MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
We present a robotically assisted prostate brachytherapy system and test results in training phantoms. The system consists of a transrectal ultrasound (TRUS) and a spatially co-reg...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. The creation of average anatomical atlases has been a growing area of research in recent years. It is of increased value to construct representations of, not only intensi...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. This paper presents a new approach to regional myocardial contractility analysis based on inter-landmark motion (ILM) vectors and multivariate outlier detection. The prop...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. The branching pattern and geometry of coronary microvessels are of high interest to understand and model the blood flow distribution and the processes of contrast invasi...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
Motivated by the current limitations of automated quantitative image analysis in discriminating among intracellular immunohistochemical (IHC) staining patterns, this paper presents...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo seq...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
The use of vision based algorithms in minimally invasive surgery has attracted significant attention in recent years due to its potential in providing in situ 3D tissue deformation...
MICCAI
2007
Springer
15 years 11 days ago
2007
Springer
Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model de...