Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Publications

Normative models for neuroimaging markers: Impact of model selection, sample size and evaluation criteria.

Bozek J. et al, (2023), Neuroimage, 268

Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy.

Rafipoor H. et al, (2022), Neuroimage, 260

Adults with tetralogy of Fallot show specific features of cerebral small vessel disease: the BACH San Donato study.

Melazzini L. et al, (2022), Brain Imaging Behav, 16, 1721 - 1731

Resting-state, structural and diffusion MRI metrics related to fatigue in MS, MOGAD AND NMOSD

Camera V. et al, (2022), EUROPEAN JOURNAL OF NEUROLOGY, 29, 782 - 783

Association of cerebral small vessel disease burden with brain structure and cognitive and vascular risk trajectories in mid-to-late life.

Jansen MG. et al, (2022), J Cereb Blood Flow Metab, 42, 600 - 612

SARS-CoV-2 is associated with changes in brain structure in UK Biobank.

Douaud G. et al, (2022), Nature, 604, 697 - 707

SARS-CoV-2 is associated with changes in brain structure in UK Biobank.

Douaud G. et al, (2022), medRxiv

Author Correction: Mapping brain structural differences and neuroreceptor correlates in Parkinson's disease visual hallucinations.

Vignando M. et al, (2022), Nat Commun, 13

Mapping brain structural differences and neuroreceptor correlates in Parkinson's disease visual hallucinations.

Vignando M. et al, (2022), Nat Commun, 13

Adapting UK Biobank imaging for use in a routine memory clinic setting: The Oxford Brain Health Clinic.

Griffanti L. et al, (2022), Neuroimage Clin, 36

Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank

Sundaresan V. et al, (2022), Proceedings - International Symposium on Biomedical Imaging, 2022-March

Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study.

Duff E. et al, (2022), PLoS One, 17

Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.

Sundaresan V. et al, (2021), Med Image Anal, 74

Intrinsic network activity reflects the ongoing experience of chronic pain.

Jahn P. et al, (2021), Sci Rep, 11

BIANCA-MS: A novel artificial intelligence tool for multiple sclerosis automated lesions segmentation

Gentile G. et al, (2021), JOURNAL OF THE NEUROLOGICAL SCIENCES, 429

Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.

Sundaresan V. et al, (2021), Med Image Anal, 73

Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets.

Bordin V. et al, (2021), Neuroimage, 237

White Matter Hyperintensities Quantification in Healthy Adults: A Systematic Review and Meta-Analysis.

Melazzini L. et al, (2021), J Magn Reson Imaging, 53, 1732 - 1743

Association of cerebral small vessel disease burden with brain structure and cognitive and vascular risk trajectories in mid-to-late life

Jansen MG. et al, (2021), medArxiv

Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging.

Anatürk M. et al, (2021), Hum Brain Mapp, 42, 1626 - 1640

Load More

1
2
3
4
5
6

Include forthcoming?