Past Keynote Speakers
"Review of interventional and point-of-care imaging"
As a serial entrepreneur and the president of Synaptive Medical, a company dedicated to developing technologies with an impact to change the standard of care in neurosurgery, Cameron has solid knowledge and expertise in understanding rules of the road for medtech-based entrepreneurship. In this lecture, Cameron shares insights on key strategic trends, changing dynamics in the medical devices industry and a discussion of the importance of new imaging technology in this expanding field. The lecture describes technology trends in this field, specifically the expanding use of optical imaging and magnetic resonance imaging to gather quantitative information at specific points-of-care in the patient care cycle.
Cameron Piron, President and Co-founder, Director: Synaptive is led by Cameron Piron, President and cofounder. Cameron Piron is an industry-recognized leader and innovator in the field of image guided surgery. Prior to co-founding Synaptive Medical, Cameron was the President and co-founder of Sentinelle Medical, a company that developed and manufactured advanced MRI-based breast imaging technologies that grew to over 200 employees and $20M+ revenues before it was acquired by Hologic, Inc. in 2010. Cameron studied systems design engineering at the University of Waterloo, followed by graduate degree at the University of Toronto in medical biophysics. Cameron has received a number of prestigious awards, including R&D Magazine’s Innovator of the Year – the first Canadian ever to win – and the Premier's Catalyst Award for Best Young Innovator, both in 2008. In 2009, he also received an Alumni Achievement medal from the University of Waterloo for his innovative leadership of Sentinelle Medical in the research and manufacture of leading-edge MRI technologies that allow physicians to diagnose breast cancer and other medical conditions more quickly and accurately. He was also named one of Canada’s Top 40 Under 40™ in 2009, a list established by Caldwell Partners to celebrate the achievements of young Canadians in the private, public and not-for-profit sectors. Most recently Cameron has been awarded Most Creative 100 People of 2015 by FastCompany magazine, and Rodale 100 list for 2016, awarding contributors to the field of medicine and wellness.
"Adaptive Single-View 3D Scene Analysis"
Computer vision systems are beginning to rival human vision for certain tasks. However, there are still many ways in which human and machine vision systems are divergent. While most single-view computer vision algorithms are 2D in nature, humans find it almost impossible to see in 2D: an innate 3D sense seems to provide the perceptual scaffolding for our understanding of the world around us. A second divergence concerns the way we learn. Most computer vision learning is supervised, and the resulting systems, once trained, do not adapt. Human perception, on the other hand, appears to be extremely adaptive over many time scales. In this talk James will describe recent research in our lab on single-view scene analysis that attempts to embrace these principles of 3D adaptive perception. Specifically he will review how these principles have led to recent progress on the problems of online camera pose estimation, roadway analytics and crowd estimation.
James Elder, Professor, Department of Electrical Engineering and Computer Science, York University: James Elder received his PhD in Electrical Engineering from McGill University in 1996. He is a member of the Centre for Vision Research and a Professor in the Departments of Electrical Engineering and Computer Science and Psychology at York University. Dr. Elder’s research has won a number of awards and honours, including the Premier’s Research Excellence Award and the Young Investigator Award from the Canadian Image Processing and Pattern Recognition Society. Dr. Elder's research goal is to develop novel and useful computer vision algorithms and machine vision systems through a better understanding of visual processing in biological systems.