In this article, we present the algorithms and results of our participation in the medical image annotation and retrieval tasks of ImageCLEFmed 2006. We exploit both global featur...
Jing Liu, Yang Hu, Mingjing Li, Songde Ma, Wei-Yin...
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori ...
To date, attempts for applying syntactic information in the document-based retrieval model dominant have led to little practical improvement, mainly due to the problems associated ...
Inspired by recent theoretical advances in compressive sensing (CS), we propose a new framework that combines the classical local discrete cosine transform used in image compressi...
Jiangtao Wen, Zhuoyuan Chen, Yuxing Han, John D. V...