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“Can we build a machine capable of interpreting medical scans with super-human performance?”

I am Lecturer in Medical Image Computing at Imperial College London and a member of the Biomedical Image Analysis Group in the section of Visual Information Processing at the Department of Computing.

My research is in the area of biomedical image computing and medical computer vision with a focus on semantic understanding of images using machine learning and artificial intelligence.

I am teaching Algorithms and Medical Image Computing, coordinate the HiPEDS Group Projects, and lead the stream 3 of the Medical Imaging CDT.

DeepMedic Source Code Released

Just released our DeepMedic software on Github. That’s deep, fully 3D convolutional neural networks for medical image segmentation! The code has been used in our winning entry for the ISLES 2015 stroke lesion segmentation challenge, and for brain tumour segmentation and traumatic brain injuries.

EPSRC-NIHR Medical Image Analysis Network

The BioMedIA group is a member of the EPSRC-NIHR Healthcare Technology Co-operatives Partnership Medical Image Analysis Network (MedIAN) which seeks to bring together leading UK researchers in medical image analysis with relevant stakeholders to identify new opportunities for medical image analysis methodology research and early clinical translation. More information can be found on the MedIAN website.

SpineWeb Online

As a founding member of an international research initiative on spine imaging, we are proud to announce the official opening of the SpineWeb – A Collaborative Platform for Research on Spine Imaging and Image Analysis. Researchers are invited to actively participate in this initiative and contribute to the SpineWeb platform.