Magnetic resonance imaging enhances the clinical diagnosis of Menière's disease. This is accomplished by in vivo detection of endolymphatic hydrops, which are graded using different semi-quantitative grading systems. We evaluated an established, semi-quantitative endolymphatic hydrops score and with a quantitative method for volumetric assessment of the endolymphatic size. 11 patients with Meni...

Many extensions to existing qualitative simulation packages allow combined use of available numeric and qualitative information . Some provide numeric integration across two qualitative states but none of them highlights numerically or semi-quantitatively the qualitatively predicted time points . Moreover, high accuracy at time points is only achieved by a fine level of granularity across the e...

Boundary value problems specifying how external influences on dynamic systems vary over time greatly extend the scope of qualitative reasoning techniques, enabling them to achieve a much wider applicability. This paper discusses conceptual and practical aspects that underlie the problem of handling boundary conditions in SQPC, a sound program for modeling and simulating dynamic systems in the p...

BACKGROUND Whole airway wall thickening on high resolution computed tomography (HRCT) is reported to parallel thickening of the bronchial epithelial reticular basement membrane (RBM) in adult asthmatics. A similar relationship in children with difficult asthma (DA), in whom RBM thickening is a known feature, may allow the use of HRCT as a non-invasive marker of airway remodelling. We evaluated ...

Semi-supervised clustering has recently received a lot of attention in the literature, which aims to improve the clustering performance with limited supervision. Most existing semi-supervised clustering studies assume that the data is represented in a vector space, e.g., text and relational data. When the data objects have complex structures, e.g., proteins and chemical compounds, those semi-su...

Work described in this paper is aimed at developing a monitoring and fault detection system for the process plant. In particular this work concentrates on how to combine qualitative reasoning techniques with conventional numerical sensor fusion techniques. The advantages and disadvantages of using pure numerical or pure qualitative technique alone arefirst demonstrated. A method of developing a...

We present a model-based monitoring method for dynamic systems that exhibit both discrete and continuous behaviors. MIMIC (Dvorak & Kuipers 1991) uses qualitative and semi-quantitative models to monitor dynamic systems even with incomplete knowledge. Recent advances have improved the quality of semi-quantitative behavior predictions, used observations to refine static envelopes around monotonic...