| 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 | 246 | 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 | 88 | 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 | 54 | 2023 |
| An automated machine learning approach to predict brain age from cortical anatomical measures J Dafflon, WHL Pinaya, F Turkheimer, JH Cole, R Leech, MA Harris, ... Human brain mapping 41 (13), 3555-3566, 2020 | 54 | 2020 |
| A guided multiverse study of neuroimaging analyses J Dafflon, PF Da Costa, F Váša, RP Monti, D Bzdok, PJ Hellyer, ... Nature Communications 13, 2022 | 51* | 2022 |
| Conflicting emergences. Weak vs. strong emergence for the modelling of brain function FE Turkheimer, P Hellyer, AA Kehagia, P Expert, LD Lord, J Vohryzek, ... Neuroscience & Biobehavioral Reviews 99, 3-10, 2019 | 37 | 2019 |
| Acute anxiety and autonomic arousal induced by CO2 inhalation impairs prefrontal executive functions in healthy humans G Savulich, FH Hezemans, S van Ghesel Grothe, J Dafflon, N Schulten, ... Translational Psychiatry 9 (1), 296, 2019 | 20 | 2019 |
| Experimentally induced and real-world anxiety have no demonstrable effect on goal-directed behaviour CM Gillan, MM Vaghi, FH Hezemans, S van Ghesel Grothe, J Dafflon, ... Psychological medicine 51 (9), 1467-1478, 2021 | 13 | 2021 |
| Brain-age prediction using shallow machine learning: predictive analytics competition 2019 PF Da Costa, J Dafflon, WHL Pinaya Frontiers in psychiatry 11, 604478, 2020 | 12 | 2020 |
| Large language models surpass human experts in predicting neuroscience results X Luo, A Rechardt, G Sun, KK Nejad, F Yáñez, B Yilmaz, K Lee, ... arXiv preprint arXiv:2403.03230, 2024 | 10 | 2024 |
| 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 | 8 | 2020 |
| Synthetic Sleep EEG Signal Generation using Latent Diffusion Models B Aristimunha, RY de Camargo, S Chevallier, O Lucena, AG Thomas, ... Deep Generative Models for Health Workshop NeurIPS 2023, 2023 | 6 | 2023 |
| Experimentally-induced and real-world anxiety have no demonstrable effect on goal-directed behaviour G Savulich III, C Gillan, M Vaghi, F Hezemans, S van Ghesel Grothe, ... Cambridge University Press, 2020 | 6* | 2020 |
| Transformer-based normative modelling for anomaly detection of early schizophrenia PF Da Costa, J Dafflon, SL Mendes, JR Sato, MJ Cardoso, R Leech, ... arXiv preprint arXiv:2212.04984, 2022 | 4 | 2022 |
| Realistic morphology-preserving generative modelling of the brain PD Tudosiu, WHL Pinaya, P Ferreira Da Costa, J Dafflon, A Patel, ... Nature Machine Intelligence, 1-9, 2024 | 3 | 2024 |
| Reliability and predictability of phenotype information from functional connectivity in large imaging datasets J Dafflon, D Moraczewski, E Earl, DM Nielson, G Loewinger, P McClure, ... ArXiv, 2024 | | 2024 |
| Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | | 2023 |
| Machine Learning Methods in Neuroimaging J Dafflon King's College London, 2020 | | 2020 |
| Toward metabolic insight into the reward circuitry in addiction: a novel small-voxel 1H-MRS protocol E Engeli, A Hock, N Zölch, J Dafflon, M Scheidegger, L Hulka, E Seifritz, ... 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), 2016 | | 2016 |
| Unveiling metabolic alterations within the human reward circuitry in addiction by using a novel small-voxel, 1H-MRS (spectroscopy) protocol in the nucleus accumbens EJE Engeli, A Hock, N Zölch, J Dafflon, M Scheidegger, LM Hulka, ... 28th European College Neuropsychopharmacology Congress (ECNP 2015), S610-S611, 2015 | | 2015 |
Walter Hugo Lopez PinayaKing's College LondonVerified email at kcl.ac.uk
