Abstract. We propose an algorithm for the segmentation of blood vessels in the kind of CT-data typical for diagnostics in a clinical environment. Due to poor quality and variance i...
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
We explore a novel motion feature as the appropriate basis for classifying or describing a number of fine motor human activities.Ourapproach not only estimates motion directions a...
Jiang Gao, Alexander G. Hauptmann, Howard D. Wactl...
We study the convergence behavior of the Active Mask (AM) framework, originally designed for segmenting punctate image patterns. AM combines the flexibility of traditional active...
Doru-Cristian Balcan, Gowri Srinivasa, Matthew C. ...
Abstract. A central problem in the analysis of functional magnetic resonance imaging (fMRI) data is the reliable detection and segmentation of activated areas. Often this goal is a...
Eero Salli, Ari Visa, Hannu J. Aronen, Antti Korve...