Upcoming Events

PET is Wonderful Annual Meeting 2018 Oct 29, 2018 09:00 AM - 05:00 PM — South Hall Complex, Pollock Halls, University of Edinburgh
2018 NHS Research Scotland Annual Conference Oct 30, 2018 09:00 AM - 05:00 PM — Perth Concert Hall
8th SINAPSE Neuro-oncology Meeting Oct 30, 2018 09:30 AM - 04:00 PM — Royal College of Physicians and Surgeons of Glasgow, 232-242 St Vincent Street, Glasgow
Image Guided Therapies Network+ Tri-Annual Meeting Nov 01, 2018 10:00 AM - 05:00 PM — Wolfson Lecture Theatre, Ninewells Hospital, Dundee
7th Annual Scottish Radiotherapy Research Forum Nov 01, 2018 10:00 AM - 04:30 PM — Stirling Court Hotel, University of Stirling

People


Your search for Keyword: 'Database' returned 6 Result(s)



A Brooks


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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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Dr Dominic Job

I am interested in all forms of brain imaging, primarily structural MRI, and currently working on multicentre, normative brain imaging and stroke.

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Dr Grant Mair

My primary research interest is the imaging of ischaemic stroke.

Since 2012, I have been working on subgroup analyses of imaging from the Third International Stroke Trial (IST-3), a large randomised-controlled trial of intravenous alteplase versus control.

In particular, I am investigating whether imaging evidence of arterial obstruction (e.g. hyperdense artery sign as a surrogate marker or flow deficits on CT/MR angiography) and the results from advanced CT/MR perfusion techniques should influence our decision to treat patients with intravenous thrombolytic drugs.  This is especially important in an era where ischaemic stroke treatment is changing with new evidence supporting the use of direct clot retrieval.

I am also developing interests in the use of computational systems for the automated analysis of CT imaging in stroke and natural language processing algorithms for identifying and classifying stroke patients from within very large radiology report datasets.

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Dr Sankaranarayanan Ramachandran


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Mr Shaun R. Stone

Shaun is currently on his second year of his PhD studentship in Medical Imaging at the University of Aberdeen. His project is titled, “Prediction Models of Dementia Risk from Brain MR and Proxies of Cognitive Reserve” with Professor Alison D. Murray (University of Aberdeen), Dr Roger Staff (NHS), Professor Joanna Wardlaw, Professor Craig Ritchie (University of Edinburgh) and Dr Robin Wolz (IXICO). Cosupervisors to this project at Dr Gordon Waiter and Dr Anca Sandu-Giuraniuc. His project is funded by SINAPSE and industry partnership IXICO. Shaun completed his undergraduate (BSc) degree in Psychology with Neuroscience, and postgraduate (MSc) degree in Neuroimaging at Bangor University, North Wales - where he gained experience using a range of neuroimaging techniques. Shaun continues to learn, using his neuro-background to transfer into computational medicine and diagnostic imaging and is looking forward to his future career in research or industry, thanks to this opportunity.

Shaun is currently on his second year of his PhD studentship in Medical Imaging at the University of Aberdeen. His project is titled, “Prediction Models of Dementia Risk from Brain MR and Proxies of Cognitive Reserve” with Professor Alison D. Murray (University of Aberdeen), Dr Roger Staff (NHS), Professor Joanna Wardlaw, Professor Craig Ritchie (University of Edinburgh) and Dr Robin Wolz (IXICO). Cosupervisors to this project at Dr Gordon Waiter and Dr Anca Sandu-Giuraniuc. His project is funded by SINAPSE and industry partnership IXICO. Shaun completed his undergraduate (BSc) degree in Psychology with Neuroscience, and postgraduate (MSc) degree in Neuroimaging at Bangor University, North Wales - where he gained experience using a range of neuroimaging techniques. Shaun continues to learn, using his neuro-background to transfer into computational medicine and diagnostic imaging and is looking forward to his future career in research or industry, thanks to this opportunity.

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