156 citations · 826 across the 30 of their papers we have counts for
4 papers · 1 filter
Quantitative Magnetic Resonance Imaging by Nonlinear Inversion of the Bloch Equations
Nick Scholand, Xiaoqing Wang, Volkert Roeloffs +2
Purpose: Development of a generic model-based reconstruction framework for multi-parametric quantitative MRI that can be used with data from different pulse sequences. Methods: Gen…
In silico modeling for personalized stenting in aortic coarctation
Dandan Ma, Yong Wang, Mueed Azhar +3
Stent intervention is a recommended therapy to reduce the pressure gradient and restore blood flow for patients with coarctation of the aorta (CoA). In this work, we developed a fr…
Deep, Deep Learning with BART
Moritz Blumenthal, Guanxiong Luo, Martin Schilling +2
Purpose: To develop a deep-learning-based image reconstruction framework for reproducible research in MRI. Methods: The BART toolbox offers a rich set of implementations of calibra…
Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models
Guanxiong Luo, Moritz Blumenthal, Martin Heide +1
We introduce a framework that enables efficient sampling from learned probability distributions for MRI reconstruction. Different from conventional deep learning-based MRI reconstr…