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Focal and diffuse fibrosis will be assessed using LGE and precontrast and postcontrast T1 mapping to estimate the myocardial ECV.
We used simple spatial mapping to estimate the average spatial patterns of pollutants [see Supplemental Material (doi 10.1289/ehp.0901602)].
In Section 3.2, we will briefly describe the bi-level hierarchical Bayesian models commonly used in the context of disease mapping to estimate area relative risks.
Indeed a recent report by the UK NICE relied heavily on the use of mapping to estimate the cost-effectiveness of a number of interventions concerned with the care and management of osteoarthritis in adults [ 44].
A 13-year-old girl with mitochondrial membrane protein-associated neurodegeneration treated with an iron-chelating agent was monitored by R2 relaxometry, R2* relaxometry, and quantitative susceptibility mapping to estimate the brain iron content.
This was also the case in the study by Marra et al. [ 39], who used mapping to estimate the ICER associated with two different drug strategies for patients with rheumatoid arthritis.
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Align each model to the map to estimate their scaling factors relatively to the real-world coordinate system.
Mei et al. used an old vSLAM map to estimate camera motion at run-time in see-through.
The information was combined with land use/land cover (LULC) map and agro-ecological zone (AEZ) digital maps to estimate SOC sequestration.
Results indicate that GLAS data can be used to attribute digital land cover maps to estimate forest resources over subcontinental areas encompassing hundreds of thousands of square kilometers.
The simplest data manipulation was simple summing of biomass across all pixels in a given map to estimate total forest biomass at the national scale.
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