• Thursday, December 3rd 2020 at 16:00 - 17:00 UK (Other timezones)
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This is the second talk in a new series jointly organized by TCPW and Machine Learning in Clinical Neurosciences in collaboration with Seyed Kia, Andre Marquand and Thomas Wolfers.

The human cerebral cortex is implicated in a wide range of neurological and
psychiatric disorders. However, current methods for comparing cortical
organisation, across populations of controls and patients, remain low
powered due to the impact of considerable natural variation of cortical
shape and organisation, which confounds standard approaches for analysis
based on image registration. In this talk I will describe the challenges,
provide a brief tutorial to practices for cortical analysis and then
describe new methods developed using surface and volumetric deep learning,
which may help us start to address these problems.

 

 

 

 

 

 

 

Emma Robinson
Lecturer
King’s College London

Emma Robinson – Predicting Cognitive Disorders through Machine and Deep Learning – Joint TCPW & MLCN series