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SUMMARY:Graphical Models and Discrete Optimization in Biomedical Imaging: 
 Theory and Applications - Paragios\, N (cole Centrale de Paris)
DTSTART:20110822T134500Z
DTEND:20110822T143000Z
UID:TALK32434@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Image-based bio-markers have become powerful diagnostic tools 
 due to the rapid and amazing development of medical hardware. In such a co
 ntext\, efficient processing and understanding of the corresponding images
  has gained significant attention over the past decade. The task to be add
 ressed is extremely challenging due to: (i) curse of non-linearity (images
  and desired bio-markers exhibit a non-linear relationship)\, (ii) curse o
 f dimensionality (number of degrees of freedom versus their inference)\, (
 iii) curse of non-convexity (designed objective functions present numerous
  local minima) and (iv) curse of modularity (variability of organs\, imagi
 ng modalities).\nIn this talk\, we will provide some preliminary answers t
 o the aforementioned challenges by exploiting through graphical models and
  discrete optimization algorithms. Furthermore\, concrete examples will be
  presented towards addressing fundamental problems in biomedical perceptio
 n like knowledge-based segmentation and deformable image fusion.\n\n
LOCATION:Seminar Room 1\, Newton Institute
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