Lecturer in human-in-the-loop computing

About

Bernhard Kainz is a Lecturer in the Biomedical Image Analysis Group at the Department of Computing, Imperial College Lodnon. Before that he was a Marie-Curie Fellow at Imperial College London and a Senior Research Fellow in the group of Prof. Jo Hajnal at King’s College London. He finished his Ph.D. thesis within the field of medical visualization, volume graphics and GPU algorithms in the team of Prof. Dieter Schmalstieg at the Institute for Computer Graphics and Vision at Graz University of Technology in 2011. His research interests are the interconnection of medical image data acquisition, fast GPU accelerated medical image processing and interactive real-time medical visualization.

Recent Publications

2015 (3)
  • Amir Alansary, Matthew Lee, Kevin Keraudren, Bernhard Kainz, Christina Malamateniou, Mary A. Rutherford, Joseph V. Hajnal, Ben Glocker, Daniel Rueckert, Automatic Brain Localization in Fetal MRI Using Superpixel Graphs, ICML Workshop on Machine Learning meets Medical Imaging, volume 9487, pp.13–22, 2015

  • Bernhard Kainz, Christina Malamateniou, Giulio Ferrazzi, Maria Murgasova, Jan Egger, Kevin Keraudren, Mary Rutherford, Joseph V. Hajnal, Daniel Rueckert, Adaptive scan strategies for fetal MRI imaging using slice to volume techniques, International Symposium on Biomedical Imaging (ISBI), pp.849–852, 2015

  • Bernhard Kainz, Markus Steinberger, Wolfgang Wein, Maria Kuklisova-Murgasova, Christina Malamateniou, Kevin Keraudren, Thomas Torsney-Weir, Mary Rutherford, Paul Aljabar, Joseph V Hajnal, Daniel Rueckert, Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices, IEEE Transactions on Medical Imaging, volume 34, pp.1901–13, 2015

Address
372 Huxley Building
Department of Computing
Imperial College London
180 Queen's Gate
London SW7 2AZ, UK
Email
b.kainz@imperial.ac.uk