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I am Senior Lecturer in Machine Learning for Imaging and one of three academics leading the Biomedical Image Analysis Group. I am also Adviser – Medical Image Analysis at HeartFlow and I am leading the London-based HeartFlow-Imperial Research Team. I work as scientific adviser for Definiens and Kheiron Medical Technologies.

My research is at the intersection of medical image analysis and artificial intelligence aiming to build computational tools for improving image-based detection and diagnosis of disease.

NeuroNet receives Philips Impact Award

Our paper NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines presented at the 1st International Conference on Medical Imaging with Deep Learning received the Philips Impact Award.

BraTS1st Place at 2017 BraTS Challenge

Our BioMedIA team has won the 2017 Brain Tumour Segmentation Challenge (BraTS). We have developed a deep learning approach, called EMMA, which stands for Ensembles of Multiple Models and Architectures, which obtained best performance among more than 50 participating teams

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