Author

Miguel A. Fernández‐Blázquez

Instituto de Salud Carlos IIIORCID 0000-0002-9820-8699Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Research Focus:differential expression· 2 Assay:electronic health records· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Approach:experimental assay· 1

Frequent Co-Authors

Jaime Gómez‐RamíreziD· 3 shared Marina Ávila‐VillanuevaiD· 2 shared Belén Frades Payo· 1 shared Jaime Gómez-Ramírez· 1 shared Javier J. González-RosaiD· 1 shared Javier Quilis-Sancho· 1 shared María Ascensión Zea Sevilla· 1 shared Meritxell Valentí Soler· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

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3 shared papersNeuroscience

Jaime Gómez‐RamírezORCID

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4 papers

Recent·Most cited

A causal analysis of the effect of age and sex differences on brain atrophy in the elderly brain

Jaime Gómez‐Ramírez, Miguel A. Fernández‐Blázquez, Javier J. González-Rosa

The paper uses causal inference to analyze how age and sex influence brain atrophy in elderly individuals using MRI data.

Life · Oct 12, 2022Peer-reviewedNeuroscience

Selecting the most important self-assessed features for predicting conversion to Mild Cognitive Impairment with Random Forest and Permutation-based methods

Jaime Gómez‐Ramírez, Marina Ávila‐Villanueva, Miguel A. Fernández‐Blázquez

This study identifies key self-reported features predicting conversion to Mild Cognitive Impairment using random forest and permutation-based methods in a longitudinal cohort.

Scientific Reports · Nov 26, 2020Peer-reviewedNeuroscience

A comparative analysis of automated MRI brain segmentation in a large longitudinal dataset: Freesurfer vs. FSL

Javier Quilis-Sancho, Miguel A. Fernández‐Blázquez, Jaime Gómez‐Ramírez

This study compares Freesurfer and FSL automated MRI brain segmentation in a large longitudinal dataset, finding no linear correlation and differences in subcortical volume estimates.

bioRxiv · Aug 13, 2020 · PreprintNeuroscience

Exploratory Data Analysis in a six-year longitudinal study in healthy brain aging

Jaime Gómez-Ramírez, Marina Ávila‐Villanueva, Belén Frades Payo, Teodoro del Ser Quijano, Meritxell Valentí Soler, María Ascensión Zea Sevilla, Miguel A. Fernández‐Blázquez

This study performs exploratory data analysis on a longitudinal dataset of healthy brain aging to characterize feature dynamics and their relation to cognitive decline.

bioRxiv · Jun 20, 2019 · PreprintNeuroscience