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. I am scientific adviser for ThinkSono Ltd.
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.
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?”
My teaching is focused on real-time computing, Machine Learning, Image Analysis, Computer Graphics and Visualisation.
I extensively use the following terms: Deep Learning; Machine Learning; AI in Healthcare; GPU acceleration; real-time computing; interpretable decision making; SLAM; geometric deep learning; Nvidia; CUDA; semantic image understanding; motion correction; image-guided decision making; magnetic resonance imaging (MRI); fetal MRI; 4D ultrasound
# 5x post-doc/RA positions at BioMedIA, Imperial College London, UK
# topics around ML in medical image analysis and AI4Healthcare
# ~£40-50k/year plus benefits and travel budget
# PhD aspirants also welcome to apply
# email for details
|I am currently looking for further PhD students who are interested in working on human interpretable machine learning and efficient medical image processing topics for deep learning applications.
If you are interested in applying for a PhD position in my group you can apply through the Imperial College PhD online appplication system.
We have a number of PhD projects on offer within the EPSRC Centre for Doctoral Training in Medical Imaging
Interested? Find out ‘how to apply’
MICCAI RAMBO 2018
The 3rd international workshop on Reconstruction and Analysis of Moving Body Organs was held in conjunction with MICCAI’18 in Granada, Spain. We had an exciting programme with two top keynote speakers (Dr Leo Grady: Senior Vice President of Engineering at HeartFlow and Dr. Elisenda Eixarch: Consultant and Associate Professor, Fetal and Perinatal Medicine Research Group, Hospital Clínic de Barcelona). Proceedings have been printed by Springer.
Granada, Spain, 16 September 2018!!
BioMedIA won the 2017 BraTS Challenge
Ever wondered how the human brain works? Check out the Cortical Explorer by Sam Budd (Imperial MEng. final year student).
An early prototype Service-Oriented Architecture for cortical parcellation evaluation with multi-device, distributed front-end, i.e., a browser.
The various ways to navigate through our human brain map attracted a large crowd at the Imperial Intelligence redesigned Fringe on January 18th 2018. The cortical explorer currently also features on the touch screen at the front of the Data Science Institute.
MICCAI RAMBO 2017
The 2nd international workshop on Reconstruction and Analysis of Moving Body Organs was held in conjunction with MICCAI’17 in Quebec, Canada. We had an exciting programme! Proceedings are available from Springer.
MICCAI RAMBO 2016
We successfully organized a workshop about motion modelling in medical imaging in conjunction with MICCAI 2016. The 1st International Workshop on Reconstruction and Analysis of Moving Body Organs (RAMBO) 2016, was held in Athens, Greece on the morning of 17th October 2016. This workshop targeted researchers for whom the effects of motion are critical in image analysis or visualization. Proceedings are available from Springer.