Towards Understanding Surgical Scenes Using Computer Vision

On August 24, at 4.00 pm, Prof. Danail Stoyanov, University College London (UCL), will present the Seminar "Towards Understanding Surgical Scenes Using Computer Vision". The seminar is part of Phd in BioRobotics (Seminar Cycle on Medical Robotics and Regenerative Medicine) and is hosted by prof. Arianna Menciassi and prof. Gastone Ciuti.
Streaming on Microsoft Teams from The BioRobotics Institute, Scuola Superiore Sant'Anna

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.

BIOSKETCH

Dan Stoyanov is a Professor of Robot Vision within the Department of Computer Science at University College London, Director of the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), a Royal Academy of Engineering Chair in Emerging Technologies and Chief Scientist at Digital Surgery Ltd. Dan first studied Electronics and Computer Systems Engineering 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.