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Garcia-Dias, Rafael
234  Ergebnisse:
Personensuche X
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1

Challenges in Using mHealth Data From Smartphones and Weara..:

Sun, Shaoxiong ; Folarin, Amos A ; Zhang, Yuezhou...
https://discovery.ucl.ac.uk/id/eprint/10175361/1/PDF.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
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2

Challenges in Using mHealth Data From Smartphones and Weara..:

Sun, Shaoxiong ; Folarin, Amos A ; Zhang, Yuezhou...
http://arxiv.org/abs/2212.10540.  , 2022
Link: http://arxiv.org/abs/221..
 
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3

Using normative modelling to detect disease progression in ..:

Pinaya, Walter H L ; Scarpazza, Cristina ; Garcia-Dias, Rafael...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-95098-0.  , 2021
Link: https://archive-ouverte...
 
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4

Machine learning for brain age prediction: Introduction to ..:

Baecker, Lea ; Garcia-dias, Rafael ; Vieira, Sandra..
https://kclpure.kcl.ac.uk/portal/en/publications/70505f6d-6804-44d0-b6b4-29c0249203f6.  , 2021
Link: https://kclpure.kcl.ac.u..
 
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5

Machine learning for brain age prediction: Introduction to ..:

Baecker, Lea ; Garcia-dias, Rafael ; Vieira, Sandra..
Baecker , L , Garcia-dias , R , Vieira , S , Scarpazza , C & Mechelli , A 2021 , ' Machine learning for brain age prediction: Introduction to methods and clinical applications ' , EBioMedicine , vol. 72 , 103600 , pp. 103600 . https://doi.org/10.1016/j.ebiom.2021.103600.  , 2021
Link: https://kclpure.kcl.ac.u..
 
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The Pristine survey - X. A large population of low-metallic..:

Sestito, Federico ; Martin, Nicolas F ; Starkenburg, Else...
Sestito , F , Martin , N F , Starkenburg , E , Arentsen , A , Ibata , R A , Longeard , N , Kielty , C , Youakim , K , Venn , K A , Aguado , D S , Carlberg , R G , Gonzalez Hernandez , J , Hill , V , Jablonka , P , Kordopatis , G , Malhan , K , Navarro , J F , Sanchez-Janssen , R , Thomas , G , Tolstoy , E , Wilson , T G , Palicio , P A , Bialek , S , Garcia-Dias , R , Lucchesi , R , North , P , Osorio , Y , Patrick , L R & de Arriba , L P 2020 , ' The Pristine survey - X. A large population of low-metallicity stars permeates the Galactic disc ' , Monthly Notices of the Royal Astronomical Society: Letters , vol. 497 , no. 1 , pp. L7-L12 . https://doi.org/10.1093/mnrasl/slaa022.  , 2020
Link: https://risweb.st-andrew..
 
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7

Neuroharmony: A new tool for harmonizing volumetric MRI dat..:

Garcia-Dias, Rafael ; Scarpazza, Cristina ; Baecker, Lea...
http://hdl.handle.net/10668/15889.  , 2020
Link: http://hdl.handle.net/10..
 
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8

The Pristine survey - X. A large population of low-metallic..:

Sestito, Federico ; Martin, Nicolas F ; Starkenburg, Else...
https://research-portal.st-andrews.ac.uk/en/researchoutput/the-pristine-survey--x-a-large-population-of-lowmetallicity-stars-permeates-the-galactic-disc(38392cd3-6798-4f19-a2f2-25e4c44543f3).html.  , 2020
Link: https://research-portal...
 
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9

Neuroharmony: A new tool for harmonizing volumetric MRI dat..:

Garcia-Dias, Rafael ; Scarpazza, Cristina ; Baecker, Lea...
Publisher's version.  , 2020
Link: http://hdl.handle.net/10..
 
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10

Neuroharmony:A new tool for harmonizing volumetric MRI data..:

Garcia-Dias, Rafael ; Scarpazza, Cristina ; Baecker, Lea...
Garcia-Dias , R , Scarpazza , C , Baecker , L , Vieira , S , Pinaya , W H L , Corvin , A , Redolfi , A , Nelson , B , Crespo-Facorro , B , McDonald , C , Tordesillas-Gutierrez , D , Cannon , D , Mothersill , D , Hernaus , D , Morris , D , Setien-Suero , E , Donohoe , G , Frisoni , G , Tronchin , G , Sato , J , Marcelis , M , Kempton , M , van Haren , N E M , Gruber , O , McGorry , P , Amminger , P , McGuire , P , Gong , Q , Kahn , R S , Ayesa-Arriola , R , van Amelsvoort , T , de la Foz , V O-G , Calhoun , V , Cahn , W & Mechelli , A 2020 , ' Neuroharmony : A new tool for harmonizing volumetric MRI data from unseen scanners ' , Neuroimage , vol. 220 , 117127 . https://doi.org/10.1016/j.neuroimage.2020.117127.  , 2020
Link: https://cris.maastrichtu..
 
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11

Neuroharmony: A new tool for harmonizing volumetric MRI dat..:

Garcia-Dias, Rafael ; Scarpazza, Cristina ; Baecker, Lea...
1053-8119.  , 2020
Link: https://dspace.library.u..
 
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12

The Pristine survey - X. A large population of low-metallic..:

Sestito, Federico ; Martin, Nicolas F ; Starkenburg, Else...
https://research-portal.st-andrews.ac.uk/en/researchoutput/the-pristine-survey--x-a-large-population-of-lowmetallicity-stars-permeates-the-galactic-disc(38392cd3-6798-4f19-a2f2-25e4c44543f3).html.  , 2020
Link: https://research-portal...
 
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13

The Pristine survey - X. A large population of low-metallic..:

Sestito, Federico ; Martin, Nicolas F ; Starkenburg, Else...
https://research.rug.nl/en/publications/af285e29-ca40-4de5-954d-941adf495f52.  , 2020
Link: https://hdl.handle.net/1..
 
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14

Neuroharmony: a new tool for harmonizing volumetric MRI dat..:

Garcia-Dias, Rafael ; Scarpazza, Cristina ; Baecker, Lea...
https://doi.org/10.1016/j.neuroimage.2020.117127.  , 2020
Link: https://hdl.handle.net/1..
 
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15

The Pristine survey – X. A large population of low-metallic..:

Sestito, Federico ; Martin, Nicolas F ; Starkenburg, Else...
info:eu-repo/semantics/altIdentifier/doi/10.1093/mnrasl/slaa022.  , 2020
Link: https://hal.science/hal-..
 
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