I am a postdoctoral researcher at the Wellcome Centre for Integrative Neuroimaging (WIN). My research focuses on brain MRI analysis in ageing, Alzheimer’s disease, Parkinson’s disease and vascular disease, looking for early signs of dementia and neurodegeneration.
I am a member of the Translational Neuroimaging Group (TNG) and I am passionate about making research translational and applicable in clinical settings. To this aim I am currently involved in projects that aim to harmonise MRI-derived measures across sites/studies.
As a member of the WIN Analysis group I am also involved in the development of methodological approaches for structural MRI (automated lesions segmentation) and resting state fMRI (artefact removal and reproducibility assessments) part of the FSL image analysis software package.
I co-lead the Dementias Platform UK (DPUK) Work Package 22: Image processing pipelines.
Teaching and Training
I am involved in post-graduate supervision and in teaching, both within the University of Oxford and at the international FSL course.
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), J Cereb Blood Flow Metab
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.
Sundaresan V. et al, (2021), Med Image Anal, 74
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
Brain imaging before and after COVID-19 in UK Biobank.
Douaud G. et al, (2021), medRxiv
Adapting the UK Biobank brain imaging protocol and analysis pipeline for the C-MORE multi-organ study of COVID-19 survivors
Griffanti L. et al, (2021)