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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:adamgibbons/ics
METHOD:PUBLISH
X-PUBLISHED-TTL:PT1H
BEGIN:VEVENT
UID:RWO0Kt6hhPcp90VfjUgUB
SUMMARY:Visual computing and machine learning for next-generation image-gui
	ded interventions
DTSTAMP:20260430T144232Z
DTSTART:20260522T070000Z
DESCRIPTION:Description:\nEver-increasing computing power\, rapid advances 
	in deep learning\, and growing amounts of medical data are transforming me
	dical imaging. In image-guided interventions\, however\, leveraging these 
	developments requires careful integration of multiple technologies and rob
	ust system architectures. ImFusion combines classical image processing\, r
	eal-time visual computing\, and modern machine learning to develop advance
	d software for cutting-edge medical devices. \n\nDr. Wolfgang Wein will pr
	esent examples from projects where multiple real-time imaging streams such
	 as ultrasound\, video\, and X-ray are processed jointly\; outline the arc
	hitectural principles behind their software stack\; and show how ImFusion 
	evolved towards hybrid solutions spanning medical devices\, browser-based 
	applications\, and cloud backends. The talk concludes with perspectives on
	 trends and challenges in bringing innovative software into the regulated 
	medical device ecosystem.\n--------------------------------\n\nSpeaker:\n-
	 Wolfgang Wein\n\n--------------------------------\n\nTalk details:\n- Lin
	k to the Big Techday website: https://bigtechday.com/en/talks#4cjy3Cq9lRk9
	bLXV3lUzop\n
LOCATION:Strietzel
DURATION:PT50M
END:VEVENT
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