The Hamlyn Symposium on Medical Robotics (HSMR) is now in its 13th year and has provided an annual forum for surgeons and engineers from across the globe to network and explore the latest developments in medical robotics. Every year researchers, clinicians and engineers are invited to submit papers on a range of topics covering clinical specialities in Urology, Cardiac Surgery, Neuro Surgery, Thoracic Surgery, General Surgery, Gynaecology, ENT, Orthopaedic and Paediatric Surgery.
This year we plan to build beyond the previous achievements and take the symposium to even higher successes with the theme of ‘Surgery and Beyond’. We have already received full CPD accreditation from the Royal College of Surgeons and to complement this we are planning a programme with increased focus on clinical practitioner centered talks, workshops and presentations.
Hamlyn Symposium on Medical Robotics 2021:
Featured Speaker Professor Dan Stoyanov
– Towards Understanding Surgical Scenes Using Computer Vision
We are pleased to announce Professor Dan Stoyanov, Professor of Robot Vision, UCL, is one of the featured speakers of the Hamlyn Symposium on Medical Robotics 2021.
Professor Stoyanov will give a talk on ‘Towards Understanding Surgical Scenes Using Computer Vision’ followed by a Q&A session.
Abstract
Digital cameras have dramatically changed interventional and surgical procedures. Modern operating rooms utilize a range of cameras to minimize invasiveness or provide vision beyond human capabilities in magnification, spectra or sensitivity.
Such surgical cameras provide the most informative and rich signal from the surgical site containing information about activity and events as well as physiology and tissue function. This talk will highlight some of the opportunities for computer vision in surgical applications and the challenges in translation to clinically usable systems.
Biography
Dan Stoyanov is a Professor of Robot Vision in the Department of Computer Science at University College London, Director of the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Royal Academy of Engineering Chair in Emerging Technologies and a Fellow of the Institution of Engineering and Technology.
Dan is also Chief Scientific Officer at Digital Surgery Ltd and Co-Founder of Odin Medical, both companies specialising in developing AI products for interventional healthcare.
Dan first studied Computer Systems and Electronics at King’s College London before completing a PhD in Computer Science at Imperial College London where he specialized in medical image computing. He works on vision problems in minimally invasive surgery especially related to non-rigid structure from motion, scene flow and photometric and geometric camera calibration. His work is applied towards developing image guidance, computational biophotonic imaging modalities and quantitative measurements during robotic assisted minimally invasive procedures.