most citedAssessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction

14 citations · 14 across the 2 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.IV2020

Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine

Dimitrios Karkalousos, Kai Lønning, Hanneke E. Hulst +4

Objective: To allow efficient learning using the Recurrent Inference Machine (RIM) for image reconstruction whereas not being strictly dependent on the training data distribution s…