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20172025
most citedSpatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data

87 citations · 196 across the 12 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

eess.IV2020

Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI

Andreas Kofler, Marc Dewey, Tobias Schaeffter +2

In this work, we propose an iterative reconstruction scheme (ALONE - Adaptive Learning Of NEtworks) for 2D radial cine MRI based on ground truth-free unsupervised learning of shall…

eess.IV2020★ 38 cited

Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction

Andreas Kofler, Markus Haltmeier, Tobias Schaeffter +4

In this paper we present a generalized Deep Learning-based approach for solving ill-posed large-scale inverse problems occuring in medical image reconstruction. Recently, Deep Lear…