Search Results for author: Alvaro Fernandez-Quilez

Found 5 papers, 1 papers with code

Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center study

1 code implementation11 Mar 2023 Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gomez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez

As the number of automatic tools based on machine learning (ML) and resting-state electroencephalography (rs-EEG) for Parkinson's disease (PD) detection keeps growing, the assessment of possible exacerbation of health disparities by means of fairness and bias analysis becomes more relevant.

Electroencephalogram (EEG) Fairness

Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study

no code implementations2 Mar 2023 Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gomez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez

In particular, the power spectral density (PSD) of low-frequency bands ({\delta} and {\theta}) and high-frequency bands ({\alpha} and \b{eta}) has been shown to be significantly different in patients with PD as compared to subjects without PD (non-PD).

Electroencephalogram (EEG) feature selection

3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI

no code implementations29 Dec 2022 Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal

Masked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural images.

Lesion Classification Self-Supervised Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.