Imperial College London


Faculty of EngineeringDepartment of Computing

Reader in Medical Image Computing



+44 (0)20 7594 8349b.kainz Website CV




372Huxley BuildingSouth Kensington Campus





I am Reader in the Department of Computing at Imperial College London. I head the human-in-the-loop computing group and I am one of four academics leading the Biomedical Image Analysis, BioMedIA Collaboratory. Human-in-the-loop computing research aims at complementing human intelligence with machine capabilities and machine intelligence with human flexibility.

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 Associate Editor for IEEE Transactions on Medical Imaging and a scientific adviser for ThinkSono Ltd and Ultromics Ltd. I am Affordable Imaging 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 intelligent algorithms in healthcare, especially Medical Imaging. I am working on self-driving medical image acquisition 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.

Current research questions:
Can we democratize rare healthcare expertise through Machine Learning, providing guidance in real-time applications and second reader expertise in retrospective analysis?
Can we develop normative learning from large populations, integrating imaging, patient records and omics, leading to data analysis that mimics human decision making?
Can we provide human interpretability of machine decision making to support the ‘right for explanation’ in healthcare?


Dr Christoph Lees, Imperial College London, 2016

Prof. Stefan Bruckner, Dr. Stefan Bruckner, Professor in VisualizationDepartment of InformaticsUniversity of Bergen, Norway, medical visualization, 2014

Meister Edi Groeller and Prof. Ivan Viola, Vienna University of Technology, medical visualization, 2014

Dr Niamh Nowlan, Imperial College London, 2014

Prof. Bernhard Preim, Otto-von-Guericke-Universität Magdeburg, 2014

Dr. Wolfgang Wein, ImFusion GMbH, Germany, medical image analysis, ultrasound, 2014

Prof. Jo Hajnal, King's College London, 2013 - 2025

Prof. Dieter Schmalstieg, Graz University of Technology, Medical image processing and visualization, 2013 - 2015

Dr Ben Glocker, Imperial College London, 2013

Prof Daniel Rueckert, Imperial College London, 2013

Dr Markus Steinberger, Graz University of Technology, 2013

Guest Lectures

High-performance motion modelling, JKU, Linz, Austria, 2017

High-performance motion modelling, Graz University of Technology, Austria, 2016

HIgh-performance motion modelling, EuroRVVV,, 2016

High-performance motion correction in fetal MRI, Graz University of Technology, Graz, Austria, 2015

Fetal MRI: Fast volumetric super-resolution reconstruction of organs from moving subjects, Vienna University of Technology, Vienna, 2014

Fast volumetric super-resolution reconstruction of organs from moving subjects, Medviz; University of Bergen,, 2014

Fast volumetric super-resolution reconstruction of organs from moving subjects, Department of InformaticsUniversity of Bergen, Norway, 2014

Medical Visualization, ISMAR at TU Munich,, 2014

Research Staff







Research Student Supervision

Alansary,A, HPC and ML in medical imaging

Alansary,A, Motion modelling

Chotzugou,E, Interactive segmentation of image data

Hou,B, Deep learning of image registration

Meng,Q, Style transfer for medical image analysis

Tan,J, Visualisation for deep learning