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Vieira, Sandra
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1

PsyCog:A computerised mini battery for assessing cognition ..:

Gifford, George ; Cullen, Alexis E ; Vieira, Sandra...
https://cris.maastrichtuniversity.nl/en/publications/50196f8b-bfd5-40aa-8b21-518fc5e0fd1a.  , 2024
Link: https://cris.maastrichtu..
 
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2

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

Garcia Dias, Rafael ; Scarpazza, Cristina ; Baecker, Lea...
NeuroImage, 220..  , 2023
Link: https://idus.us.es/handl..
 
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3

Using machine learning and structural neuroimaging to detec..:

Vieira, Sandra ; Gong, Qi Yong ; Pinaya, Walter H.L...
Schizophrenia Bulletin: The Journal of Psychoses and Related Disorders, 46 (1), 17-26..  , 2023
Link: https://idus.us.es/handl..
 
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4

Editorial: Neuroimaging in early intervention in psychiatry:

Duarte, João Valente ; Vieira, Sandra ; Madeira, Nuno
1664-0640.  , 2023
Link: https://hdl.handle.net/1..
 
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5

Graph convolutional networks reveal network-level functiona..:

Lei, Du ; Qin, Kun ; Pinaya, Walter H L...
https://kclpure.kcl.ac.uk/portal/en/publications/d875359a-fa66-4d3e-b2f4-056d98033fe8.  , 2022
Link: https://kclpure.kcl.ac.u..
 
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6

Can we predict who will benefit from cognitive-behavioural ..:

Vieira, Sandra ; Liang, Xinyi ; Guiomar, Raquel.
Vieira , S , Liang , X , Guiomar , R & Mechelli , A 2022 , ' Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies ' , Clinical Psychology Review , vol. 97 , 102193 . https://doi.org/10.1016/j.cpr.2022.102193.  , 2022
Link: https://kclpure.kcl.ac.u..
 
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7

Neuroanatomical abnormalities in first-episode psychosis ac..:

Vieira, Sandra ; Gong, Qiyong ; Scarpazza, Cristina...
Psychological Medicine, 51 (2), 340-350..  , 2022
Link: https://idus.us.es/handl..
 
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8

Graph Convolutional Networks Reveal Network-Level Functiona..:

Lei, Du ; Qin, Kun ; Pinaya, Walter H L...
Lei , D , Qin , K , Pinaya , W H L , Young , J , van Amelsvoort , T , Marcelis , M , Donohoe , G , Mothersill , D O , Corvin , A , Vieira , S , Lui , S , Scarpazza , C , Arango , C , Bullmore , E , Gong , Q , McGuire , P & Mechelli , A 2022 , ' Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia ' , Schizophrenia Bulletin , vol. 48 , no. 4 , pp. 881-892 . https://doi.org/10.1093/schbul/sbac047.  , 2022
Link: https://cris.maastrichtu..
 
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9

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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10

Using normative modelling to detect disease progression in ..:

Lopez Pinaya, Walter ; Scarpazza, Cristina ; Garcia Dias, Rafael...
Lopez Pinaya , W , Scarpazza , C , Garcia Dias , R , Vieira , S , Baecker , L , Da Costa , P F , Redolfi , A , Frisoni , G , Pievani , M , Calhoun , V , Sato , J & Mechelli , A 2021 , ' Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort study ' , Scientific Reports ..  , 2021
Link: https://kclpure.kcl.ac.u..
 
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11

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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12

Brain age prediction: A comparison between machine learning..:

Baecker, Lea ; Dafflon, Jessica ; Da Costa, Pedro F...
https://kclpure.kcl.ac.uk/portal/en/publications/59a7ce75-eb71-476f-969d-f137e12047e3.  , 2021
Link: https://kclpure.kcl.ac.u..
 
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13

Brain age prediction: A comparison between machine learning..:

Baecker, Lea ; Dafflon, Jessica ; Da Costa, Pedro F...
Baecker , L , Dafflon , J , Da Costa , P F , Garcia Dias , R , Vieira , S , Scarpazza , C , Calhoun , V D , Sato , J R , Mechelli , A & Pinaya , W H L 2021 , ' Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data ' , Human Brain Mapping , vol. 42 , no. 8 , pp. 2332-2346 . https://doi.org/10.1002/hbm.25368.  , 2021
Link: https://kclpure.kcl.ac.u..
 
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14

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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15

Neuroanatomical abnormalities in first-episode psychosis ac..:

Vieira, Sandra ; Gong, Qiyong ; Scarpazza, Cristina...
https://doi.org/10.1017/S0033291719003568.  , 2021
Link: https://hdl.handle.net/1..
 
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