Search results for "SLI"
showing 10 items of 1729 documents
Prevalence and clinical relevance of collateral findings in a cohort of patients with suspected coronary artery disease assessed with Multislice Comp…
2009
Prognostic value at 24 months of Multislice Computed Tomography Coronary Angiography in patients with atypical chest pain.
2009
Prognostic outcome of atherosclerotic plaques in patients with suspected coronary artery disease assessed with Multislice Computed Tomography Coronar…
2010
Imaging of atherosclerotic plaque with non invasive Multislice Computed Tomography Coronary Angiography
2011
Assessment of Coronary Plaque with Multislice Computed Tomography
2006
Influence of the heart rate in the selection of the optimal reconstruction phase in clinical routine Multislice Coronary Angiography
2006
PREVALENCE OF MYOCARDIAL BRIDGING AND CORRELATION WITH CORONARY ATHEROSCLEROSIS STUDIED WITH 64-SLICE CT CORONARY ANGIOGRAPHY
2009
Exploring the effect of absence selection on landslide susceptibility models: A case study in Sicily, Italy
2016
Abstract A statistical approach was employed to model the spatial distribution of rainfall-triggered landslides in two areas in Sicily (Italy) that occurred during the winter of 2004–2005. The investigated areas are located within the Belice River basin and extend for 38.5 and 10.3 km 2 , respectively. A landslide inventory was established for both areas using two Google Earth images taken on October 25th 2004 and on March 18th 2005, to map slope failures activated or reactivated during this interval. Geographic Information Systems (GIS) were used to prepare 5 m grids of the dependent variables (absence/presence of landslide) and independent variables (lithology and 13 DEM-derivatives). Mul…
Mapping Susceptibility to Debris Flows Triggered by Tropical Storms: A Case Study of the San Vicente Volcano Area (El Salvador, CA)
2021
In this study, an inventory of storm-triggered debris flows performed in the area of the San Vicente volcano (El Salvador, CA) was used to calibrate predictive models and prepare a landslide susceptibility map. The storm event struck the area in November 2009 as the result of the simultaneous action of low-pressure system 96E and Hurricane Ida. Multivariate Adaptive Regression Splines (MARS) was employed to model the relationships between a set of environmental variables and the locations of the debris flows. Validation of the models was performed by splitting 100 random samples of event and non-event 10 m pixels into training and test subsets. The validation results revealed an excellent (…
Prediction of debris-avalanches and -flows triggered by a tropical storm by using a stochastic approach: An application to the events occurred in Moc…
2019
Abstract Landslides are among the most dangerous natural processes. Debris avalanches and debris flows in particular have often caused casualties and severe damage to infrastructures in a wide range of environments. The assessment of susceptibility to these phenomena may help policy makers in mitigating the associated risk and thus it has attracted special attention in the last decades. In this experiment, we assessed susceptibility to debris-avalanche and -flow landslides by using a stochastic approach. Two different modeling techniques were employed: i) Multivariate Adaptive Regression Splines (MARS) and ii) Logistic Regression (LR). Both MARS and LR allow for calculating the probability …