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» Segmentation of medical images using a genetic algorithm
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ICIP
2001
IEEE
16 years 8 months ago
Multiple parametric motion model estimation and segmentation
This paper presents a motion estimation and segmentation algorithm based on multiple parametric model estimation that determines the a priori unknown number of motion models prese...
Filiberto Pla, Raúl Montoliu
MICCAI
2006
Springer
16 years 7 months ago
Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards
Evaluating registration algorithms is difficult due to the lack of gold standard in most clinical procedures. The bronze standard is a real-data based statistical method providing ...
Tristan Glatard, Xavier Pennec, Johan Montagnat
ISBI
2004
IEEE
16 years 7 months ago
Robust Unsupervised Tissue Classification in MR Images
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
Dzung L. Pham, Jerry L. Prince
ICCV
2009
IEEE
15 years 4 months ago
Non-rigid object localization and segmentation using eigenspace representation
This paper presents a novel non-rigid object localization and segmentation algorithm using an eigenspace representation. Previous approaches to eigenspace methods for object track...
Omar Arif, Patricio A. Vela
SG
2010
Springer
15 years 11 months ago
Self Portraits with Mandelbrot Genetics
This paper is an artist statement describing a manipulation of the Mandelbrot Set equation as the basis for creating semi-figurative images, using a genetic algorithm. Modernist pa...
Jeffrey Ventrella