Publications

Lea Baecker, Jessica Dafflon, Pedro F. da Costa, Rafael Garcia-Dias, Sandra Vieira, Cristina Scarpazza, Vince D. Calhoun, João R. Sato, Andrea Mechelli, Walter H.L. Pinaya (2021). Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data. Hum. Brain Mapp..

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W. Pinaya, Cristina Scarpazza, Lea Baecker, P. da Costa (2020). Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer's disease. bioRxiv.

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Jessica Dafflon, Pedro F. da Costa, František Váša, Ricardo Pio Monti, Danilo Bzdok, Peter J. Hellyer, Federico Turkheimer, Jonathan Smallwood, Emily Jones, Robert Leech (2020). Neuroimaging: Into the multiverse. bioRxiv.

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Pedro F. da Costa, Jessica Dafflon, Walter H. L. Pinaya (2020). Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019. Frontiers in Psychiatry.

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P. da Costa, R. Lorenz, R. Monti, E. Jones, R. Leech (2020). Bayesian Optimization for real-time, automatic design of face stimuli in human-centred research. ICML2020 - WS AutoML.

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Federico E. Turkheimer, Erik D. Fagerholm, Miriam Vignando, Jessica Dafflon, Pedro F. da Costa, Paola Dazzan, Robert Leech (2020). A GABA Interneuron Deficit Model of the Art of Vincent van Gogh. Front. Psychiatry.

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P. da Costa, S. Popescu, R. Leech, R Lorenz (2019). Elucidating Cognitive Processes Using LSTMs. CCN2019.

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P. da Costa, R. Nunes, R. Leech (2018). Application of Artificial Neural Networks for modelling cognitive dimensions. Master Thesis.

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