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• Stochastic variational inference improves the quantification of multiple timepoint arterial spin labelling perfusion MRI, Frontiers Neuroscience (2025)
• BASIL: A toolbox for perfusion quantification using arterial spin labelling, Imaging Neuroscience (2023)
• Unified surface and volumetric inference on functional imaging data, Medical Image Computing and Computer Assisted Intervention (2023)
• Toblerone: surface-based partial volume estimation, IEEE Transactions on Medical Imaging (2019)
• Variational Bayesian inference for a nonlinear forward model, IEEE Transactions on Signal Processing (2008)
• Combined spatial and non-spatial prior for inference on MRI time-series, NeuroImage (2009)
• Separation of intravascular signal in multi-inversion time arterial spin labelling MRI, Magnetic Resonance in Medicine (2010)
• Partial volume correction of multiple inversion time arterial spin labelling MRI data, MagneticResonance in Medicine (2011)
Imaging Studies
• Arterial spin labelling perfusion MRI analysis for the Human Connectome Project Lifespan Ageing and Development studies, Imaging Neuroscience (2025)
• Thalamus normalisation improves detectability of hypoperfusion via arterial spin labelling in an Alzheimer’s disease cohort, medRxiv (2024)
• Age-related normative changes in cerebral perfusion: Data from The Irish Longitudinal Study on Ageing (TILDA), NeuroImage (2021)
• Patient-specific detection of cerebral blood flow alterations as assessed by arterial spin labeling in drug-resistant epileptic patients, PloS One (2015)
• Aerobic fitness is associated with greater hippocampal cerebral blood flow in children, Developmental Cognitive Neuroscience (2016)
• Quantification of serial cerebral blood flow in acute stroke using arterial spin labelling, Stroke (2017)
• Relationship between haemodynamic impairment and collateral blood flow in carotid artery disease, Journal of Cerebral Blood Flow & Metabolism (2018)
