Emma C. Robinson
King's College London
Dr Robinson joined the Biomedical Engineering department of King’s College London in 2017 following posts in BioMedia, Department of Computing, Imperial College and FMRIB, University of Oxford. Her research is focused on development of biomarkers for diagnosis and tracking of cognitive disorders, through novel Machine/Deep Learning and Image processing technologies. She is affiliated with the Human and Developing Human Connectome Projects (HCP/dHCP). Her work on improving the way with which brain imaging data is compared (Multimodal Surface Matching, MSM) was fundamental to the
HCP’s development of a revolutionary model of cortical organisation (Glasser et al, Nature
2016). This work was featured in Wired, Scientific American, and Wall Street Journal.
Using deep learning to predict outcomes for vulnerable preterm babies
Machine and deep learning techniques are improving the understanding of brain development. This talk will present new techniques for monitoring foetal health and predicting outcomes for vulnerable preterm infants.
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