[visionlist] Call for papers: Medical Content-based Retrieval for Clinical Decision Support

[Henning Müller]

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		         CALL FOR PAPERS
       MCBR-CDS 2009: Medical Content-based Retrieval for
           		Clinical Decision Support
                        September 20th, 2009
                            London, UK
   http://www.almaden.ibm.com/cs/projects/aalim/multimodal-decision.html
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              ** Paper Submisions Due May 22th, 2008 **

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Call for Papers
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Diagnostic decision making (using images and other clinical data) is 
still very much an art for many physicians in their practices today due 
to a lack of quantitative tools and measurements. Traditionally, 
decision making has involved using evidence provided by the patient’s 
data coupled with a physician’s a priori experience of a limited number 
of similar cases. With advances in electronic patient record systems, a 
large number of pre-diagnosed patient data sets are now becoming 
available. These datasets are often multimodal consisting of images 
(x-ray, CT, MRI), videos and other time series, and textual data (free 
text reports and structured clinical data). Analyzing these multimodal 
sources for disease-specific information across patients can reveal 
important similarities between patients and hence their underlying 
diseases and potential treatments. Researchers are now beginning to use 
techniques of content-based retrieval to search for disease-specific 
information in modalities to find supporting evidence for a disease or 
to automatically learn associations of symptoms and diseases. 
Benchmarking frameworks such as ImageCLEF (Image retrieval track in the 
Cross-Language Evaluation Forum) have expanded over the past five years 
to include large medical image collections for testing various 
algorithms for medical image retrieval. This has made comparisons of 
several techniques for visual, textual, and mixed medical information 
retrieval as well as for visual classification of medical data possible 
based on the same data and tasks.

The goal of this workshop is to bring together researchers in medical 
imaging, medical image retrieval, data mining, text retrieval, and 
machine learning/AI communities to discuss new techniques of multimodal 
mining/retrieval and their use in clinical decision support. We are 
looking for original, high-quality submissions that address innovative 
research and development in the analysis, search and retrieval of 
multimodal medical data for use in clinical decision support. Further, 
to encourage a larger group of image analysis researchers to profit from 
the databases and evaluations created in the context of ImageCLEF, we 
will provide access to the medical databases and tasks of ImageCLEF 2009 
which has obtained rights from RSNA to use over 70,000 images of the 
journals Radiology and Radiographics.

Topics for the workshop include but are not limited to:
--Mining of multimodal medical data (X-ray, MRI, CT, echo videos, time 
series data)
--Machine learning of disease correlations from mining multimodal data
--Algorithms for indexing and retrieval of data from multimodal medical 
databases
--Disease model-building and clinical decision support systems based on 
multimodal analysis
--Practical applications of clinical decision support using multimodal 
data retrieval or analysis
--Algorithms for medical image retrieval

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Paper Submission
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Prospective authors are invited to submit papers of not more than
eight(8) pages including results, figures and references. Please use
the MICCAI author kit to format the papers.

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Important Dates
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Paper submission deadline: May 22nd, 2009

Notification of acceptance: June 28th, 2009

Camera ready copy : July 20th, 2009

Workshop date: September 20th 2009