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» Robust Estimation for Brain Tumor Segmentation
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MICCAI
2003
Springer
14 years 5 months ago
A Statistically Based Surface Evolution Method for Medical Image Segmentation: Presentation and Validation
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...
Eric Pichon, Allen Tannenbaum, Ron Kikinis
IPMI
2001
Springer
14 years 5 months ago
Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering
A mixture model clustering algorithm is presented for robust MRI brain image segmentation in the presence of partial volume averaging. The method uses additional classes to represe...
Aljaz Noe, James C. Gee
JCNS
2010
96views more  JCNS 2010»
13 years 3 months ago
Rapid determination of particle velocity from space-time images using the Radon transform
Laser-scanning methods are a means to observe streaming particles, such as the flow of red blood cells in a blood vessel. Typically, particle velocity is extracted from images form...
Patrick J. Drew, Pablo Blinder, Gert Cauwenberghs,...
MICCAI
2010
Springer
13 years 3 months ago
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization
Abstract. Heart isolation (separating the heart from the proximity tissues, e.g., lung, liver, and rib cage) is a prerequisite to clearly visualize the coronary arteries in 3D. Suc...
Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin...
MICCAI
2009
Springer
14 years 6 months ago
Supervised Nonparametric Image Parcellation
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...