Accurate network modeling is critical to the design of network protocols. Traditional modeling approaches, such as Discrete Time Markov Chains (DTMC) are limited in their ability ...
In this paper we propose a generative statistical approach for the three dimensional (3D) extraction of the branching structure of unfoliaged deciduous trees from urban image seque...
We present a model-driven approach to the segmentation of nasal cavity and paranasal sinus boundaries. Based on computed tomography data of a patients head, our approach aims to ex...
Carsten Last, Simon Winkelbach, Friedrich M. Wahl,...
This paper presents the cognitive model of gastroesophageal reflux disease (GERD) developed for the Maryland Virtual Patient simulation and mentoring environment. GERD represents a...
Marjorie McShane, Sergei Nirenburg, Stephen Beale,...
Intracellular signaling pathways as well as the interactions and coordination that exist among them are complex and difficult to visualize and understand. Computer-based models of...