People

I am a researcher in image analysis. I developed theoretical and application oriented methods. I have been working with different kind of images: medical, food, radar, robotic and forensic images. Recently I worked with skin lesion images and retinal images. See my 100+ publications (google scholar or researchgate) for more details

I am presently working MR brain images.

My research focuses on functional and structural plasticity with learning and rehabilitation in both humans and rodents.

I use behavioural training interventions and test how factors such as performance level or amount of practice influence brain changes at a functional, structural and neurochemical level in humans (fMRI, rs-fMRI, DTI and MR spectroscopy).

Additionally, I use real-time neurofeedback fMRI to test if endogenous brain activity modulation can lead to functional brain changes and behavioural improvements in healthy participants and chronic stroke survivors.

My preclinical work focuses on the underlying cellular mechanisms of brain plasticity, with a focus on white matter and myelination.

I am analysing subtle symptoms of cerebral SVD in in relation to imaging correlates, which is important in order to translate radiological evidence of ‘silent’ SVD into clinically significant outcomes. I am characterising these symptoms in relation to progression of SVD radiologically based on longitudinal disease progression on MRI. This work will allow us to identify those individuals with early features of SVD, before significant disease progression occurs. Identifying the disease early will be central to future dementia and stroke prevention. I am currently involved in the Mild Stroke Study 3, the R4VaD Study and the LACI-2 Study.

Supervisors: Prof. Joanna Wardlaw and Dr Fergus Doubal

Structural brain ageing

White matter disease

Cognitive ageing

Stroke

Image Analysis

Alzheimer's disease and other dementias

Machine learning, Big Data Analysis, Data Integration, Neonatal MRI, Cognitive Neuroscience, Predictive Modelling