white matter lesions in multiple sclerosis patients using isolines
2024
Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning
International Journal of Neural Systems·2024· 15 citedOpen Access
Statistical Agnostic Regression: a machine learning method to validate regression models
arXiv (Cornell University)·2024Open Access
Is K-fold cross validation the best model selection method for Machine Learning?
arXiv (Cornell University)·2024· 22 citedOpen Access
PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models
Lecture notes in computer science·2024
RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena
Lecture notes in computer science·2024· 2 cited
RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging
Lecture notes in computer science·2024Open Access
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Information Fusion·2023· 164 citedOpen Access
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Frequent Co-authors

J. M. Górriz(47), Javier Ramı́rez(46), D. Salas-González(33), I. Álvarez(31), M. López(20), Francisco J. Martínez-Murcia(14), R. Chaves(14), Carlos G. Puntonet(14), Diego Castillo-Barnés(12), Andrés Ortíz(11), Pablo Padilla(8), John Suckling(7), Manuel Gómez-Río(5), C. Jiménez-Mesa(4), Christophe Phillips(4), Yudong Zhang(3), Christine Bastin(3), Johannes Levin(3), Matthew Leming(2), Guido Bologna(2)