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Research Theme: Image Computing and Computational Modelling (pre-2019)
Deep learning for early detection of lung cancer in patients at risk
1st supervisor: Julia Schnabel, King’s College London 2nd supervisor: Ben Glocker, Imperial College London The project aim is to explore and develop novel machine learning approaches based on ‘deep learning’, as applied to serial low-dose lung CT imaging for...read more
Comprehensive CRT CT imaging (3CI)
1st supervisor: Kawal Rhode, King’s College London 2nd supervisor: Steven Niederer, King’s College London Cardiac Resynchronisation Therapy (CRT) is one of the few effective treatments for patients suffering dyssynchronous heart failure. Magnetic resonance...read moreLearning the signature of disease in echocardiography
1st supervisor: Pablo Lamata, King’s College London 2nd supervisor: Andy King, King’s College London The objective is the development and validation of methodology that automatically extracts diagnostic and prognostic biomarkers from echocardiographic...read moreAutomated assessment of fetal movements as an indicator of postnatal neurological health and function
1st supervisor: Bernhard Kainz, Imperial College London 2nd supervisor: Jo Hajnal, King’s College London Neonatal movements are commonly assessed as a way of predicting neurological function of the baby, but methods currently in use are subjective,...read moreLoad More