| 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 | 157 | 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 | 79 | 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 | 74 | 2021 |
| 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 | 45 | 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 | 24 | 2023 |
| 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 | 24 | 2022 |
| Neuroimaging: into the multiverse J Dafflon, PF Da Costa, F Váša, RP Monti, D Bzdok, PJ Hellyer, ... bioRxiv, 2020.10. 29.359778, 2020 | 11 | 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 | 10 | 2020 |
| 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 | 10 | 2020 |
| 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, 536428, 2020 | 7 | 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 | 6 | 2022 |
| 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 | 3 | 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 | 2 | 2021 |
| 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 | 1 | 2023 |
| 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 |
| Brain Imaging Generation with Latent Diffusion Models PF Da Costa, V Fernandez, P Nachev, S Ourselin, MJ Cardoso Deep Generative Models, 117, 0 | | |
| Brain-age prediction using shallow machine learning: Predictive Analytics Competition PF Da Costa, J Dafflon, WHL Pinaya | | |
Walter Hugo Lopez PinayaKing's College LondonVerified email at kcl.ac.uk
