Jessica Dafflon
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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
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
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
A guided multiverse study of neuroimaging analyses
J Dafflon, PF Da Costa, F Váša, RP Monti, D Bzdok, PJ Hellyer, ...
Nature Communications 13, 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
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
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
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
Brain-age prediction using shallow machine learning: predictive analytics competition 2019
PF Da Costa, J Dafflon, WHL Pinaya
Frontiers in psychiatry 11, 604478, 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
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
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
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
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
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
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
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ...
Machine Learning for Health (ML4H), 1-12, 2023
Machine Learning Methods in Neuroimaging
J Dafflon
King's College London, 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
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
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Articles 1–20