output
20172026
most citedRandom Forest-Based Prediction of Stroke Outcome

135 citations

12 papers

cs.CL2026

Trustworthy Data-driven Chronological Age Estimation from Panoramic Dental Images

Ainhoa Vivel-Couso, Nicolás Vila-Blanco, María J. Carreira +3

Integrating deep learning into healthcare enables personalized care but raises trust issues due to model opacity. To improve transparency, we propose a system for dental age estima…

physics.med-ph2024★ 2 cited

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…

stat.ME2024★ 3 cited

Tests for categorical data beyond Pearson: A distance covariance and energy distance approach

Fernando Castro-Prado, Wenceslao González-Manteiga, Javier Costas +2

Categorical variables are of uttermost importance in biomedical research. When two of them are considered, it is often the case that one wants to test whether or not they are stati…

cs.LG2024★ 135 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…

physics.med-ph2023★ 4 cited

An in-silico study of conventional and FLASH radiotherapy iso-effectiveness: Radiolytic oxygen depletion and its potential impact on tumor control probability

Isabel González-Crespo, Faustino Gómez, Óscar López Pouso +1

FLASH radiotherapy (FLASH-RT) has shown the potential to spare normal tissue while seemingly maintaining the effectiveness of conventional radiotherapy (CONV-RT). It has been sugge…

physics.med-ph2023★ 2 cited

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…

physics.med-ph2022★ 8 cited

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…

physics.med-ph2021★ 1 cited

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…

physics.med-ph2021★ 12 cited

A biomathematical model of tumor response to radioimmunotherapy with PDL1 and CTLA4

Isabel González-Crespo, Antonio Gómez-Caamaño, Óscar López Pouso +2

There is evidence of synergy between radiotherapy and immunotherapy. Radiotherapy can increase liberation of tumor antigens, causing activation of antitumor T-cells. This effect ca…

physics.med-ph2021★ 10 cited

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…

cond-mat.mtrl-sci2018★ 9 cited

Absence of ferromagnetism in VSe2 caused by its charge density wave phase

Adolfo O. Fumega, Victor Pardo

In this study we present a detailed ab initio analysis of the magnetic properties of VSe2 . Ab initio calculations in the so-called 1T structure yield a ferromagnetic phase as most…

q-bio.GN2017

ASB1 differential methylation in ischaemic cardiomyopathy. Relationship with left ventricular performance in end stage heart failure patients

Ana Ortega, Estefanía Tarazón, Carolina Gil-Cayuela +7

Aims: Ischaemic cardiomyopathy (ICM) leads to impaired contraction and ventricular dysfunction causing high rates of morbidity and mortality. Epigenomics allows the identification…