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

RSE International Exchange Grants awarded to SINAPSE researchers

SINAPSE image analysis experts to travel to Taiwan for international research collaboration on diffusion MRI data analysis

Dr Gordon Waiter from the University of Aberdeen and Dr David Dickie from the University of Edinburgh have been awarded International Exchange Grants by the Royal Society of Edinburgh (RSE) to visit the lab of Professor Wen-Yih Isaac Tseng at National Taiwan University in Taipei, Taiwan.  The funding scheme is a partnership between RSE and the Ministry of Science and Technology (MoST), Taiwan.

Dr Waiter and Dr Dickie's visit to Taiwan will initiate an international research collaboration on diffusion MRI data analysis.  Professor Tseng and colleagues have developed novel techniques for the analysis of white matter fibre connections in the brain, and in collaboration with SINAPSE centres the techniques will be introduced to Scottish imaging researchers and applied to Scottish ageing and birth cohort imaging data.