[SCore-users-jp] CFP

[Yutaka Ishikawa]

SCoreユ−ザの皆様、

クラスタを医療面で使われている方もいらっしゃるかと思い、関係する論文募集案内を
流させて頂きます。

石川＠PCクラスタコンソ−シアム会長

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                           Call for Papers

                         MICCAI-Grid Workshop
        Medical imaging on grids: achievements and perspectives

             September 6, 2008. In conjunction with MICCAI.

                           New York, USA

              http://www.i3s.unice.fr/~johan/MICCAI-Grid


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Medical image computing raises new challenges related to the scale and
complexity of the required analysis, for example in studies that require
the federation of large data sets or in complex models and processing.
Grid technology is addressing problems related to large data sets
manipulation over wide computing networks, providing tools for exchanging
data and computing power and additionally serving as a vector for
structuring the user communities as they enable cross-enterprises
collaborations.

In the medical imaging area, grids provide a foundational layer that can
be exploited e.g., to build patient-specific models, reduce computing time
to meet clinical practice constraints, algorithms validation and
optimization, or collaborative studies on rare diseases. Specific grids
initiatives are emerging worldwide, demonstrating a growing interest from
the health community for such infrastructures and impacting the way to
conduct medical research. However, deploying medical image analysis
applications on grid infrastructures requires a proper understanding of
the specific needs in this area.

The scientific objectives of the MICCAI-Grid workshop are both to
demonstrate the current achievements of grid technologies within the
medical imaging community and to precisely identify the fundamental
problems limiting the adoption of existing systems and methods. The
workshop also intends to stimulate the community to build new
collaborations by taking advantage of the sharing capabilities of grids.
The MICCAI-Grid workshop will be held on 6 September 2008, in conjunction
with the MICCAI conference.


*** Topics:

We kindly invite you to submit papers including the following topics:
   * Medical image analysis application using grids
   * Medical image pipelines and workflows
   * Distributed and heterogeneous medical databases
   * Medical data representation, structure and annotation
   * Large scale and statistical studies
   * Content-based retrieval and data mining
   * Methods evaluation and parameter sweep studies
   * Medical data visualization using grid resources
   * Dedicated grid infrastructures
   * Standards for exchanging data and algorithms


*** Paper Submission:

Please submit papers of up to 10 pages until April 28 following the format
and instructions in http://www.i3s.unice.fr/~johan/MICCAI-Grid.

The workshop proceedings will be distributed in CD-ROM and published as a
special issue of the Insight Journal. Extended versions of selected papers
will be invited for a special issue of Medical Image Analysis.


*** Important dates:

Deadline for submission:       May 9, 2008
Acceptance notification:     June 20, 2008
Camera ready:                July 18, 2008
Workshop venue:          September 6, 2008


*** Program committee:

Christian Barillot, CNRS / IRISA, FR
Ignacio Blanquer Espert, Univ Politecnica de Valencia, ES
Stephan Erberich, University of Southern California, USA
Alejandro Frangi, Pompeu Fabra University, ES
Marco Antonio Gutierrez, Heart Institute, Sao Paulo, BR
Tristan Glatard, University of Amsterdam, NL
Ron Kikinis, Harvard Medical School, Boston, USA
Diane Lingrand, University Nice - Sophia Antipolis / I3S, FR
Isabelle Magnin, INSERM-CNRS / CREATIS-LRMN, FR
David Manset, Maat-G, FR
Richard McClatchey, University of West England, UK
Toshiharu Nakai, Nat Center of Geriatrics and Gerontology, Aichi, JP
Xavier Pennec, INRIA Sophia Antipolis, FR
Daniel Rueckert, Imperial College, UK
Arthur Toga, University of California, Los Angeles, USA


*** Workshop organizers / Contacts

Silvia D. Olabarriaga, Amsterdam Medical Center, University of Amsterdam, NL
s.d.olabarriaga ＠ amc.uva.nl

Johan Montagnat, CNRS / I3S, FR
johan ＠ i3s.unice.fr