Data Sciences and Brain Health across the Life Course session in 2020 SICSA Conference Oct 01, 2020 01:15 PM - 03:15 PM — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
Predictive Intelligence in Medicine MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
PET is Wonderful Annual Meeting 2020 Oct 27, 2020 02:00 PM - 05:40 PM — 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

Ophthalmic Medical Image Analysis MICCAI 2017 Workshop

4th Ophthalmic Medical Image Analysis (OMIA4) Workshop at MICCAI 2017
When Sep 14, 2017
from 12:00 AM to 12:00 AM
Where Québec City, Canada
Contact Name
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Age-related macular degeneration, diabetic retinopathy and glaucoma are the main causes of blindness in both developed and developing countries. The cost of blindness to society and individuals is huge, and many cases can be avoided by early intervention. Early and reliable diagnosis strategies and effective treatments are therefore a world priority. At the same time, there is mounting research on the retinal vasculature and neuro-retinal architecture as a source of biomarkers for several high-prevalence conditions like dementia, cardiovascular disease and of course complications of diabetes.

Automatic and semi-automatic software tools for retinal image analysis are being used widely in retinal biomarkers research, and increasingly percolating into clinical practice. Significant challenges remain in terms of reliability and validation, number and type of conditions considered, multimodal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies, to mention a few. The workshop will address all these aspects and more, in the ideal interdisciplinary context of Medical Image Computing and Computer Assisted Intervention (MICCAI).

This workshop aims to bring together scientists, clinicians and students from multiple disciplines in the growing ophthalmic image analysis community, such as electronic engineering, computer science, mathematics, and medicine, to discuss the latest advancements in the field.

Call for papers (submission deadline: 24 June 2017)

More information about this event…