BEGIN:VCALENDAR
VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
BEGIN:VEVENT
UID:4004-409@gi.de
CLASS: PUBLIC
SUMMARY:Medical Imaging with Deep Learning
DESCRIPTION:Imaging is a cornerstone of medicine, and deep learning has sho
 wn its potential to leverage the rapidly growing numbers of medical imaging
  studies. However, most deep learning research in computer vision and machi
 ne learning has focused on natural images. Investigating and deepening thes
 e techniques to the challenges of medical imaging is an important research 
 challenge.\n\nMIDL has a broad scope, including all areas of medical image 
 analysis and computer-assisted intervention, where deep learning is a key e
 lement. Topics of interest include but are not limited to:\n\n 	 Semantic s
 egmentation of medical images 	 Learning based image registration 	 Compute
 r-aided detection and diagnosis 	 Image acquisition, reconstruction and syn
 thesis 	 Transfer learning and domain adaptation 	 Learning with noisy labe
 ls and limited data 	 Unsupervised deep learning and representation learnin
 g 	 Uncertainty estimation for medical diagnosis 	 Interpretability and exp
 lainable deep learning 	 Integration of imaging and clinical data 
LOCATION:Musik- und Kongresshalle Lübeck
DTSTAMP:20210112T115119Z
DTSTART:20210707T100200Z
DTEND:20210709T100200Z
END:VEVENT
END:VCALENDAR