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United Kingdom

Activities

Employment (2)

King's College London: London, GB

2024-12-18 to present | Senior AI Engineer on Foundational Models for Healthcare (Biomedical Engineering)
Employment
Source: Self-asserted source
Garcia-Dias

King's College London: London, London, GB

2018-08-13 to 2022-08-31 | Research Associate (IoPPN)
Employment
Source: Self-asserted source
Garcia-Dias

Education and qualifications (1)

Instituto de Astrofísica de Canarias: La Laguna, Islas Canarias, ES

2015-08 to 2018-09 | PhD
Qualification
Source: Self-asserted source
Garcia-Dias

Works (35)

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

Journal of Medical Internet Research
2023-08-14 | Journal article
Contributors: Shaoxiong Sun; Amos A Folarin; Yuezhou Zhang; Nicholas Cummins; Rafael Garcia-Dias; Callum Stewart; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Petroula Laiou et al.
Source: check_circle
Crossref

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis (Preprint)

2022-12-21 | Preprint
Contributors: Shaoxiong Sun; Amos A Folarin; Yuezhou Zhang; Nicholas Cummins; Rafael Garcia-Dias; Callum Stewart; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Petroula Laiou et al.
Source: check_circle
Crossref

A step-by-step tutorial on how to build a machine learning model

Machine Learning
2020 | Book chapter
Part of ISBN: 9780128157398
Source: Self-asserted source
Garcia-Dias

Autoencoders

Machine Learning
2020 | Book chapter
Part of ISBN: 9780128157398
Source: Self-asserted source
Garcia-Dias

Clustering analysis

Machine Learning
2020 | Book chapter
Part of ISBN: 9780128157398
Source: Self-asserted source
Garcia-Dias

Convolutional neural networks

Machine Learning
2020 | Book chapter
Part of ISBN: 9780128157398
Source: Self-asserted source
Garcia-Dias

Deep neural networks

Machine Learning
2020 | Book chapter
Part of ISBN: 9780128157398
Source: Self-asserted source
Garcia-Dias

Multimodal integration

Machine Learning
2020 | Book chapter
Part of ISBN: 9780128157398
Source: Self-asserted source
Garcia-Dias

Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders

Translational Psychiatry
2020 | Journal article
EID:

2-s2.0-85083804863

Part of ISBN:

21583188

Contributors: Scarpazza, C.; Ha, M.; Baecker, L.; Garcia-Dias, R.; Pinaya, W.H.L.; Vieira, S.; Mechelli, A.
Source: Self-asserted source
Garcia-Dias via Scopus - Elsevier

Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners

NeuroImage
2020-10 | Journal article
Part of ISSN: 1053-8119
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 2)‎

Erratum: The Pristine survey - VI. The first three years of medium-resolution follow-up spectroscopy of Pristine EMP star candidates

Monthly Notices of the Royal Astronomical Society
2020-02 | Journal article
Contributors: Aguado, David S.; Youakim, Kris; González Hernández, Jonay I.; Allende Prieto, Carlos; Starkenburg, Else; Martin, Nicolas; Bonifacio, Piercarlo; Arentsen, Anke; Caffau, Elisabetta; Peralta de Arriba, Luis et al.
Source: check_circle
NASA Astrophysics Data System
grade
Preferred source (of 2)‎

The Pristine survey X: a large population of low-metallicity stars permeates the Galactic disk.

Monthly Notices of the Royal Astronomical Society
2020-02 | Journal article
Contributors: Sestito, Federico; Martin, Nicolas F.; Starkenburg, Else; Arentsen, Anke; Ibata, Rodrigo A.; Longeard, Nicolas; Kielty, Collin; Youakim, Kristopher; Venn, Kim A.; Aguado, David S. et al.
Source: check_circle
NASA Astrophysics Data System
grade
Preferred source (of 2)‎

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

2020-02-11 | Preprint
Contributors: Walter H. L. Pinaya; Cristina Scarpazza; Rafael Garcia-Dias; Sandra Vieira; Lea Baecker; Pedro F. da Costa; Alberto Redolfi; Giovanni B. Frisoni; Michela Pievani; Vince D. Calhoun et al.
Source: check_circle
Crossref

Timing in psychiatry: exploring resonance in biological systems for treatment of mental disorders.

2020-02-07 | Other
Contributors: Felipe Coelho Argolo; Rafael Garcia-Dias; Pedro Mario Pan; Ary Gadelha; Lucas de Castro Quarantini; Rodrigo Bressan
Source: check_circle
Crossref

A step-by-step tutorial on how to build a machine learning model

Machine Learning: Methods and Applications to Brain Disorders
2019 | Book
EID:

2-s2.0-85094580729

Contributors: Vieira, S.; Garcia-Dias, R.; Lopez Pinaya, W.H.
Source: Self-asserted source
Garcia-Dias via Scopus - Elsevier

Autoencoders

Machine Learning: Methods and Applications to Brain Disorders
2019 | Book
EID:

2-s2.0-85088866489

Contributors: Lopez Pinaya, W.H.; Vieira, S.; Garcia-Dias, R.; Mechelli, A.
Source: Self-asserted source
Garcia-Dias via Scopus - Elsevier

Clustering analysis

Machine Learning: Methods and Applications to Brain Disorders
2019 | Book
EID:

