169 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade da CoruñaES10 papers
- Instituto de Investigación Biomédica de A CoruñaES9 papers
- Complejo Hospitalario Universitario de SantiagoES7 papers
- Instituto de Investigación Sanitaria de SantiagoES6 papers
- Universidade de Santiago de CompostelaES4 papers
- Pontificia Universidad Católica de ChileCL3 papers
- Servicio Gallego de SaludES3 papers
- Centro Oncológico de GaliciaES2 papers
- Biomedical Research InstituteUS1 paper
- Biomedical Research Networking Center on Neurodegenerative DiseasesES1 paper
- Centro de Investigación Biomédica en Red de CáncerES1 paper
- Hospital Universitario de GetafeES1 paper
15 papers
Evaluation of the two-voltage method for parallel-plate ionization chambers irradiated with pulsed beams
José Paz-Martín, Andreas Schüller, Alexandra Bourgouin +5
Air-vented ionization chambers exposed to clinical radiation beams may suffer from recombination during the drift of the charge carriers towards the electrodes. Thus, dosimetry pro…
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…
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…
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…
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…
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…
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…
Variation of the relative biological effectiveness with fractionation in proton therapy: analysis of prostate cancer response
Juan Pardo-Montero, Miguel Pombar, Antonio Gómez-Caamaño +2
Purpose: To present a methodology to analyze the variation of RBE with fractionation from clinical data of tumor control probability (TCP) and to apply it to study the response of…
Quantification of internal dosimetry in PET patients II: Individualized Monte Carlo-based dosimetry for [18F]Fluorocholine PET
Sara Neira, Jacobo Guiu-Souto, Paulino Pais +7
Purpose: To obtain individualized internal doses with a Monte Carlo method in patients undergoing diagnostic FCH-PET studies and to compare such doses with the MIRD method calculat…
A Mathematical Model of Thyroid Disease Response to Radiotherapy
Araceli Gago-Arias, Sara Neira, Filippo Terragni +1
We present a mechanistic biomathematical model of molecular radiotherapy of thyroid disease. The general model consists of a set of differential equations describing the dynamics o…
A kinetic model of continuous radiation damage to populations of cells: Comparison to the LQ model and application to molecular radiotherapy
Sara Neira, Araceli Gago-Arias, Jacobo Guiu-Souto +1
The linear-quadratic (LQ) model to describe the survival of irradiated cells may be the most frequently used biomathematical model in radiotherapy. There has been an intense debate…
Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques
Alejandro Puente-Castro, Enrique Fernandez-Blanco, Alejandro Pazos +1
Early detection is crucial to prevent the progression of Alzheimer's disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precis…
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal
Enrique Fernandez-Blanco, Daniel Rivero, Alejandro Pazos
Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the Polysomnogram, which is a collection of…
A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation
Felicidad Aguado, Pedro Cabalar, Jorge Fandinno +3
In this paper we present web-liver, a rule-based system for decision support in the medical domain, focusing on its application in a liver transplantation unit for implementing pol…
Bootstrap testing for cross-correlation under low firing activity
Aldana M. González Montoro, Ricardo Cao, Nelson Espinosa +2
A new cross-correlation synchrony index for neural activity is proposed. The index is based on the integration of the kernel estimation of the cross-correlation function. It is use…