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» Robust Fuzzy Segmentation of Magnetic Resonance Images
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IPMI
2007
Springer
14 years 8 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
TMI
1998
166views more  TMI 1998»
13 years 7 months ago
Geodesic Deformable Models for Medical Image Analysis
—In this paper implicit representations of deformable models for medical image enhancement and segmentation are considered. The advantage of implicit models over classical explic...
Wiro J. Niessen, Bart M. ter Haar Romeny, Max A. V...
ISBI
2002
IEEE
14 years 8 months ago
Robust estimation of the hemodynamic response function in asynchronous multitasks multisessions event-related fMRI paradigms
Hemodynamic Response Function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) is essential for a better understanding of cerebral activations. Previous work...
Guillaume Marrelec, Habib Benali, Jérô...
TMI
2008
122views more  TMI 2008»
13 years 7 months ago
Tractography Gone Wild: Probabilistic Fibre Tracking Using the Wild Bootstrap With Diffusion Tensor MRI
Diffusion tensor magnetic resonance imaging (DT-MRI) permits the noninvasive assessment of tissue microstructure and, with fibre-tracking algorithms, allows for the 3-D trajectorie...
D. K. Jones
MICCAI
2008
Springer
14 years 8 months ago
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as eith...
Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matt...