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 26, 2020 - Aug 28, 2020 — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow
Society for Magnetic Resonance Angiography - SMRA2020 VIRTUAL Sep 11, 2020 - Sep 13, 2020 — 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

NCITA National Conference: Translating Imaging Biomarkers for Improved Patient Outcomes [postponed]

First national conference in cancer imaging organised by National Cancer Imaging Translational Accelerator (NCITA)
When May 05, 2020
from 10:00 AM to 05:00 PM
Where New Hunt's House, Guy's Campus, King's College London
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UPDATE: this event is being rescheduled due to spread of the COVID-19 Coronavirus.

National Cancer Imaging Translational Accelerator (NCITA) is a UK national network of cancer imaging infrastructures founded in 2019, supported by a Cancer Research UK Accelerator Award. Its vision is to accelerate the standardisation and clinical translation of cancer imaging biomarkers to improve healthcare outcomes for patients.

In the first national conference in cancer imaging organised by NCITA, sessions will explore QA/QC of imaging technology, introduce some of the latest research in cancer imaging and discuss the use and storage of patient data.

More information about this event…