RiiSE20 Conference Apr 04, 2020 08:30 AM - 05:00 PM — Chancellor’s Building, Edinburgh BioQuarter
Scottish Clinical Imaging Network (SCIN) Annual Event 2020 Apr 30, 2020 09:00 AM - 04:00 PM — Glasgow Caledonian University
NCITA National Conference: Translating Imaging Biomarkers for Improved Patient Outcomes 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 May 15, 2020 09:00 AM - 04:10 PM — Centre for Health Science, Inverness
2020 SINAPSE ASM Jun 18, 2020 - Jun 19, 2020 — Medical Sciences Building, University of St Andrews

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

Edinburgh SPM Course 2013

Four day course covering all MRI-related aspects of SPM
When Apr 22, 2013 08:30 AM to
Apr 25, 2013 05:30 PM
Where 7 George Square, University of Edinburgh
Contact Name
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This four-day course (22nd April - 25th.April) offers comprehensive coverage of all MRI-related aspects of SPM. Days 1 and 2 are aimed at beginners with little or no SPM experience, and we will cover all the basic analysis steps from spatial preprocessing to statistical analysis with the General Linear Model and data visualization and presentation. Days 3 and 4 are aimed at a more advanced audience, with topics ranging from Bayesian analysis methods and voxel-based morphometry to multivariate pattern classification and effective connectivity analysis. Both parts of the course can be booked separately or as a whole.

PARTICULAR FEATURES OF THIS COURSE

• coverage of cutting-edge analysis tools in SPM8, including pattern classification and Dynamic Causal Modelling

• theoretical lectures in the morning, practical and user-driven sessions at the computer in the afternoon For the beginners, one computer per person is available. For the advanced users, small groups will interact with a tutor for a demonstration.

• all presentations are generously timed, allowing for plenty of questions and in-depth discussions

The faculty includes Edinburgh Uni

John Ashburner (London)
Jean Daunizeau (Paris)
Alexa Morcom (Edinburgh) 
Cyril Pernet (Edinburgh) 
Mohamed Seghier (London) 
Jason Taylor (Cambridge) 
Thomas Wolbers (Leipzig)