Boosting in Nonlinear Regression Models with an Application to DCE-MRI Data

Volume: 55, Issue: 01, Pages: 31 - 41
Published: Jan 1, 2016
Abstract
For the statistical analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data, compartment models are a commonly used tool. By these models, the observed uptake of contrast agent in some tissue over time is linked to physiologic properties like capillary permeability and blood flow. Up to now, models of different complexity have been used, and it is still unclear which model should be used in which situation. In previous...
Paper Details
Title
Boosting in Nonlinear Regression Models with an Application to DCE-MRI Data
Published Date
Jan 1, 2016
Volume
55
Issue
01
Pages
31 - 41
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