Programme

Programme 


 

Monday 3rd December

Venue: The Hamlyn Centre, 4th Floor Bessemer Building, South Kensington Campus, Imperial College London

TimeSchedule
 09:00 - 09:45  Registration/Introduction
 09:45 - 10:30  Terry Peters "Mixed and augmented reality in medicine. An historical perspective (1)"
 10:30 - 11:00  Coffee Break
 11:00 - 11:45  Terry Peters "Mixed and augmented reality in medicine. An historical perspective (2)"
 11:45 - 12:30  Celia Riga "Update on Endovascular Interventions"
 12:30 - 14:00  Lunch Break
 14:00 - 14:45  Ed Johns "Deep Learning for Computer Vision (1)"
 14:45 - 15:30  Ed Johns "Deep Learning for Computer Vision (2)"
 15:30 - 16:00  Coffee Break
 16:00 - 16:45  Jonny Hancox "Healthcare Computing in the AI era (1)"
 16:45 - 17:30  Jonny Hancox "Healthcare Computing in the AI era (2)"
Summary of the table's contents

 

Tuesday 4th December

Venue: The Hamlyn Centre, 4th Floor Bessemer Building, South Kensington Campus, Imperial College London

TimeSchedule
 09:00 - 09:45  Pierre Jannin "Surgical Data Science (1)"
 09:45 - 10:30  Pierre Jannin "Surgical Data Science (2)"
 10:30 - 11:00  Coffee Break
 11:00 - 11:45  Tom Vercauteren "Image Computing for Computer‐assisted Surgery in the Wild: A Focus on Fetal Therapy (1)"
 11:45 - 12:30  Tom Vercauteren "Image Computing for Computer‐assisted Surgery in the Wild: A Focus on Fetal Therapy (2)"
 12:30 - 14:00  Lunch Break
 14:00 - 14:45  Dan Elson "Biophotonics in the operating theatre (1)"
 14:45 - 15:30  Dan Elson "Biophotonics in the operating theatre (2)"
 15:30 - 16:00  Coffee Break
 16:00 - 16:45  Stamatia Giannarou "Surgical Vision for Robot-Assisted Neurosurgery"
 16:45 - 17:30  Robotic Platforms
Summary of the table's contents

 

 Wednesday 5th December

VenueThe Hamlyn Centre, 3th Floor Paterson Building, St Mary's CampusImperial College London

TimeSchedule
 09:00 - 09:45  Neil Tolley "Robotics in Head and Neck Surgery"
 09:45 - 10:30  Bidan Huang "Robot learning from human demonstrations for personalized stent graft manufacturing"
 10:30 - 11:00  Coffee Break
 11:00 - 11:45  Dan Stoyanov "Surgical Robot Vision (1)"
 11:45 - 12:30  Dan Stoyanov "Surgical Robot Vision (2)"
 12:30 - 14:00  Lunch Break
 14:00 - 14:45  Hands-on Session
 14:45 - 15:30  Hands-on Session
 15:30 - 16:00  Coffee Break
 16:00 - 16:45  Hands-on Session
 16:45 - 17:30  Hands-on Session
Summary of the table's contents

 

Thursday 6th December

VenueThe Hamlyn Centre, 3th Floor Paterson Building, St Mary's CampusImperial College London

TimeSchedule
 09:00 - 09:45  Nicolas Padoy "Computer Vision Approaches for Surgical Workflow Analysis (1)"
 09:45 - 10:30  Nicolas Padoy "Computer Vision Approaches for Surgical Workflow Analysis (2)"
 10:30 - 11:00  Coffee Break
 11:00 - 11:45  Pete Mountney " Image Guided Cardiac Interventions"
 11:45 - 12:30  Pete Mountney "Quantum Machine Learning for Medical Imaging"
 12:30 - 14:00  Lunch Break
 14:00 - 14:45  Group Project
 14:45 - 15:30  Group Project
 15:30 - 16:00  Coffee Break
 16:00 - 16:45  Group Project
 16:45 - 17:30  Group Project
Summary of the table's contents

 

Friday 7th December

VenueThe Hamlyn Centre, 3th Floor Paterson Building, St Mary's CampusImperial College London

