Brain imaging generation with latent diffusion models WHL Pinaya, PD Tudosiu, J Dafflon, PF Da Costa, V Fernandez, ... MICCAI Workshop on Deep Generative Models, 117-126, 2022 | 325 | 2022 |
Fast unsupervised brain anomaly detection and segmentation with diffusion models WHL Pinaya, MS Graham, R Gray, PF Da Costa, PD Tudosiu, P Wright, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 128 | 2022 |
Brain age prediction: A comparison between machine learning models using region‐and voxel‐based morphometric data L Baecker, J Dafflon, PF Da Costa, R Garcia‐Dias, S Vieira, C Scarpazza, ... Human brain mapping 42 (8), 2332-2346, 2021 | 96 | 2021 |
Generative ai for medical imaging: extending the monai framework WHL Pinaya, MS Graham, E Kerfoot, PD Tudosiu, J Dafflon, V Fernandez, ... arXiv preprint arXiv:2307.15208, 2023 | 82 | 2023 |
Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study WHL Pinaya, C Scarpazza, R Garcia-Dias, S Vieira, L Baecker, ... Scientific reports 11 (1), 15746, 2021 | 56 | 2021 |
A guided multiverse study of neuroimaging analyses J Dafflon, P F. Da Costa, F Váša, RP Monti, D Bzdok, PJ Hellyer, ... Nature Communications 13 (1), 3758, 2022 | 42 | 2022 |
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease WHL Pinaya, C Scarpazza, R Garcia-Dias, S Vieira, L Baecker, ... bioRxiv, 2020.02. 10.931824, 2020 | 16 | 2020 |
Brain-age prediction using shallow machine learning: predictive analytics competition 2019 PF Da Costa, J Dafflon, WHL Pinaya Frontiers in psychiatry 11, 604478, 2020 | 14 | 2020 |
Neuroimaging: into the multiverse J Dafflon, PF Da Costa, F Váša, RP Monti, D Bzdok, PJ Hellyer, ... bioRxiv, 2020.10. 29.359778, 2020 | 12 | 2020 |
Proving and improving the reliability of infant research with neuroadaptive Bayesian optimization A Gui, EV Throm, PF da Costa, R Haartsen, R Leech, EJH Jones Infant and Child Development 31 (5), e2323, 2022 | 9 | 2022 |
A GABA interneuron deficit model of the art of Vincent van Gogh FE Turkheimer, ED Fagerholm, M Vignando, J Dafflon, PF Da Costa, ... Frontiers in Psychiatry 11, 685, 2020 | 9 | 2020 |
Realistic morphology-preserving generative modelling of the brain PD Tudosiu, WHL Pinaya, P Ferreira Da Costa, J Dafflon, A Patel, ... Nature Machine Intelligence 6 (7), 811-819, 2024 | 8 | 2024 |
Real-time monitoring of infant theta power during naturalistic social experiences E Throm, A Gui, R Haartsen, PF da Costa, R Leech, EJH Jones Developmental Cognitive Neuroscience 63, 101300, 2023 | 6 | 2023 |
Transformer-based normative modelling for anomaly detection of early schizophrenia PF da Costa, J Dafflon, SL Mendes, JR Sato, MJ Cardoso, R Leech, ... Empowering Communities: A Participatory Approach to AI for Mental Health, 2022 | 4 | 2022 |
Neuroadaptive electroencephalography: a proof-of-principle study in infants PF da Costa, R Haartsen, E Throm, L Mason, A Gui, R Leech, EJH Jones arXiv preprint arXiv:2106.06029, 2021 | 4 | 2021 |
Neuroadaptive Bayesian optimisation to study individual differences in infants’ engagement with social cues A Gui, E Throm, PF da Costa, F Penza, MA Mayans, A Jordan-Barros, ... Developmental Cognitive Neuroscience, 101401, 2024 | 1 | 2024 |
Bayesian optimization for automatic design of face stimuli PF Da Costa, R Lorenz, RP Monti, E Jones, R Leech arXiv preprint arXiv:2007.09989, 2020 | 1* | 2020 |
Elucidating Cognitive Processes Using LSTMs PF da Costa, S Popescu, R Leech, R Lorenz CCN19, 2019 | 1 | 2019 |
Holographic Storage for the Cloud: advances and challenges N Cheriere, J Chu, G Brennan, P Cameron, P Da Costa, J Gladrow, ... ACM Transactions on Storage 21 (1), 1-31, 2025 | | 2025 |
Combining Real‐Time Neuroimaging With Machine Learning to Study Attention to Familiar Faces During Infancy: A Proof of Principle Study E Throm, A Gui, R Haartsen, PF da Costa, R Leech, L Mason, EJH Jones Developmental Science 28 (1), e13592, 2025 | | 2025 |