2020 SINAPSE ASM Jun 19, 2020 09:00 AM - 05:00 PM — Virtual Meeting (online)
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

Brains visiting students

Home Topbar Brains

BRAINS: Brain Images of Normal Subjects

Eilidh Edmiston was a visiting student on the BRAINS project in summer 2015, as part of a Nuffield Research Placement (http://www.nuffieldfoundation.org/nuffield-research-placements). She piloted and adapted a questionnaire to understand how clinicians use brain image templates, which will inform a wider online survey.

Eilidh

Eilidh presenting her poster at the Royal College of Physicians of Edinburgh.

Juyoung Lee and Daniel Taylor were visiting students on the BRAINS project in summer 2014.

Juyoung

Juyoung conducted a systematic review of structural brain MRI atlases. This review documented the subjects and methods used to create structural brain MRI atlases. Initial results show that older subjects (>60 years) were often under-represented and that parametric methods were most commonly used to combine individual images into an atlas.

Daniel 1

Daniel developed a questionnaire to aid design of a brain MRI atlas interface for supporting radiological diagnoses in individual patients. The questionnaire assessed user preferences and specific features that would be useful in clinical versus research environments. Daniel completed pilot testing of the questionnaire and it will soon be mass distributed electronically to mailing lists of clinicians and researchers.

Daniel 2