BEGIN:VCALENDAR VERSION:2.0 PRODID:-//128.220.36.25//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Laboratory for Computational Sensing + Robotics X-WR-CALDESC: X-FROM-URL:https://lcsr.jhu.edu X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-12307@lcsr.jhu.edu DTSTAMP:20240329T114412Z CATEGORIES: CONTACT:Ashley Moriarty\; amoriar2@jhu.edu\; https://wse.zoom.us/s/94623801 186 DESCRIPTION:
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\n< p>Abstract:\n
Digital cameras have dramatically cha nged interventional and surgical procedures. Modern operating rooms utiliz e a range of cameras to minimize invasiveness or provide vision beyond hum an capabilities in magnification\, spectra or sensitivity. Such surgical c ameras provide the most informative and rich signal from the surgical site containing information about activity and events as well as physiology an d 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.
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Bio:
\nDan 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) \, a Royal Academy of Engineering Chair in Emerging Technologies and Chief Scientist at Digital Surgery Ltd. Dan first studied electronics and compu ter systems engineering at King’s College London before completing a PhD i n Computer Science at Imperial College London where he specialized in medi cal image computing.
\nDTSTART;TZID=America/New_York:20211013T120000 DTEND;TZID=America/New_York:20211013T130000 LOCATION:https://wse.zoom.us/s/94623801186 SEQUENCE:0 SUMMARY:LCSR Seminar: Danail Stoyanov “Towards Understanding Surgical Scene s Using Computer Vision” URL:https://lcsr.jhu.edu/events/danail-stoyanov/ X-COST-TYPE:free END:VEVENT END:VCALENDAR