MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of late...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Recent advances in diffusion weighted MR imaging (dMRI) has made it a tool of choice for investigating white matter abnormalities of the brain and central nervous system. In this w...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Fusion of Magnetic Resonance Imaging (MRI) and Trans Rectal Ultra Sound (TRUS) images during TRUS guided prostate biopsy improves localization of the malignant tissues. Segmented p...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Even with the recent advances in multidetector computed tomography (MDCT) imaging techniques, detection of calcified coronary lesions remains a highly tedious task. Noise...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variabi...
MICCAI
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
MICCAI
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. We propose a shape descriptor for 3D ear impressions, derived from a comprehensive set of anatomical features. Motivated by hearing aid (HA) manufacturing, the selection ...
MICCAI
2010
Springer
13 years 9 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
MICCAI
2010
Springer
13 years 9 months ago
2010
Springer
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...