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

The transformative potential of data and image analysis for eye care

A Royal Society Science+ interdisciplinary meeting
When Apr 23, 2018 09:00 AM to
Apr 24, 2018 05:00 PM
Where The Royal Society, Carlton House Terrace, London
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It is crucial that research on data and image analysis for eye care keeps the needs of the clinical field in sight, and, conversely, practitioners and their representative bodies keep abreast of current image and data analysis research. It is therefore timely to bring together practitioners and researchers from ophthalmology, optometry, and imaging and computer sciences via a Science+ meeting. The aim is to share experiences, aspirations and opportunities, and to identify key opportunities, challenges, unanswered questions and ways of working collaboratively. The speakers include subject specialists from eye health, vision science, medical image processing, statistics, machine learning and data analytics, and large-scale repositories of clinical data.

Registration is free and participation is warmly encouraged.

More information about this event…