154 citations · 206 across the 10 of their papers we have counts for
10 papers
An explainable framework for the relationship between dementia and glucose metabolism patterns
C. Vázquez-García, F. J. Martínez-Murcia, F. Segovia Román +6
High-dimensional neuroimaging data presents challenges for assessing neurodegenerative diseases due to complex non-linear relationships. Variational Autoencoders (VAEs) can encode…
Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods
Carmen Jimenez-Mesa, Yizhou Wan, Guilio Sansone +7
Brain tumor resection is a highly complex procedure with profound implications for survival and quality of life. Predicting patient outcomes is crucial to guide clinicians in balan…
Tutorial: VAE as an inference paradigm for neuroimaging
C. Vázquez-García, F. J. Martínez-Murcia, F. Segovia Román +1
In this tutorial, we explore Variational Autoencoders (VAEs), an essential framework for unsupervised learning, particularly suited for high-dimensional datasets such as neuroimagi…
RESISTO Project: Automatic detection of operation temperature anomalies for power electric transformers using thermal imaging
David López-García, Fermín Segovia, Jacob Rodríguez-Rivero +4
The RESISTO project represents a pioneering initiative in Europe aimed at enhancing the resilience of the power grid through the integration of advanced technologies. This includes…
RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena
Jacob Rodríguez-Rivero, David López-García, Fermín Segovia +13
The RESISTO project, a pioneer innovation initiative in Europe, endeavors to enhance the resilience of electrical networks against extreme weather events and associated risks. Emph…
Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches
F. J. Alcaide, I. A. Illan, J. Ramirez +1
Autism Spectrum Condition (ASC) is a neurodevelopmental condition characterized by impairments in communication, social interaction and restricted or repetitive behaviors. Extensiv…
Is K-fold cross validation the best model selection method for Machine Learning?
Juan M Gorriz, R. Martin Clemente, F Segovia +3
As a technique that can compactly represent complex patterns, machine learning has significant potential for predictive inference. K-fold cross-validation (CV) is the most common a…
Revolutionizing Genomics with Reinforcement Learning Techniques
Mohsen Karami, Khadijeh Jahanian, Khadijeh +10
In recent years, Reinforcement Learning (RL) has emerged as a powerful tool for solving a wide range of problems, including decision-making and genomics. The exponential growth of…
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars +11
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. CVDs appear with minor symptoms and progressively get worse. The majori…
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7
Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The electr…