

Nowadays medical imaging provides major aid in many branches of medicine and enables and facilitates the capture, transmission and analysis of medical images as well as provides assistance towards medical diagnoses. Medical imaging is still on the rise with new imaging modalities being added and continuous improvements of devices' capabilities. Recently, computational intelligence techniques (such as neural networks or evolutionary algorithms) have been employed in various applications in the area of medical imaging. Approaches based on computational intelligence have been shown to be advantageous compared to classical approaches, in particular when classical solutions are hard or impossible to formulate and analyse. The International Workshop on Computational Intelligence in Medical Imaging, held as part of the IEEE Symposium Series on Computational Intelligence 2011, is envisaged as a compilation of the latest trends and developments in the field of computational intelligence in medical imaging. CIMI 2011 is the 3rd installment of the workshop which was previously held in Paris in 2008 and in Cyprus in 2009.
High quality contributions dealing with the use of computational intelligence techniques such as:
in medical imaging are sought. Topics include, but are not limited to:
Gerald Schaefer, Department of Computer Science, Loughborough University, Loughborough, U.K., E-mail: gerald.schaefer@ieee.org
Sergio Damas,European Center for Soft Computing, Mieres, Asturias, Spain, E-mail: sergio.damas@softcomputing.es
Prospective authors are invited to submit papers of no more than eight (8) pages in IEEE format including results, figures and references. All accepted papers will be included in the workshop proceedings to be published by the IEEE. At least one author of each accepted paper is expected to attend the workshop for presentation.
Authors of best papers will be invited to extend their work for a chapter in one of the following edited books:
All three books will be published in Springer's Studies in Computational Intelligence series.