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Cited by in F6Publishing
For: Bush AM, Sandino CM, Ramachandran S, Ong F, Dwork N, Zucker EJ, Syed AB, Pauly JM, Alley MT, Vasanawala SS. Rosette Trajectories Enable Ungated, Motion-Robust, Simultaneous Cardiac and Liver T2 * Iron Assessment. J Magn Reson Imaging 2020;52:1688-98. [PMID: 32452088 DOI: 10.1002/jmri.27196] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Wang Z, She H, Zhang Y, Du YP. Parallel non-Cartesian Spatial-Temporal Dictionary Learning Neural Networks (stDLNN) for Accelerating 4D-MRI. Medical Image Analysis 2022. [DOI: 10.1016/j.media.2022.102701] [Reference Citation Analysis]
2 Liu Y, Hamilton J, Jiang Y, Seiberlich N. Cardiac MRF using rosette trajectories for simultaneous myocardial T1, T2, and proton density fat fraction mapping. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.977603] [Reference Citation Analysis]
3 Liu JY, Cai YY, Ding ZY, Zhou ZY, Lv M, Liu H, Zheng LY, Li L, Luo YH, Xiao EH. Characterizing Fibrosis and Inflammation in a Partial Bile Duct Ligation Mouse Model by Multiparametric Magnetic Resonance Imaging. J Magn Reson Imaging 2021. [PMID: 34545977 DOI: 10.1002/jmri.27925] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
4 Xu W, Yang X, Liu K, Tian Q, Xu J. Rosette Trajectories for Fast MRI Based on an Adaptive Reconstruction Method. IEEE Access 2021;9:35164-35177. [DOI: 10.1109/access.2021.3062020] [Reference Citation Analysis]