TimeSchedule
 09:00 - 09:45  Raphael Sznitman "Finding the needle in the haystack: Detecting instruments during surgery (1)"
 09:45 - 10:30  Raphael Sznitman "Finding the needle in the haystack: Detecting instruments during surgery (2)"
 10:30 - 11:00  Coffee Break
 11:00 - 11:45  Christos Bergeles "Robot-Assisted Vitreoretinal Surgery for Regenerative Therapies"
 11:45 - 12:30  Justin Garner "Bronchosopic Lung Volume Reduction"
 12:30 - 14:00  Lunch Break
 14:00 - 14:45  Group Project
 14:45 - 15:30  Group Project
 15:30 - 16:00  Project Evaluation
 16:00 - 16:45  Project Evaluation
 16:45 - 17:30  Project Evaluation
Summary of the table's contents

 

Speakers


 
Professor Daniel Elson
Daniel Elson is a Professor in the Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer and the Institute of Global Health Innovation. Research interests are based around the development and application of photonics technology with endoscopy for surgical imaging applications, including multispectral imaging, polarization-resolved imaging, fluorescence imaging, combined with computer vision techniques for structured lighting and tissue surface reconstruction. These devices are finding application in minimally invasive surgery and in the development of new flexible robotic assisted surgery systems. This research has been funded by the ERC, EPSRC, TSB, Wellcome Trust and the NIHR, as well as collaborations with industrial partners such as Karl Storz, Covidien, Cymtec and Intuitive Surgical. Professor Elson has published over 95 peer reviewed journal articles, one edited book, twelve book chapters and has contributed to more than 300 conferences.
 
 
Dr Stamatia (Matina) Giannarou

Stamatia (Matina) Giannarou received the MEng degree in Electrical and Computer Engineering from Democritus University of Thrace, Greece in 2003, the MSc degree in communications and signal processing and the Ph.D. degree in image processing from the department of Electrical and Electronic Engineering, Imperial College London, UK in 2004 and 2008, respectively. Currently she is a Royal Society University Research Fellow and a Lecturer in Surgical Cancer Technology and Imaging at the Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, UK. Her research focuses on enhanced surgical vision for intraoperative navigation in minimally invasive and robot-assisted operations. She received best paper awards at the “Rank Prize Symposium on Medical Imaging Meets Computer Vision 2013”, the MICCAI 2014 workshop on “Modeling and Monitoring of Computer Assisted Interventions” (M2CAI) and the 2016 International Conference on Information Processing in Computer-Assisted Interventions (IPCAI). Recently, she won “The President’s Award for Outstanding Early Career Researcher 2017” at Imperial College London. She has also been invited to present her work at a number of international workshops and symposia.  She is a regular reviewer for high impact journals and conferences in the fields of medical robotics, medical imaging and biomedical engineering and one of the main organisers of the annual Hamlyn Winter School on Surgical Imaging and Vision.

Dr Terry Peters
Dr. Terry Peters is a Scientist in the Imaging Research Laboratories at the Robarts Research Institute, London, ON, Canada, and past Director of the Biomedical Imaging Research Centre at Western University in London, Canada.. He is a Professor in the Departments of Medical Imaging and Medical Biophysics, and the School of Biomedical Engineering, at Western. His research focusses on the development and application of techniques for image-guided surgery and therapy. He has authored over 300 peer-reviewed papers and book chapters, and has mentored over 90 trainees. He is a Fellow of the IEEE and the Royal Society of Canada.
 

Dr Christos Bergeles
Dr Christos Bergeles (King’s)Senior Lecturer, directs the “Robotics and Vision in Medicine Lab” whose mission is to develop micro-surgical robots that deliver regenerative therapies deep inside the human body. Dr Bergeles has been awarded an ERC Starting Grant and holds i4i NIHR funding for the development of instrumentation that delivers stem cells to diseased retinal layers.  His active grant funding as PI is > £2.5M, which supports his team of 6 PhD students and 4 PDRAs. He has co-authored > 40 articles in top-tier conferences and journals, and his research has been cited > 800 times. He is an Associate Editor of the IEEE Transactions on Robotics, and the IEEE Int. Conf. Robotics and Automation. He is regularly invited as an invited speaker at international workshops and schools. His team and he are very active in public engagement and patient involvement activities, and regularly deliver keynotes to broad engineering audiences (e.g. at the IET Savoy Place, attracting more than 200 participants), but also children and lay members of the public (e.g. Pint of Science, and Secret Cinema in collaboration with the Royal Institution).
 

