activity
20182025
most citedResults of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

313 citations · 354 across the 23 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

eess.IV2019★ 13 cited

i-RIM applied to the fastMRI challenge

Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen +4

We, team AImsterdam, summarize our submission to the fastMRI challenge (Zbontar et al., 2018). Our approach builds on recent advances in invertible learning to infer models as pres…

eess.IV2019★ 1 cited

Learned SIRT for Cone Beam Computed Tomography Reconstruction

Roeland J. Dilz, Lukas Schröder, Nikita Moriakov +2

We introduce the learned simultaneous iterative reconstruction technique (SIRT) for tomographic reconstruction. The learned SIRT algorithm is a deep learning based reconstruction m…