Brainy Data: Acquiring and analysing big data in neuroimaging
Big data is key in the days of open science and deep learning, and this is especially true in the field of neuroimaging.
This talk will cover developments in neurology relating specifically to multimodal MR big datasets and how they are acquired and analysed.
It will begin with a discussion of the range of datasets that are currently available, and how these studies were designed.
Following this, traditional and recent analysis methodology will be introduced, as well as the consequential changes in the nature of neuroimaging investigations.
No prior knowledge of neuroimaging or MRI will be assumed.
Please register for catering purposes.
Professor Mark Jenkinson was born in Adelaide, Australia, where he obtained first class Honours degrees in Electrical & Electronic Engineering and Mathematical Physics.
His doctoral work was done at the University of Oxford in the area of Computer Vision, supervised by Professor Sir Michael Brady.
After this he moved into medical imaging and joined the FMRIB centre where his research has concentrated on structural MRI analysis, multimodal analysis and population modelling, especially for clinical research.
Prof. Jenkinson is also co-founder and principal developer of the FSL software package, used in over 1000 laboratories worldwide.
He is the co-editor of a series of introductory textbooks (Oxford Neuroimaging Primers) and is currently Head of the Structural Image Analysis Group at the Wellcome trust centre for Integrative Neuroimaging (formerly FMRIB).