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+++ SUBMISSION DEADLINE EXTENDED TO 15 MAY +++

CfP: Special Issue on Discrete Graphical Models in Biomedical Image Analysis

In Elsevier's Journal of Medical Image Analysis (Impact Factor: 4.087)

Scope

Discrete graphical models have emerged as a powerful tool for image analysis. With the availability of efficient optimization techniques such as graph cuts, linear programming and variants of belief propagation it is now feasible to model complex high-order variable dependencies which often occur in biomedical settings. Discrete methods for medical image processing combine excellent performance with great efficiency. Recent advances in combinatorial optimization will allow to further advance the state-of-the-art. Other methods in this area, such as event-based modeling, have shown great potential in better understanding disease progression and clinical outcomes.

Topics

For this special issue, authors are invited to submit original research papers and high-quality overview and survey articles on topics including, but not limited to:

Methodology

  • Statistical learning
  • Uncertainty estimation
  • Data driven graphical models
  • Higher-order graphical models
  • Efficient combinatorial optimization

Applications

  • Image reconstruction / Image denoising
  • Shapes analysis / Registration / Statistical modeling
  • Model-free / Model-based semantic segmentation
  • Metric learning / Deformation models / Multi-modal registration
  • Time-series / Population analysis

Paper Submission

Full papers can be submitted via the online submission system for Medical Image Analysis (http://ees.elsevier.com/media/). Preparation of the manuscript must follow the Guide for Authors which is available here.

Dates

  • NEW SUBMISSION DEADLINE: May 15, 2014
  • First Round Decisions: July 15, 2014
  • Revisions Deadline: November 15, 2014
  • Final Round Decisions: January 15, 2015
  • Online Publication: 2015

Guest Editors

Ben Glocker
Lecturer, Imperial College London
http://www.doc.ic.ac.uk/~bglocker
b.glocker@imperial.ac.uk

Nikos Paragios
Professor, Ecole Centrale de Paris / INRIA Saclay-Ile-de-France
http://cvc-nikos.centrale-ponts.fr
nikos.paragios@ecp.fr

Ramin Zabih
Professor, Cornell NYC Tech / Weill Cornell Radiology
http://www.cs.cornell.edu/~rdz
rdz@cs.cornell.edu