I am Lecturer at the Department of Computing at Imperial College London. I am heading the human-in-the-loop computing group and I am one of three academic leading the Biomedical Image Analysis, BioMedIA group. 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.
My teaching is focused on High Performance Computing, Machine Learning, Image Analysis, Computer Graphics and Visualisation.
Current research questions:
“How to learn canonical pose representations?”
“How to integrate machine learning into clinical real-time decision support?
“Can we understand and explain trained machine learning models?”
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 on Medical Image Computing and Computer-Assisted Intervention (MICCAI), SPRINGER INT PUBLISHING AG, Pages:555-562, ISSN:0302-9743