Browse by UCL people
Group by: Type | Date
Number of items: 8.
Article
Ferreira, FS;
Mihalik, A;
Adams, RA;
Ashburner, J;
Mourao-Miranda, J;
(2022)
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets.
NeuroImage
, 249
, Article 118854. 10.1016/j.neuroimage.2021.118854.
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Mihalik, A;
Ferreira, F;
Moutoussis, M;
Ziegler, G;
Adams, RA;
Rosa, MJ;
Prabhu, G;
... Mourao-Miranda, J; + view all
(2020)
Multiple hold-outs with stability: improving the generalizability of machine learning analyses of brain-behaviour relationships.
Biological Psychiatry
, 87
(4)
pp. 368-376.
10.1016/j.biopsych.2019.12.001.
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Mihalik, A;
Ferreira, FS;
Rosa, MJ;
Moutoussis, M;
Ziegler, G;
Monteiro, JM;
Portugal, L;
... Mourao-Miranda, J; + view all
(2019)
Brain-behaviour modes of covariation in healthy and clinically depressed young people.
Scientific Reports
, 9
, Article 11536. 10.1038/s41598-019-47277-3.
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Schrouff, J;
Pischedda, D;
Genon, S;
Fryns, G;
Luísa Pinho, A;
Vassena, E;
Liuzzi, AG;
(2019)
Gender bias in (neuro)science: Facts, consequences, and solutions.
European Journal of Neuroscience
, 50
(7)
pp. 3094-3100.
10.1111/ejn.14397.
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Proceedings paper
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Ferreira, FS;
Rosa, MJ;
Moutoussis, M;
Dolan, R;
Shawe-Taylor, J;
Ashburner, J;
Mourao-Miranda, J;
(2018)
Sparse PLS hyper-parameters optimisation for investigating brain-behaviour relationships.
In:
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).
IEEE
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Mihalik, A;
Brudfors, M;
Robu, M;
Ferreira, FS;
Lin, H;
Rau, A;
Wu, T;
... Oxtoby, NP; + view all
(2019)
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.
In: Pohl, K and Thompson, W and Adeli, E and Linguraru, M, (eds.)
Adolescent Brain Cognitive Development Neurocognitive Prediction. ABCD-NP 2019. Lecture Notes in Computer Science.
(pp. pp. 133-142).
Springer: Cham.
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Oxtoby, NP;
Ferreira, FS;
Mihalik, A;
Wu, T;
Brudfors, M;
Lin, H;
Rau, A;
... Mourão-Miranda, J; + view all
(2019)
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
In: Pohl, K and Thompson, W and Adeli, E and Linguraru, M, (eds.)
Adolescent Brain Cognitive Development Neurocognitive Prediction. ABCD-NP 2019. Lecture Notes in Computer Science, vol 11791.
(pp. pp. 114-123).
Springer: Cham.
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Thesis
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Santos Ferreira, Fábio Daniel;
(2021)
Multi-view machine learning methods to uncover brain-behaviour associations.
Doctoral thesis (Ph.D), UCL (University College London).
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