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» Segmentation of medical images using a genetic algorithm
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MICCAI
1999
Springer
15 years 10 months ago
Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent
The “Demons Algorithm” in increasingly used for non-rigid registration of 3D medical images. However, if it is fast and usually accurate, the algorithm is based on intuitive id...
Xavier Pennec, Pascal Cachier, Nicholas Ayache
ICASSP
2008
IEEE
16 years 1 months ago
Efficient 4D motion compensated lossless compression of dynamic volumetric medical image data
Dynamic volumetric (four dimensional- 4D) medical images are typically huge in file size and require a vast amount of resources for storage and transmission purposes. In this pape...
Victor Sanchez, Panos Nasiopoulos, Rafeef Abugharb...
IPCV
2008
15 years 8 months ago
3D Brain Tumor Segmentation Using Level-Sets Method
The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images. To achieve this goal, we use basically...
Kamel Aloui, Mohamed Saber Naceur
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 12 months ago
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping
Evolutionary relationships among species can be represented by a phylogenetic tree and inferred by optimising some measure of fitness, such as the statistical likelihood of the t...
Leon Poladian
CVPR
2005
IEEE
16 years 8 months ago
A New Active Contour Method Based on Elastic Interaction
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods provide an effective way for segm...
Yang Xiang, Albert C. S. Chung, Jian Ye