MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. In this paper we propose a two-step mutual informationbased algorithm for medical image segmentation. In the first step, the image is structured into homogeneous regions,...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. The extraction of quantitative information through Intravascular Ultrasound (IVUS) images is a very important goal for the diagnostic and the therapy in atherosclerotic v...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
The classification of normal and malginant colon tissue cells is crucial to the diagnosis of colon cancer in humans. Given the right set of feature vectors, Support Vector Machines...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying e...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. We propose a new method to generate unfolded area preserving representations of the cerebral cortex. The cortical surface is evolved with an application-specific normal m...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
This paper presents a novel segmentation approach featuring shape constraints of multiple structures. A framework is developed combining statistical shape modeling with a maximum a...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
Partial volume effects are present in nearly all medical imaging data. These artifacts blur the boundaries between different regions, making accurate delineation of anatomical stru...
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
In this paper we develop a spatio-temporal registration algorithm for cardiac MR image sequences. The algorithm has the ability to correct any spatial misalignment between the imag...