I am Reader in the Department of Computing at Imperial College London. I am head of the human-in-the-loop computing group and I am one of four academics leading the Biomedical Image Analysis, BioMedIA collaboratory. I co-create intensively with King's College London, Division of Imaging Sciences and Biomedical Engineering, St. Thomas Hospital London and the department of Bioengineering at Imperial. I am scientific adviser for ThinkSono Ltd. I am stream lead for the EPSRC Centre for Doctoral Training in Smart Medical Imaging and involved in the UKRI Centre for Doctoral Training in Artificial Intelligence for Healthcare.
My research is about interactive algorithms in healthcare, especially Medical Imaging. I am working on self-driving medical image acquistion that can guide human operators in real-time during diagnostics. Artificial Intelligence is currently used as a blanket term to describe research in these areas.
My teaching is focused on real-time computing, Machine Learning, Image Analysis, Computer Graphics and Visualisation.
For further details please refer to my personal webpage: http://bernhard-kainz.com
et al., 2015, Fast volume reconstruction from motion corrupted stacks of 2D slices, IEEE Transactions on Medical Imaging, Vol:34, ISSN:0278-0062, Pages:1901-1913
et al., 2015, Flexible reconstruction and correction of unpredictable motion from stacks of 2D images, 18th International Conference, Munich, Germany, October 5-9, 2015, Springer International Publishing, Pages:555-562, ISSN:0302-9743