2-s2.0-85090283510

Contributors: Garcia-Dias, R.; Vieira, S.; Lopez Pinaya, W.H.; Mechelli, A.
Source: Self-asserted source
Garcia-Dias via Scopus - Elsevier

Convolutional neural networks

Machine Learning: Methods and Applications to Brain Disorders
2019 | Book
EID:

2-s2.0-85094623942

Contributors: Lopez Pinaya, W.H.; Vieira, S.; Garcia-Dias, R.; Mechelli, A.
Source: Self-asserted source
Garcia-Dias via Scopus - Elsevier

Deep neural networks

Machine Learning: Methods and Applications to Brain Disorders
2019 | Book
EID:

2-s2.0-85094559830

Contributors: Vieira, S.; Lopez Pinaya, W.H.; Garcia-Dias, R.; Mechelli, A.
Source: Self-asserted source
Garcia-Dias via Scopus - Elsevier

Multimodal integration

Machine Learning: Methods and Applications to Brain Disorders
2019 | Book
EID:

2-s2.0-85094607954

Contributors: Vieira, S.; Lopez Pinaya, W.H.; Garcia-Dias, R.; Mechelli, A.
Source: Self-asserted source
Garcia-Dias via Scopus - Elsevier

The Pristine survey - VI. The first three years of medium-resolution follow-up spectroscopy of Pristine EMP star candidates

Monthly Notices of the Royal Astronomical Society
2019-12 | Journal article
Contributors: Aguado, David S.; Youakim, Kris; González Hernández, Jonay I.; Allende Prieto, Carlos; Starkenburg, Else; Martin, Nicolas; Bonifacio, Piercarlo; Arentsen, Anke; Caffau, Elisabetta; Peralta de Arriba, Luis et al.
Source: check_circle
NASA Astrophysics Data System
grade
Preferred source (of 2)‎

Machine learning in APOGEE

Astronomy & Astrophysics
2019-09 | Journal article
Contributors: Rafael Garcia-Dias; Carlos Allende Prieto; Jorge Sánchez Almeida; Pedro Alonso Palicio
Source: check_circle
Crossref

Machine learning in APOGEE: Identification of stellar populations through chemical abundances

arXiv e-prints
2019-07 | Working paper
Contributors: Garcia-Dias, Rafael; Allende Prieto, Carlos; Sánchez Almeida, Jorge; Alonso Palicio, Pedro
Source: check_circle
NASA Astrophysics Data System

VizieR Online Data Catalog: APOGEE stars members of 35 star clusters (Garcia-Dias+, 2019)

VizieR Online Data Catalog
2019-07 | Dataset
Contributors: Garcia-Dias, R.; Allende Prieto, C.; Sanchez Almeida, J.; Alonso Palicio, P.
Source: check_circle
NASA Astrophysics Data System

Chemical Abundances of Main-sequence, Turnoff, Subgiant, and Red Giant Stars from APOGEE Spectra. II. Atomic Diffusion in M67 Stars

The Astrophysical Journal
2019-03 | Journal article
Contributors: Souto, Diogo; Allende Prieto, C.; Cunha, Katia; Pinsonneault, Marc; Smith, Verne V.; Garcia-Dias, R.; Bovy, Jo; García-Hernández, D. A.; Holtzman, Jon; Johnson, J. A. et al.
Source: check_circle
NASA Astrophysics Data System
grade
Preferred source (of 2)‎

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library

The Astrophysical Journal Supplement Series
2019-02 | Journal article
Contributors: Aguado, D. S.; Ahumada, Romina; Almeida, Andrés; Anderson, Scott F.; Andrews, Brett H.; Anguiano, Borja; Aquino Ortíz, Erik; Aragón-Salamanca, Alfonso; Argudo-Fernández, Maria; Aubert, Marie et al.
Source: check_circle
NASA Astrophysics Data System
grade
Preferred source (of 2)‎

Automated algorithms for spectroscopic classification of stars and applications to apogee

Teseo
2018-12 | Dissertation or Thesis
Source: Self-asserted source
Garcia-Dias

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

\apjs
2018-04 | Journal article
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 2)‎

VizieR Online Data Catalog: APOGEE full information on classes (Garcia-Dias+, 2018)

VizieR Online Data Catalog
2018-02 | Dataset
Contributors: Garcia-Dias, R.; Allende Prieto, C.; Sanchez Almeida, J.; Ordovas-Pascual, I.
Source: check_circle
NASA Astrophysics Data System

Machine learning in APOGEE: Unsupervised spectral classification with $K$-means

ArXiv e-prints
2018-01 | Journal article
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 3)‎

The 13th Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey Mapping Nearby Galaxies at Apache Point Observatory

\apjs
2017-12 | Journal article
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 2)‎

OCCASO - II. Physical parameters and Fe abundances of red clump stars in 18 open clusters

\mnras
2017-10 | Journal article
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 2)‎

Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

\aj
2017-07 | Journal article
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 2)‎

The Astropy Problem

ArXiv e-prints
2016-10 | Journal article
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 2)‎

Bridge over troubled gas: clusters and associations under the SMC and LMC tidal stresses

\mnras
2015-11 | Journal article
Source: Self-asserted source
Garcia-Dias
grade
Preferred source (of 2)‎

Peer review (1 review for 1 publication/grant)

Review activity for Psychiatry research. (1)