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20212024
most citedAutomatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques

169 citations

11 papers

cs.CV2024

Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning

David Vázquez-Lema, Eduardo Mosqueira-Rey, Elena Hernández-Pereira +3

This paper explores the application of Human-in-the-Loop (HITL) strategies in training machine learning models in the medical domain. In this case a doctor-in-the-loop approach is…

cs.CR20247 cited

A Novel Protocol Using Captive Portals for FIDO2 Network Authentication

Martiño Rivera-Dourado, Marcos Gestal, Alejandro Pazos +1

FIDO2 authentication is starting to be applied in numerous web authentication services, aiming to replace passwords and their known vulnerabilities. However, this new authenticatio…

cs.AI20246 cited

Machine Learning in management of precautionary closures caused by lipophilic biotoxins

Andres Molares-Ulloa, Enrique Fernandez-Blanco, Alejandro Pazos +1

Mussel farming is one of the most important aquaculture industries. The main risk to mussel farming is harmful algal blooms (HABs), which pose a risk to human consumption. In Galic…

cs.LG2024135 cited

Random Forest-Based Prediction of Stroke Outcome

Carlos Fernandez-Lozano, Pablo Hervella, Virginia Mato-Abad +9

We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques…

q-bio.TO2024101 cited

Targeting of chondrocyte plasticity via connexin43 modulation attenuates cellular senescence and fosters a pro-regenerative environment in osteoarthritis

Marta Varela-Eirin, Adrian Varela-Vazquez, Amanda Guitian-Caamano +10

Osteoarthritis (OA), a chronic disease characterized by articular cartilage degeneration, is a leading cause of disability and pain worldwide. In OA, chondrocytes in cartilage unde…

cs.LG202421 cited

Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques

V Mato-Abad, A Labiano-Fontcuberta, S Rodriguez-Yanez +9

Background and purpose: The unanticipated detection by magnetic resonance imaging (MRI) in the brain of asymptomatic subjects of white matter lesions suggestive of multiple scleros…