We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
This report describes the English-Chinese crosslanguage retrieval experiments at Berkeley for TREC-9 Cross-Language Information Retrieval track. We present a simple and effective ...
This paper presents a semi-automated segmentation method for short-axis cardiac CT and MR images. The main contributions of this work are: 1) using two different energy functional...
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...