RG
R. Garcia-Dias
astro-ph.GAastro-ph.IMastro-ph.SRcs.LGBrainmachine learningMachine LearningageingBehavioral Neurosciencebehavioral patterns
On Valency
published · living versionsW_jewxs95d·v1 · currentpublished
The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment
with Bela Abolfathi, D. S. Aguado, Gabriela Aguilar, Carlos Allende Prieto +343
1 version
Preprints & journals
21 papers in the corpus · 2015–2026Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study2609.36001v1 · Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul et al.2026 · 0 citationsarXiv
Neurofind: using deep learning to make individualised inferences in brain-based disorders.40016187 · Vieira, S, Baecker, L, Pinaya, W H L et al.2025 · 3 citationsTranslational psychiatry. 2025;15(1):69
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.37578823 · Sun, Shaoxiong, Folarin, Amos A, Zhang, Yuezhou et al.2023 · 41 citationsJournal of medical Internet research. 2023;25:e45233
Machine learning for brain age prediction: Introduction to methods and clinical applications.34614461 · Baecker, Lea, Garcia-Dias, Rafael, Vieira, Sandra et al.2022 · 272 citationsEBioMedicine. 2021;72:103600
Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort study.34344910 · Pinaya, Walter H L, Scarpazza, Cristina, Garcia-Dias, Rafael et al.2021 · 82 citationsScientific reports. 2021;11(1):15746
Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data.33738883 · Baecker, Lea, Dafflon, Jessica, da Costa, Pedro F et al.2022 · 109 citationsHuman brain mapping. 2021;42(8):2332-2346
Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners.32634595 · Garcia-Dias, Rafael, Scarpazza, Cristina, Baecker, Lea et al.2021 · 87 citationsNeuroImage. 2020;220:117127
Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders.32313006 · Scarpazza, C, Ha, M, Baecker, L et al.2021 · 50 citationsTranslational psychiatry. 2020;10(1):107
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer's disease10.1101/2020.02.10.931824v1 · Pinaya, W. H. L., Scarpazza, C., Garcia-Dias, R. et al.2020 · 12 citationsbioRxiv
Timing in psychiatry: exploring resonance in biological systems for treatment of mental disorders.84ndb_v1 · Felipe Coelho Argolo, Rafael Garcia-Dias, Pedro Mario Pan et al.2020 · 0 citationsPsyArXiv
The Pristine survey X: a large population of low-metallicity stars permeates the Galactic disk1911.08491v1 · Federico Sestito, Nicolas F. Martin, Else Starkenburg et al.2019 · 92 citationsarXiv
The Pristine Survey -- VI. The first three years of medium-resolution follow-up spectroscopy of Pristine EMP star candidates1909.08138v1 · David S. Aguado, Kris Youakim, Jonay I. Gonz'alez Hern'andez et al.2019 · 71 citationsarXiv
Machine learning in APOGEE: Identification of stellar populations through chemical abundances1907.12796v1 · Rafael Garcia-Dias, Carlos Allende Prieto, Jorge S'anchez Almeida et al.2019 · 18 citationsA&A 629, A34 (2019)
Chemical Abundances of Main-Sequence, Turnoff, Subgiant and red giant Stars from APOGEE spectra II: Atomic Diffusion in M67 Stars1902.10199v1 · Diogo Souto, C. Allende Prieto, Katia Cunha et al.2019 · 89 citationsarXiv
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library1812.02759v2 · D. S. Aguado, Romina Ahumada, Andres Almeida et al.2018 · 396 citationsarXiv
Machine learning in APOGEE: Unsupervised spectral classification with -means1801.07912v2 · Rafael Garcia-Dias, Carlos Allende Prieto, Jorge S'anchez Almeida et al.2018 · 23 citationsA&A 612, A98 (2018)
OCCASO II. Physical parameters and Fe abundances of Red Clump stars in 18 Open Clusters1706.03656v1 · L. Casamiquela, R. Carrera, S. Blanco-Cuaresma et al.2017 · 44 citationsarXiv
Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe1703.00052v2 · Michael R. Blanton, Matthew A. Bershady, Bela Abolfathi et al.2017 · 1,598 citationsThe Astronomical Journal, Volume 154, Number 1, pp. 28-62 (2017)
The Astropy Problem1610.03159v1 · Demitri Muna, Michael Alexander, Alice Allen et al.2016 · 15 citationsarXiv
The Thirteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey MApping Nearby Galaxies at Apache Point Observatory1608.02013v2 · Franco D. Albareti, Carlos Allende Prieto, Andres Almeida et al.2016 · 514 citationsarXiv
Bridge over troubled gas: clusters and associations under the SMC and LMC tidal stresses1507.07725v1 · E. Bica, B. Santiago, C. Bonatto et al.2015 · 22 citationsarXiv
Career total: 40 works. 21 are in this corpus.
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