338 citations
- University of GöttingenDE10 papers
- German Centre for Cardiovascular ResearchDE7 papers
- Graz University of TechnologyAT7 papers
- Universitätsmedizin GöttingenDE7 papers
- BioTechMed-GrazAT4 papers
- Advanced Imaging Research (United States)US2 papers
- Max Planck Institute for Biophysical ChemistryDE2 papers
- Max Planck Institute for Dynamics and Self-OrganizationDE2 papers
- New York UniversityUS2 papers
- Stanford UniversityUS2 papers
- Academia SinicaTW1 paper
- Campus-Institut Data Science (CIDAS)DE1 paper
13 papers
Online jump and kink detection in segmented linear regression: Statistical optimality meets computational efficiency
Annika Hüselitz, Housen Li, Axel Munk
We consider the problem of sequential (online) estimation of a single change point in a piecewise linear regression model under a Gaussian setup. We demonstrate that certain CUSUM-…
Rational Approximation of Golden Angles: Accelerated Reconstructions for Radial MRI
Nick Scholand, Philip Schaten, Christina Graf +6
Purpose: To develop a generic radial sampling scheme that combines the advantages of golden ratio sampling with simplicity of equidistant angular patterns. The irrational angle bet…
Variance Sum Rule for Entropy Production
I. Di Terlizzi, M. Gironella, D. Herraez-Aguilar +4
Entropy production is the hallmark of nonequilibrium physics, quantifying irreversibility, dissipation, and the efficiency of energy transduction processes. Despite many efforts, i…
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…