Overview
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?
Collaborators
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, http://www.eurorvvv.org/, 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, http://www.medviz.uib.no/, 2014
Fast volumetric super-resolution reconstruction of organs from moving subjects, Department of InformaticsUniversity of Bergen, Norwayhttp://www.ii.uib.no/vis/team/bruckner, 2014
Medical Visualization, ISMAR at TU Munich, http://ismar.vgtc.org/ismar/2014/tutorial/sct/look-medical-augmented-reality, 2014
Research Staff
Alansary,A
Chotzuglou,E
Hou,B
Khanal,B
McDonagh,S
Meng,Q
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