Jessica Dafflon
Affiliations: | 2017-2021 | King's College London, London, UK |
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| Luo X, Rechardt A, Sun G, et al. (2024) Large language models surpass human experts in predicting neuroscience results. Nature Human Behaviour |
| Tudosiu PD, Pinaya WHL, Ferreira Da Costa P, et al. (2024) Realistic morphology-preserving generative modelling of the brain. Nature Machine Intelligence. 6: 811-819 |
| Dafflon J, Moraczewski D, Earl E, et al. (2024) Reliability and predictability of phenotype information from functional connectivity in large imaging datasets. Arxiv |
| Dafflon J, F Da Costa P, Váša F, et al. (2022) A guided multiverse study of neuroimaging analyses. Nature Communications. 13: 3758 |
| Baecker L, Dafflon J, da Costa PF, et al. (2021) Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data. Human Brain Mapping |
| Da Costa PF, Dafflon J, Pinaya WHL. (2020) Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019. Frontiers in Psychiatry. 11: 604478 |
| Turkheimer FE, Fagerholm ED, Vignando M, et al. (2020) A GABA Interneuron Deficit Model of the Art of Vincent van Gogh. Frontiers in Psychiatry. 11: 685 |
| Dafflon J, Pinaya WHL, Turkheimer F, et al. (2020) An automated machine learning approach to predict brain age from cortical anatomical measures. Human Brain Mapping |