3rd International Conference on Medical Imaging with Deep Learning Jul 06, 2020 - Jul 08, 2020 — Virtual Meeting (online)
Medical Image Understanding and Analysis Conference 2020 Jul 15, 2020 - Jul 17, 2020 — Virtual Meeting (online)
CAFACHEM 2020 Summer School on Organic & Halogen Radiochemistry Aug 25, 2020 - Aug 28, 2020 — KCL Waterloo Campus, London
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

People

Your search for Keyword: 'White matter disease' returned 16 Result(s)

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Dr Lucia Ballerini

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.

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Dr Cassandra Sampaio Baptista

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.

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Dr Una Clancy

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

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Sean Denham


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Dr David Alexander Dickie

Structural brain ageing

White matter disease

Cognitive ageing

Stroke

Image Analysis

Alzheimer's disease and other dementias

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Miss Emma Elliott


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Miss Maria Goni


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Miss Charlene Hamid


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Olivia Hamilton

I am interested in the vulnerability of the ageing brain, especially changes cognitive ability and behaviour that can occur as part of 'healthy' ageing, or as a result of diseases such as stroke or dementia.

My PhD project focuses on changes in cognitive ability in cerebral small vessel disease and how this might relate to structural brain changes that occur throughout the disease course.

Currently, I am conducting a systematic review on the associations between domain specific cognitive ability and structural brain changes (visible on MRI) in sporadic small vessel disease (https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=80215). I am also employing structural equation modelling techniques to investigate the relationship between visible MRI markers of sporadic small vessel disease and cognitive ability longitudinally in several large cohorts.

My research aims to better characterise the cognitive symptomatology of cerebral small vessel disease and its trajectory over the disease course; examine how this relates to underlying changes in brain structure; and to explore how we can use neuroimaging, psychological and epidemiological data to more accurately predict outcomes for people with cerebral small vessel disease.

Supervisors: Professor Joanna Wardlaw and Professor Ian Deary

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Ms Shadia Mikhael


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