About

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Team

PhD Students

Konstantinos Kamnitsas
Matthew Lee
Vanya Valindria
Daniel Coelho De Castro
Rob Robinson
Nick Pawlowski
Ian Walker

Post-docs

Steven McDonagh
Loic Le Folgoc

Alumni

Fahdi Kanavati
Enzo Ferrante

Short Bio

Since 2013: University Lecturer, Imperial College London, UK

2010-2013: Postdoctoral Researcher, Microsoft Research Cambridge, UK

2010-2012: Research Fellow, Darwin College, University of Cambridge, UK

2006-2010: Research Assistant, Technische Universitaet Muenchen, Germany

05-10 2006: Visiting Researcher, Ecole Centrale Paris, France

Awards/Honours

Member of the World Economic Forum’s Young Scientists Community
Selected as “extraordinary scientist under the age of 40”

NVIDIA Global Impact Award – Honorable Mention 2016
Awarded for our work on brain lesion segmentation using deep learning

ERCIM Cor Baayen Award – Honorable Mention 2013
Awarded to promising young researchers in the field of Informatics and Applied Mathematics

Medical Image Analysis – MICCAI Best Paper Award 2013
Awarded for “Neighbourhood Approximation using Randomized Forests

Werner von Siemens Excellence Award 2007
Awarded for the diploma thesis

Francois Erbsmann Prize 2007
Awarded for the best oral presentation among all first-time presenters at IPMI 2007

Computational Challenges

Winner of the Multimodal Brain Tumor Segmentation Challenge (BraTS) 2017
Kamnitsas et al. Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Winner of the Ischemic Stroke Lesion Segmentation Challenge (ISLES) 2015
Kamnitsas et al. Multi-Scale 3D Convolutional Neural Networks for Lesion Segmentation in Brain MRI

Winner of the Automatic Intervertebral Disc Segmentation Challenge 2015
Lopez-Andrade and Glocker. Complementary Classification Forests with Graph-cut Refinement for Accurate Intervertebral Disc Localization and Segmentation

Special Award a.k.a. “Left Field Award” at the Workshop Challenge on Segmentation: Algorithms, Theory and Applications (SATA)
Zikic et al. Multi-Atlas Label Propagation with Atlas Encoding by Randomized Forests

Winner of the Multimodal Brain Tumor Segmentation Challenge (BraTS) 2012
Zikic et al. Context-sensitive Classification Forests for Segmentation of Brain Tumor Tissues

In the Media

Podcast: Brain buzzing, cave exploring and young scientists on the world stage
Imperial College Podcast, September 27, 2017

Four Imperial academics celebrate winning European Research Council grants
Imperial College News, September 19, 2017

How hospitals could be rebuilt, better than before
The Economist, April 8, 2017

Addressing the Critical Issues of Deep Learning in Medical Imaging
RE-WORK Blog, March 24, 2017

Muster erkennen, Überleben vorhersagen
Healthcare in Europe, March 23, 2017

Deep learning in healthcare: a move towards algorithmic doctors
News Medical, March 15, 2017

Patients are about to see a new doctor: artificial intelligence
VentureBeat, January 31, 2017

Dr Google will see you now
The Sydney Morning Herald, December 31, 2016

Double Vision
Imperial Magazine, Issue 41, November 2016

Podcast: Visions of the future, a crowning ceremony and a wall of knowledge
Imperial College Podcast, June 30, 2016

Researchers look to the future of imaging science at the World Economic Forum
Imperial College News, June 29, 2016

World Economic Forum Honours its 2016 Young Scientists Community at Annual Meeting of the New Champions
World Economic Forum, June 22, 2016

How artificial intelligence could transform the medical world
Toronto Star, May 9, 2016

Clinician-mimicking program could improve brain injury analysis
Imperial College News, April 12, 2016

How can deep learning impact healthcare?
News Medical, April 8, 2016

Imperial College Uses GPUs to Spot Brain Damage
NVIDIA Blog, March 18, 2016

Researchers Use Oculus Rift And Augmented Reality To Put Facebook On Your Wall
Gizmodo, September 17, 2014

Kinect + Brain Scan = Augmented Reality for Neurosurgeons
IEEE Spectrum, March 8, 2013

Patents

Modelling a Three-Dimensional Space
T. Whelan, R.F. Salas Moreno, S. Leutenegger, A. Davison, B. Glocker
Pub. No. WO2016189274

Tracking using Sensor Data
A. Guzman-Rivera, P. Kohli, B. Glocker, J. Shotton, S. Izadi, T. Sharp, A. Fitzgibbon
Pub. No. US2015347846

Camera/Object Pose from Predicted Coordinates
J. Shotton, B. Glocker, C. Zach, S. Izadi, A. Criminisi, A. Fitzgibbon
Pub. No. US2014241617

Method for Combining Images and Magnetic Resonance Scanner
B. Glocker, N. Navab, C. Wachinger, J. Zeltner
Pub. No. US2010067762

System and Method for Dense Image Registration using Markov Random Fields and Efficient Linear Programming
N. Paragios, B. Glocker, N. Komodakis
Pub. No. US2009046951

Invited Talks & Lectures

EuSoMII Academy 2017: Game Changers in Radiology
Unlocking patterns in medical images with AI
Erasmus MC, Rotterdam, Netherlands, November 18, 2017

