2020 SINAPSE ASM Jun 19, 2020 09:00 AM - 05:00 PM — Virtual Meeting (online)
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 25, 2020 - Aug 28, 2020 — KCL Waterloo Campus, London
Scottish Dementia Research Consortium Annual Conference 2020 [rescheduled] Sep 07, 2020 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow

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…