Beneficiary 2

University College of London


University College London (UCL) is a major university (one of the largest in the UK) of international reputation with extensive experience in EU Framework Programmes. UCL is currently participating in over 240 FP7 projects, with a total funding contribution of approximately €127.4 which ranks UCL as 10th in Europe in terms of EU support. Within the UCL School of Biomedical Sciences, associated clinical institutes and academic hospitals (over 10), UCL has one of the largest centres of biomedical research in Europe and with UCL Partners one of the largest biomedical sciences research groups in the world. Within UCL, the UCL Centre for Medical Image Computing (CMIC), jointly between the Department of Computer Science and the Department of Medical Physics and Bioengineering, is a world-class academic unit combining excellence in medical imaging sciences with innovative computational methodology, to create clinically transferrable research. The centre has 14 full time academic members who supervise a diverse range of technical themes carried out by over 100 researchers and supported by four administrative staff. Infrastructure within CMIC provides unique equipment in robotics, imaging, navigation and computing within around 100m2 of dedicated laboratory space. CMIC has general expertise in medical imaging, image guided interventions and minimally invasive surgery with specific know-how in image registration, surgical vision, motion modelling and surgical skill analysis. CMIC provides extensive facilities for development of image guidance and skill analysis technologies and has a strong collaboration with the UCLH Minimal Access Surgery Training Centre and training centres at the Royal Free Hospital, where these technologies can be evaluated, tested and refined towards clinical translation.


The main responsibilities for CMIC within Endoo are to develop the imaging and image interpretation into geometry computing techniques for the platform including the following: i) development of 3D reconstruction based on optical images to recover the full 3D shape of the colon; ii) development of image enhancement methods and modelling to provide more informative imaging information and more effective diagnostic tools; and iii) development of the optimal camera and light source configuration for Endoo platform.


CMIC has an outstanding record of high impact publications, large high profile research income and a comprehensive patent portfolio. CMIC has over 100 researchers and 14 academic staff members with an annual research income in excess of £3M supported by government, charitable bodies, industrial and European funding. CMIC frequently participates in European Projects and is currently participating in seven European Consortiums reflecting the ability of the team to collaborate and deliver timely results and high quality research. In relation to Endoo, CMIC has extensive experience in computational algorithm development for laparoscopic and endoscopic images together with a dedicated laboratory for image-guided interventions and robotic assisted surgery. In addition to CMIC’s in house expertise and experience, UCL has a dedicated European Research office that provides support to project management and administration.


Prof. David Hawkes graduated from Oxford with a BA in Natural Sciences (Physics) in 1974 and obtained an MSc in Radiolobiology in Birmingham in 1975. His first post was as a clinical scientist in nuclear medicine at Southampton General Hospital. After obtaining his PhD in 1982 at the University of Surrey and the Institute of Cancer Research he spent seven years working as a clinical scientist at St. George’s Hospital, London, before returning in 1988 to academia at the United Medical and Dental Schools of Guy's and St Thomas' Hospitals (UMDS), where he received a personal Chair in 1998. He was elected FMedSci in 2011, FBIR in 2007, FREng in 2002, FInstP in 1997 and FIPEM in 1993. He became an NIHR Senior Investigator in 2009. He has 34 years of experience in medical imaging working in both hospital and academic environments. He became Chairman of the Division of Imaging Sciences at King’s College London in 2002 and then took up a new position at UCL as Director of CMIC in 2005. His current research interests encompass image matching, data fusion, visualization, shape representation, surface geometry and modelling tissue deformation. Monitoring response, image guided interventions, augmented reality in surgery, 3D ultrasound and interventional MRI. Currently he is Director of the EPSRC and MRC funded IRC on Medical Imaging and Signals. He receives research funding from the EC, UK EPSRC, MRC, DTI, DoH, CRUK, VisionRT and Philips. He has over 250 publications in medical imaging.

Dr. Danail Stoyanov is a Lecturer at the Department of Computer Science and CMIC at UCL. He graduated from King’s College London with a 1st Class Honours in Electronic Engineering and obtained the PhD degree from Royal Society/Wolfson Medical Image Computing Laboratory at Imperial College London in 2006. He then worked as a post-doctoral fellow in the Hamlyn Centre for Robotic Surgery at Imperial College London. He has over 10 years of experience working in clinical environments for minimally invasive surgery and robotic assisted surgery and held the prestigious Royal Academy of Engineering/EPSRC Research Fellowship between 2009 and 2014. His research is focused on developing computer vision techniques for enhancing navigation and control in emerging minimally invasive and robotic therapies. He has co-authored over 70 journal and conference publications and is a regular invited reviewer for the highest impact journals and conferences in the fields of medical robotics, medical imaging and biomedical engineering. He has co-authored papers winning best paper awards at MICCAI 2004, SMIT 2012, CRAS 2014, CARE 2014. He was program chair for IPCAI 2014 held in Fukuoka, Japan and has been a program committee member at MICCAI in 2013, 2014, 2015.