[visionlist] CfP: MICCAI Workshop on Medical Computer Vision (LNCS, submission deadline extended)

[Bjoern Menze]

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CALL FOR PAPERS

Workshop on Medical Computer Vision
http://groups.csail.mit.edu/vision/mcv2010/

*** Recognition Techniques and Applications
*** in Medical Imaging

Sept 20th, Beijing, China, in conjunction with MICCAI
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This workshop aims at exploring the use of modern image
recognition technology in tasks such as semantic anatomy
parsing, automatic segmentation and quantification, anomaly
detection and categorization, data harvesting, semantic
navigation and visualization, data organization and
clustering, and general-purpose automatic understanding
of medical images. We are especially interested in modern,
scalable and efficient algorithms which can be applied e.g.
to large longitudinal studies, high-resolution n-dimensional
datasets and in hospital-scale databases.

The focus is on principled approaches which go beyond the
limits of current model-driven image analysis, are provably
efficient and which generalize well to previously unseen
images; we are also interested in emerging applications
which go beyond the analysis of individual clinical studies
and specific diagnostic tasks - a current focus of many
computational methods in medical imaging. We encourage the
submission of original papers at the interface of computer
vision, machine learning, and medical imaging analysis, to
push the boundaries of what current medical software
applications can deliver in both clinical and research
medical settings.


*** Proceedings will be published in Springer's 'Lecture
    Notes in Computer Science' (LNCS) ***

*** Invited Speaker: Dorin Comaniciu (Siemens) ***

*** The best submissions will be awarded a Best Scientific
    Paper Prize sponsored by Microsoft Research. ***


Important dates:
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- Submission of full papers: June 15th, 2010 (extended)
- Workshop: September 20, 2010 in Beijing, China
  in conjunction with MICCAI (www.miccai2010.org)


Organizers:
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- Bjoern Menze  (http://www.csail.mit.edu/~menze)
- Georg Langs  (http://www.csail.mit.edu/~langs)
- Zhuowen Tu   (http://www.loni.ucla.edu/~ztu)
- Antonio Criminisi (http://research.microsoft.com/~antcrim)