22 citations · 63 across the 8 of their papers we have counts for
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eess.IV2021★ 14 cited
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
D. Karkalousos, S. Noteboom, H. E. Hulst +2
Machine Learning methods can learn how to reconstruct Magnetic Resonance Images and thereby accelerate acquisition, which is of paramount importance to the clinical workflow. Physi…
eess.IV2021
Recurrent Inference Machines as inverse problem solvers for MR relaxometry
E. R. Sabidussi, S. Klein, M. W. A. Caan +5
In this paper, we propose the use of Recurrent Inference Machines (RIMs) to perform T1 and T2 mapping. The RIM is a neural network framework that learns an iterative inference proc…