[Imageworld] Final CFP + extension: MICCAI Workshop on Manifolds in Medical Imaging - Deadline 29MAY08

[robert pless]

Final CFP and extension of submission deadline.

MICCAI Workshop: Manifolds in Medical Imaging: Metrics, Learning and Beyond

New submission deadline, June 5, 2008
Papers to be published in the Insight Journal
(www.insight-journal.org).

September 10, 2008, New York City
http://www.cs.wustl.edu/~pless/MMI <http://www.cs.wustl.edu/%7Epless/MMI> ,
questions to: pless at cs.wustl.edu

In modern medical image data, manifolds arise at varying scales. At one
extreme, complete 3D data sets lie along manifolds parameterized by (for
example) patient breathing and heartbeat patterns, or by confounding
variables such as parameters or templates used in an image warping
algorithm. At the other extreme, measurements taken at each voxel in
multi-parametric MR images lie along locally defined manifolds that reflect
nonlinear relationships among various MRI measurements on a voxel.

Discovering, visualizing and exploiting the structure of these manifolds
supports the ability to select image-derived attributes that are informed by
the structure of the underlying manifold. This offers fundamentally new
tools for image registration, segmentation, visualization, reconstruction,
and classification of data volumes. This workshop aims to bring together
researchers in computer science, applied mathematics, statistics and medical
imaging to present state of the art developments in this area.

Submissions are encouraged in (but not limited to) the following topics:

Manifold analysis:
 - Learning natural manifolds (such as those occurring in 4D CT and cardiac
MR)
 - Manifold tools for deformable shape registration and image segmentation
 - Diffusion tensor image analysis and visualization
Theoretical Advances
 - Characterization of the manifold structure in natural data sets
 - Distance metrics appropriate for medical imaging
 - Novel and efficient manifold learning algorithms
Normative data sets
 - Motion phantoms with known ground truth to support formal validation
 - Baseline/comparative results on realistic data

General Chairs:
 - Robert Pless, Washington University in St. Louis
 - Christos Davatzikos, University of Pennsylvania

Area Chairs:
 - Richard Souvenir, University of North Carolina at Charlotte
 - Anders Brun, Linkoping University

Program Committee:
 - Ghassan Hamarneh, Simon Fraser University
 - Andrew Hope, University of Toronto
 - Rasmus Larsen, Technical University of Denmark
 - François G. Meyer, University of Colorado
 - Xavier Pennec, INRIA
 - Ragini Verma, University of Pennsylvania
 - Carl-Fredrik Westin, Harvard
 - Axel Wismueller, Rochester

Important Deadlines:

Submission: June 5
Acceptance: June 30
Final versions: July 10

http://www.cs.wustl.edu/~pless/MMI <http://www.cs.wustl.edu/%7Epless/MMI>
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