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I am Senior Lecturer in Medical Image Computing and a researcher in the Biomedical Image Analysis Group.

My research is at the intersection of medical image analysis and artificial intelligence aiming to build computational tools for improving diagnosis, therapy and intervention.

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.

1st 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