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We propose a novel framework for tissue abnormality characterization in normal appearing brain tissue (NABT) that is progressively deteriorating, using affinity propagation applied to multi-parametric data created using a combination of magnetic resonance (MR) protocols. While traditional tissue segmentation and clustering can reveal clusters pertaining to healthy and diseased tissue easily, a complete...
Although it is usually assumed in many pattern recognition problems that different patterns are distinguishable, some patterns may have inseparable overlap. For example, some facial expressions involve subtle muscle movements, and are difficult to separate from other expressions or neutral faces. In this paper, we consider such overlapped patterns as "clusters", and present a novel method...
This paper addresses the problem of statistical analysis of diffusion tensor magnetic resonance images (DT-MRI). DT-MRI cannot be analyzed by commonly used linear methods, due to the inherent nonlinearity of tensors, which are restricted to lie on a nonlinear submanifold of the space in which they are defined, namely R6. We estimate this submanifold using the isomap manifold learning technique and...
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