BMVA Symposium: Computer Vision in Cancer
Brain Tumour Segmentation with Deep Neural Nets
British Computer Society, London, UK, October 11, 2017

Deep Learning in Healthcare Summit
Deep Learning in Medical Imaging – Successes and Challenges
LSO St Luke’s, London, UK, February 28, 2017

Medical Computer Vision: Algorithms for Big Data
Deep Learning for Brain Lesion Segmentation
MICCAI Workshop Invited Talk, Athens, Greece, October 21, 2016

Bayesian and Graphical Models for Biomedical Imaging – BAMBI
Solving Continuous Problems with Discrete Optimization
MICCAI Workshop Keynote, Athens, Greece, October 21, 2016

Medical Imaging Summer School – MISS
Medical Imaging meets Machine Learning
Favignana, Sicily, Italy, July 31 – Aug 6, 2016

UCL Medical Image Computing Summer School
CMIC, London, UK, July 22, 2016

Girls’ Engineering Summer School
Computer Science in Medical Imaging
Imperial College London, UK, July 19/20, 2016

World Economic Forum IdeasLab
Unlocking Patterns in Medical Images with Artificial Intelligence
WEF Annual Meeting of the New Champions, Tianjin, China, June 26, 2016

Deep Learning in Healthcare Summit
Deep Learning for Semantic Understanding of Medical Images
LSO St Luke’s, London, UK, April 7, 2016

Academy of Medical Sciences
Machine Learning for Complex Data Analyses
London, UK, March 14, 2016

Big Data, Multimodality & Dynamic Models in Biomedical Imaging
Machine Learning for Medical Image Analysis
Isaac Newton Institute, Cambridge, UK, March 9, 2016

Royal College of Radiologists
Machine Learning Event
London, UK, January 7, 2016

Alan Turing Institute: Scientific Scoping Workshop
Big data in medical imaging: passing fad or paradigm shift
British Library, London, UK, December 7, 2015

UCL Medical Image Computing Summer School
Random Forests in Medical Image Analysis
CMIC, London, UK, August 10, 2015

Girls’ Engineering Summer School
Medical Augmented Reality
Imperial College London, UK, July 23, 2015

Launch Event: Imperial’s Clinical Imaging Facility and the Biological Imaging Centre
Semantic Imaging: Machine Learning in Medical Image Analysis
Wolfson Education Centre, Hammersmith Campus, London, UK, July 16, 2015

1st ICML Workshop on Machine Learning meets Medical Imaging
Lille, France, July 11, 2015

3rd Biomedical Image Analysis Summer School
Random Forests in Medical Image Analysis
Institut Henri Poincaré, Paris, France, July 6-10, 2015

CSAIL Biomedical Imaging and Analysis Seminar Series
Learning to Understand Medical Images
MIT, Boston, USA, September 12, 2014

London Critical Care Data Marathon
Semantic Imaging – Learning to Understand Medical Images
IDEALondon, London, UK, September 6, 2014

The Rank Prize Funds Symposium on Medical Imaging Meets Computer Vision
Neighbourhood Approximation Forests
Grasmere, Lake District, UK, March 18, 2013

Darwin College Sciences Group
Medical Image Computing – The role of computer science in clinical routine
University of Cambridge, UK, November 11, 2010

Professional Activities

Editorial Board
Elsevier’s Journal on Medical Image Analysis
Elsevier’s Journal on Image and Vision Computing

Steering Committee
EPSRC-NIHR HTC Partnership Award: Medical Image Analysis

Program Committee & Area Chair
MICCAI 2013/2015/2016, SPIE Medical Imaging 2015-2018, WBIR 2014, ISVC Special Track 2009

Co-Organizer
NIPS Workshop Medical Imaging meets NIPS (MEDNIPS) 2017
British Machine Vision Conference (BMVC) 2017
1st MedIAN CodeFest 2017 – Medical Imaging Hackathon
International Workshop on Biomedical Image Registration (WBIR) 2016
BIH 2015 Symposium on clinical applications of machine learning in neuroimaging
MICCAI Workshop & Challenge CSI 2014/2015/2016mTOP 2016, MSKI 2017
ISBI Special Session on Graphical Models for Biomedical Image Analysis 2015
MICCAI Tutorial on Intensity-based Deformable Registration 2010
1st Russian-Bavarian Conference on Biomedical Engineering 2005

Departmental Roles
Champion for Public Engagement

Affiliations
World Economic Forum’s Young Scientists Community
Imperial Tech Foresight
Imperial Neurotrauma Centre
EPSRC Centre for Doctoral Training in Medical Imaging
EPSRC Centre for Doctoral Training in High Performance Embedded and Distributed Systems
Science and Solutions for a Changing Planet DTP
Centre for Doctoral Training in Neurotechnology

Guest Editor
Medical Image Analysis Special Issue on Discrete Graphical Models in Biomedical Image Analysis

Co-Founder
SpineWeb – Collaborative Platform for Research on Spine Imaging and Image Analysis

Journal & Conference Reviewer
IEEE T-PAMI, TMI, TIP, TBME, Springer Nature, IJCV, Elsevier MEDIA, CVIU, IMAVIS, Annals of Biomedical Engineering, MICCAI, IPMI, NIPS, CVPR, ICCV, ECCV, ISBI, SPIE

Funding Body Reviewer
European Research Council, The Wellcome Trust (UK), Technology Foundation STW (NL), Action Medical Research