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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. **Unfortunately these do not currently work in browsers**

SINAPSE eLearning website

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

Past Events

2021 ASM: Virtual Meeting Summary and presentations

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More past events...

People

Your search for Keyword: 'Image segmentation' returned 7 Result(s)

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Dr Ankush Aggarwal

Computational cardiovascular mechanics

 

The aim of my research is to generate new scientific knowledge and methods using innovative ideas in numerical methods and biomechanics that contribute towards improved cardiovascular healthcare.

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Mr Thomas Biggans


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Dr Calum Gray


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Mr Kangwa Nkonde


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Mr Fraser Sneden

I am a PhD student within the Institute of Cardiovascular and Medical Sciences, based at the Queen Elizabeth University Hospital in Glasgow. I am working on a project entitled "Magnetic Resonance Imaging to Assess Carotid-Brain Interactions in People with Stroke", as part of the XILO-FIST clinical trial.

 

I am interested in exploring the relationship between carotid artery structure, brain structure and cognition in ischaemic stroke, and develop an automated tool that will estimate vascular parameters of carotid structure including stenosis. Additionally, I aim to investigate any effects allopurinol has on carotid artery structure, including % stenosis and intima-media thickness. 

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Dr Steven Williams


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Dr Shufan Yang

Dr Shufan Yang is the Associate Professor in Computational Intelligence, at the software engineering technology (SET) subject group, School of Computing, Edinburgh Napier University. Her current research interests include cognitively inspired AI, reinforcement learning, deep learning, computer vision and AI+healthcare, especially ambient intelligent systems for healthcare delivery. Her research has been supported by SYNAPSES, Innovative UK, EU Horizon, British Council, EPSRC in the past couple of years. She is a Charted Engineer (CEng), Fellow of BCS, Senior member of IEEE.

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