Dr Raphael Sznitman
Raphael Sznitman received his B.Sc. in cognitive science from the University of British Columbia (Canada) in 2007. Following this, he studied Computer Science at Johns Hopkins University where he received his M.Sc and PhD in 2011. From 2011 to 2014, he was a postdoctoral fellow at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. Now an Assistant Professor at the ARTORG Center for Biomedical Engineering Research of the University of Bern (Switzerland), his research interests lie in the fields of computer vision and machine learning with applications to biomedical imaging, surgery and histology.
 

Dr Pierre Jannin
Pierre Jannin is INSERM Research Director at the Medical School of the University of Rennes (France). He is the head of the MediCIS research group from both UMR 1099 LTSI, Inserm research institute and University of Rennes. He has more than 30 year experience in designing and developing computer assisted surgery systems. His research topics include surgical data science, surgical robotics, image-guided surgery, augmented and virtual reality, modeling of surgical procedures and processes, study of surgical expertize, surgical training and validation methodology applied within different surgical specialties including functional neurosurgery, minimally invasive surgery and Ob/Gyn. He authored or co authored more than 80 peer-reviewed international journal papers and more than 80 international conferences long papers. He was the President of the International Society of Computer Aided Surgery (ISCAS) from 2014 to 2018 and the General Secretary from 2004 to 2014. He was board member of the MICCAI society from 2014 to 2018. He is an elected MICCAI Fellow since 2018. He is senior member of the SPIE society. He is Deputy Editor for the International Journal of Computer Assisted Radiology and Surgery. He is member of the Editorial Board of the Journal of Computer Aided Surgery. He is acted as associate editor and reviewer for several journals (e.g., IEEE TMI, MedIA, IJCARS, Neuroimage, Yearbook of Medical Informatics). He is member of several Organizing and Program Committees of international conferences, such as MICCAI, CARS, SPIE Medical Imaging, and MMVR. He was Program Co-Chair of MICCAI 2017. He is co-founder of IPCAI conferences and was Co-General Chair from 2010 to 2016.
 

Dr Bidan Huang
Bidan Huang is currently a research associate at the Hamlyn Centre for Robotic Surgery, Imperial College London. She received her PhD degree in the University of Bath for her study on robotics in 2015. In 2012-2014, she was a visiting student of the Learning Algorithms and Systems Laboratory (LASA), Swiss Federal Institute of Technology in Lausanne (EPFL). Her main research interests are in robot learning, control, grasping and manipulation. Her research goal is to equip robot with human level hand dexterity for object manipulation in medical, industrial and daily life environments.
 

Dr Peter Mountney
Peter Mountney PhD is a Program Manager and Senior Key Expert Scientist at Siemens Healthineers. His research interests lie in the fields of machine learning, medical imaging and quantum technologies. His research focuses on developing deep technology and translating it into applications. Peter carried out his PhD and post-doctoral work at Imperial College London. He is a Visiting Lecturer at Kings College London in the Department of Biomedical Engineering and the Royal Society Entrepreneur in Residence at UCL in AI and Quantum.
 

Dr Jonny Hancox

Jonny Hancox is a Healthcare Solution Architect at NVIDIA, and specialises in Deep Learning for Medical Imaging. Prior to joining NVIDIA, he worked in a Health & Life Sciences research enablement team at Intel, based at Imperial College. Although originally trained as a product designer, most of his 20+ years in technology has been in Software Development - often automating the interpretation of images and other unstructured data. Jonny enjoys working with academics, researchers and clinicians to accelerate today’s AI workloads.

Mr Justin Garner

Justin Garner qualified from Imperial College School of Medicine in 2008. He is training as a specialist respiratory registrar in the North West Thames deanery. He is currently undertaking a PhD ‘Evaluating the Effects of Surgical and Bronchoscopic Lung Volume Reductions on the Structure, Function, and Inflammation of the Small Airways’.