Maximum entropy methods for biological and medical images

22 Oct 2018
memimaging
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Volker J Schmid
Professor for Bayesian Imaging and Spatial Statistics

Volker J Schmid is a professor of statistics with a focus on Bayesian statistics for image and spatial analysis.

Publications

Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis

Background: For the kinetic models used in contrast-based medical imaging, the assignment of the arterial input function named AIF is …
Project DOI

Maximum Entropy Approach in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Project DOI