Modern networks are very complex. It is highly desirable to reduce management complexity in next generation network design. Researchers have been seeking inspiration in natural ob...
—Diffusion Tensor MRI (DTI) is a rather recent image acquisition modality that can help identify disease processes in nerve bundles in the brain. Due to the large and complex nat...
Matthan W. A. Caan, Frans M. Vos, Antoine H. C. va...
Region Of Interest Based Image Classification (ROIBIC) is a mechanism for categorising images according to some specific component or object that features across a given image set....
Abstract. A novel method for estimating a field of orientation distribution functions (ODF) from a given set of DW-MR images is presented. We model the ODF by Cartesian tensor basi...
Yonas T. Weldeselassie, Angelos Barmpoutis, M. Ste...
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...