4 citations · 6 across the 4 of their papers we have counts for
4 papers
Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI
Florian Fürnrohr, Reinhard Heckel
Real-time cardiac cine MRI enables visualization of the beating heart during free breathing, but severe undersampling and motion make reconstruction highly challenging. A central c…
A magnetic environment with reproducible spatio-temporal magnetic conditions at picotesla level
Philipp Wunderl, Maximilian Huber, Florian Büttiker +16
Walk-in, picotesla-scale environments are essential for measurements of biomagnetism and fundamental physics. However, conventional rooms require typical active dynamic compensatio…
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
Kang Lin, Reinhard Heckel
Deep learning based methods for image reconstruction are state-of-the-art for a variety of imaging tasks. However, neural networks often perform worse if the training data differs…
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography
Simon Wiedemann, Reinhard Heckel
Cryogenic electron tomography is a technique for imaging biological samples in 3D. A microscope collects a series of 2D projections of the sample, and the goal is to reconstruct th…