Title: 
"Auto Localization and Segmentation of Occluded Vessels in Robot-Assisted Partial Nephrectomy”

Best Paper Award at MICCAI 2014

Medical Image Computing and Computer Assisted Intervention (MICCAI) is the premier conference in medical image analysis. Ghassan Hamarneh is co-author on a paper that received best paper award at the MICCAI 2014 conference in Boston, USA. The published work is a result of the collaboration between SFU, UBC, Qatar Robotic Surgery Centre and Hamad Hospital in Doha, and is enabled through the Qatari QNRF/NPRP $1M grant on which Ghassan is the Lead PI. The paper is entitled: "Auto Localization and Segmentation of Occluded Vessels in Robot-Assisted Partial Nephrectomy”. In essence, by observing subtle variation in colour with time through a stereo-endoscope, the pulsation of vessels, even if they are hidden behind layers of fat, can be detected and used to augment the surgeons' view, alerting them to critical vessels that need to be clamped and/or avoided during surgical cutting. The work has been invited to a special journal issue (best of MICCAI 2014) and an extended version is published in the the prestigious Medical Image Analysis Journal (5-year IF: 4.78).

Conference paper: http://www.cs.sfu.ca/~hamarneh/ecopy/miccai2014d.pdf  

Journal paper: http://www.cs.sfu.ca/~hamarneh/ecopy/media2015b.pdf

Video or oral presentation in Boston: https://www.youtube.com/watch?v=IYW34D8uvIE

Ghassan’s home pages:  http://www.cs.sfu.ca/~hamarneh/bio.html