3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.AP2017
Contrast Agent Quantification by Using Spatial Information in Dynamic Contrast Enhanced MRI
Jianfeng Wang, Anders Garpebring, Patrik Brynolfsson +2
The purpose of this study is to investigate a method, using simulations, to improve contrast agent quantification in Dynamic Contrast Enhanced MRI. Bayesian hierarchical models (BH…
stat.AP2016★ 3 cited
Whole-brain substitute CT generation using Markov random field mixture models
Anders Hildeman, David Bolin, Jonas Wallin +4
Computed tomography (CT) equivalent information is needed for attenuation correction in PET imaging and for dose planning in radiotherapy. Prior work has shown that Gaussian mixtur…