Daniel Rueckert

Daniel Rueckert is Professor of Visual Information Processing in the Department of Computing at Imperial College London. Since 2020, he is also Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. From 2016 to 2020 he served as Head of the Department of Computing at Imperial College.

He gained a MSc from Technical University Berlin in 1993, a PhD from Imperial College in 1997, followed by a post-doc at King’s College London. In 1999 he joined Imperial College as a Lecturer, becoming Senior Lecturer in 2003 and full Professor in 2005. At Imperial, he has founded the Biomedical Image Analysis group consisting of four academics, 15 post-docs and 20 PhD students. He has published more than 500 journal and conference articles as well as graduated over 50 PhD students. He is also co-founder of IXICO, an Imperial College spin-out company.

Professor Rueckert is a member of the editorial board of Medical Image Analysis, MICCAI/Elsevier Book Series, and a referee for a number of international medical imaging journals and conferences. He has served as a member of organising and programme committees at numerous conferences, e.g. he has been General Co-chair of MMBIA 2006 and FIMH 2013 as well as Programme Co-Chair of MICCAI 2009, ISBI 2012 and WBIR 2012. In 2014, he has been elected as a Fellow of the MICCAI society and in 2015 he was elected as a Fellow of the Royal Academy of Engineering and as fellow of the IEEE. More recently has been elected as Fellow of the Academy of Medical Sciences (2019) and as Fellow of the American Institute for Medical and Biological Engineering (2021).

Research focus

• Development of algorithms for image acquisition, image analysis and image interpretation – in particular in the areas of registration, reconstruction, tracking, segmentation and modelling.
• Machine learning for the extraction of clinically useful information from medical images – in particular for computer-aided detection and diagnosis, computer-aided treatment planning, computer-guided interventions and therapy.

Interests

• Medical Image Computing
• Data Science in Medicine
• Artifical Intelligence in Medicine

Education

• PhD Imperial College London (1994 — 1997)
• Diplom Technische Universität Berlin (1988 — 1994)

Companies

• Alexander von Humboldt Professor for AI Technical University of Munich (2020)
• Professor Imperial College London (1999)
• Co-founder & Consultant IXICO (2005 — 2020)
• Head of Department Imperial College London (2016 — 2020)
• Consultant Magic Pony Technology (2015 — 2016)
• Research fellow King's College London (1997 — 1999)