Post-doctoral vacancy at University of Oxford

Postdoctoral Research Assistant in Machine Learning for Cardiac Imaging Institute of Biomedical Engineering, Old Road Campus Building, Headington, Oxford Grade 7: £31,076 – £38,183 p.a. We are seeking a full-time Postdoctoral Research Assistant to join a large multi-institutional, multi-faceted research … Continued

SmartHeart researchers present 3 papers at MICCAI

SmartHeart researchers have 3 papers accepted at this year’s International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI) which will be held in Quebec in September.   Poster session Semi-Supervised Learning for Network-Based Cardiac MR Image Segmentation Wenjia … Continued

Jo Schlemper presenting at ISMRM 2017

Jo Schlemper, a PhD Student supervised by Daniel Rueckert, is presenting his work on deep-learning based MR image reconstruction at the International Society for Magnetic Resonance in Medicine (ISMRM) 25th Annual Meeting & Exhibition in Honolulu, Hawaii, 22-27 April 2017. … Continued

SmartHeart kick-off meeting held

The Kick-off meeting for SmartHeart was held on Friday 3 March at Imperial College London. SmartHeart’s ambitious vision is to pave the way for a radical new approach by which cardiovascular diseases (CVD) are diagnosed, monitored and treated: a diagnosis-driven … Continued

Scientific Advisory Board

The SmartHeart team have established an independent and external Scientific Advisory Board to provide advice, support and guidance to the research team. The SAB meets annually to evaluate progress and provide feedback on research plans, acting as a ‘critical mentor’ … Continued

Contact Us

We are happy to respond to any questions or requests for more information about this project. Please send all enquiries to: Katherine Bellenie – SmartHeart Project Manager, Imperial College London Department of Computing Huxley Building 180 Queen’s Gate South Kensington … Continued

Research Teams

The SmartHeart team of investigators have a long track record of collaboration. They bring together a unique combination of technical expertise in medical imaging and machine learning, and clinical expertise in cardiovascular diseases.