PET/MR User's Meeting: Technical challenges Feb 05, 2020 10:30 AM - 03:00 PM — Henry Wellcome Auditorium, 183 Euston Road, London
Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
Scottish+ Radiotherapy Physics Meeting 2020 Feb 21, 2020 09:30 AM - 05:00 PM — Scottish Health Service Centre , Western General Hospital, Edinburgh
2nd Scottish Ultrasound Annual Scientific Meeting Feb 28, 2020 10:00 AM - 05:00 PM — Collins Building, University of Strathclyde
Technology Innovations for Healthcare Mar 12, 2020 09:00 AM - 05:00 PM — Royal College of Physicians, Edinburgh

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

Connectomics in NeuroImaging MICCAI 2019 Workshop

3rd International Workshop on Connectomics in NeuroImaging (CNI) at MICCAI 2019
When Oct 13, 2019
from 12:00 AM to 12:00 AM
Where Shenzhen, China
Contact Name
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Connectomics is the study of whole brain association maps, i.e., the connectome, with a focus on understanding, quantifying, and visualizing brain network organization. Connectomics research is of interest to the neuroscientific community largely because of its potential to understand human cognition, its variation over development and aging, and its alteration in disease or injury. As such, big data in connectomics are rapidly growing with emerging international research initiatives collecting large, high quality brain images with structural, diffusion and functional imaging modalities. CNI aims to propel research which leverages this increasing wealth of connectomic data. CNI will bring together computational researchers (computer scientists, data scientists, computational neuroscientists) to discuss advancements in connectome construction, analysis, visualization and their use in clinical diagnosis and group comparison studies.

CNI aims to unify computational researchers with neuroscientists and cultivate interactions toward translational applications for the clinic. For the 3rd year, CNI will feature a single-track workshop with keynote speakers, technical paper presentations and poster sessions.

Call for papers (submission deadline: 28 July 2019)

In conjunction, CNI will host the first MICCAI challenge on functional connectomics, with collaborators at the Kennedy Krieger Institute in Baltimore, MD, USA.

More information about this event…