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SUMMARY:Geodesic Information Flows: Information propagation and its applic
 ation to segmentation\, fusion and data synthesis - Dr M Jorge Cardoso\, L
 ecturer in Quantitative Neuroradiology\, University College London
DTSTART:20150611T113000Z
DTEND:20150611T123000Z
UID:TALK59654@talks.cam.ac.uk
CONTACT:Nicholas Morgan
DESCRIPTION:Homogenising the availability of augmentative information\, su
 ch as voxel-wise binary or probabilistic tissue segmentations\, and struct
 ural parcelations\, in large databases has been a critical challenge of me
 dical imaging for many years.  Due to the time consuming nature of generat
 ing these extra sources of knowledge\, the available information tends to 
 be scarce and many times limited to small and morphologically/pathological
 ly similar subsets of data. This talk will explore a novel framework\, cal
 led Geodesic Information Flows\, in which information can be transferred b
 etween morphologically dissimilar images by diffusing and mapping the avai
 lable information through intermediate steps. I'll illustrate the utility 
 of the proposed framework for three applications: brain parcelation using 
 fusion of categorical labels\, tissue segmentation using probabilistic mod
 els and image synthesis.
LOCATION:Seminar Room\, Herchel Smith Building\, Forvie Site
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