Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
2nd Scottish Ultrasound Annual Scientific Meeting Feb 28, 2020 10:00 AM - 05:00 PM — Collins Building, University of Strathclyde
8th Annual Scottish Radiotherapy Research Forum Mar 12, 2020 10:00 AM - 04:30 PM — Stirling Court Hotel, University of Stirling
Medical Imaging Convention 2020 Mar 17, 2020 10:00 PM - 04:00 PM — National Exhibition Centre, Birmingham, England
9th SINAPSE Neuro-oncology Imaging Meeting Mar 19, 2020 12:00 AM — West Park Conferencing & Events, 319 Perth Road, Dundee DD2 1NN

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

SINAPSE Image of the Month: Automatic segmentation of White Matter Hyperintensities

March 2018 SINAPSE Image of the Month

March2018

Courtesy of Dr Jianguo Zhang, this image shows the result of a winning algorithm submitted to the White Matter Hyperintensities (WMH) Segmentation Grand Challenge held at MICCAI 2017.

At left is the raw FLAIR axial image; at centre is the ground truth of WMH regions annotated by a radiologist; at right is the automatic WMH segmentation result generated by the algorithm (U-Net with Two-channel Input). This algorithm, developed by an international team led by Dr Zhang, placed first among 20 Grand Challenge entries. Presentation slides from the team can be viewed here.

Further MICCAI 2017 success for the Computer Vision and Image Processing (CVIP) group at Dundee came from MSc student Mayssa Soussia, who received the Best Paper award at the 1st International Workshop on Connectomics in Neuroimaging. Congratulations to all!