84 citations · 155 across the 7 of their papers we have counts for
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eess.IV2020★ 19 cited
Fast and Accurate Modeling of Transient-State Gradient-Spoiled Sequences by Recurrent Neural Networks
Hongyan Liu, Oscar van der Heide, Cornelis A. T. van den Berg +1
Fast and accurate modeling of MR signal responses are typically required for various quantitative MRI applications, such as MR Fingerprinting and MR-STAT. This work uses a new EPG-…
physics.med-ph2020★ 24 cited
Technical feasibility of Magnetic Resonance Fingerprinting on a 1.5T MRI-Linac
T. Bruijnen, O. van der Heide, M. P. W. Intven +4
Hybrid MRI-linac (MRL) systems enable daily multiparametric quantitative MRI to assess tumor response to radiotherapy. Magnetic Resonance Fingerprinting (MRF) may provide time effi…