MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. This paper presents a novel active surface segmentation algorithm using a multiscale shape representation and prior. We define a parametric model of a surface using spher...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. This paper describes an automatic tissue segmentation algorithm for brain MRI of young children. Existing segmentation methods developed for the adult brain do not take i...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
We describe scripting facilities to create medical animations for intervention planning based on medical volume data and derived segmentation information. A data independent script...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomograph...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Diffusion tensor and functional MRI data provide insight into function and structure of the human brain. However, connectivity analysis between functional areas is still a challeng...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. In this paper, we present algorithms to automatically detect and match landmark curves on cortical surfaces to get an optimized brain conformal parametrization. First, we...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. This paper introduces a new similarity measure for multimodal image registration task. The measure is based on the generalized survival exponential entropy (GSEE) and mut...
MICCAI
2006
Springer
14 years 9 months ago
2006
Springer
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...