4th International Conference on Medical Imaging with Deep Learning Jul 07, 2021 - Jul 09, 2021 — Virtual Meeting (online)
Medical Image Understanding and Analysis Conference 2021 Jul 12, 2021 - Jul 14, 2021 — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
2021 SINAPSE ASM Sep 16, 2021 - Sep 17, 2021 — Technology & Innovation Centre, University of Strathclyde, 99 George Street, Glasgow
Total Body PET 2021 conference [rescheduled] Sep 22, 2021 - Sep 24, 2021 — 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

New online course for SINAPSE members on MATLAB for Image Analysis

February 2021 - New online course for SINAPSE members on MATLAB for Image Analysis

Co-organised by the SINAPSE Image Analysis topic group and MathWorks, an online course on MATLAB for Image Analysis will begin on 8th February 2021 (2-4pm) and then continue on a fortnightly basis on Mondays at the same time. No previous knowledge of programming is required.

The first session will offer a general 'Introduction to MATLAB' to cover the basics, then following hands-on sessions are planned to cover topics including image processing, machine learning, deep learning, and visualisation. Course participants will have the opportunity to get feedback from MATLAB developers directly and to learn from them.

This course is free for SINAPSE members but registration is required via Eventbrite: https://www.eventbrite.co.uk/e/sinapse-iamathworks-matlab-course-tickets-138580266307

Questions (or requests to join the course after the first session) can be directed to Dr Amir Dehsarvi: