RiiSE20 Conference [postponed] Apr 04, 2020 08:30 AM - 05:00 PM — Chancellor’s Building, Edinburgh BioQuarter
Scottish Clinical Imaging Network (SCIN) Annual Event 2020 [postponed] Apr 30, 2020 09:00 AM - 04:00 PM — Glasgow Caledonian University
NCITA National Conference: Translating Imaging Biomarkers for Improved Patient Outcomes [postponed] May 05, 2020 10:00 AM - 05:00 PM — New Hunt's House, Guy's Campus, King's College London
Scottish Radiological Society Spring Meeting 2020 [postponed] May 15, 2020 09:00 AM - 04:10 PM — Centre for Health Science, Inverness
2020 SINAPSE ASM Jun 19, 2020 09:00 AM - 05:00 PM — Virtual Meeting (online)

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: 'Alzheimer's' returned 16 Result(s)

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Dr Arnab Rana

  • Hippocampal atrophy
  • Cognitive ageing
  • Stroke
  • Brain tumours

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Miss Leeseul Shim


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Mr Keith Smith


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Shaun R. Stone

Shaun Stone is a final year Ph.D. ERC studying Medical Imaging at the University of Aberdeen under the supervision of Professor Alison Murray. He is the deputy student lead of the Image Analysis group of the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), a consortium of seven Scottish universities. His research is titled “Cognitive Reserve Estimation Models from Brain MRI in Healthy Ageing: A Machine Learning Approach”, under the supervision of 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 partners IXICO.

His project aims to identify the most important MR imaging biomarkers that influence differences in cognitive resilience. That is, given the life-course of an individual, what are the imaging characteristics that allow us to predict increased risk of cognitive impairment? Further, what factors provide resilience against age- and disease-related brain changes? He is passionate about computational neuroscience, artificial intelligence and computer-assisted diagnosis in medical imaging. 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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Miss Jennifer Waymont

Jenny Waymont is a PhD candidate in Medical Imaging at the University of Aberdeen. Her PhD thesis is on the automated detection and analysis of white matter hyperintensities in healthy ageing and in neurodegenerative disorders. Jenny’s background is in psychology, having gained a BSc (hons) in Psychology with Clinical and Health Psychology, an MSc in Psychological Research, and an MSc in Neuroimaging, all within the School of Psychology at Bangor University in North Wales. During this time, she developed research experience across a range of topics, including personality and substance misuse, evidence-based medicine and clinicians’ prescribing behaviours, language acquisition and bilingual aphasia, and social perception.

Jenny’s research interests lie within the intersection of the brain and the mind, with a particular interest in psychosocial influences on brain ageing processes. Currently, Jenny is analysing brain MRI data from large healthy ageing cohort studies (the ‘Aberdeen Children of the 1950s’ and the ‘Stratifying Resilience Against Depression Longitudinally’ studies), and from a Phase III clinical trial for Alzheimer’s disease, to determine the risk factors and outcomes of increased white matter hyperintensity burden in older adults.

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Mr Steven Winata


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