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Cited by in CrossRef
For: Szklaruk J, Son JB, Wei W, Bhosale P, Javadi S, Ma J. Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging. World J Radiol 2019; 11(11): 134-143 [PMID: 31798795 DOI: 10.4329/wjr.v11.i11.134]
URL: https://www.wjgnet.com/1948-5182/full/v11/i11/134.htm
Number Citing Articles
1
Respiratory triggered diffusion-weighted imaging with a single diffusion sensitising gradient to reduce image acquisition time – A feasibility study in the workup of hepatocellular carcinomaEuropean Journal of Radiology 2021; 141: 109807 doi: 10.1016/j.ejrad.2021.109807
2
Mareen Sarah Kraus, Ailish C. Coblentz, Vibhas S. Deshpande, Johannes M. Peeters, Pedro M. Itriago-Leon, Govind B. Chavhan. State-of-the-art magnetic resonance imaging sequences for pediatric body imagingPediatric Radiology 2022; 53(7): 1285 doi: 10.1007/s00247-022-05528-y
3
Diego Hernando, Yuxin Zhang, Ali Pirasteh. Quantitative diffusion MRI of the abdomen and pelvisMedical Physics 2022; 49(4): 2774 doi: 10.1002/mp.15246
4
Je Seung Son, Hee Sun Park, Sungeun Park, Young Jun Kim, Mi Hye Yu, Sung Il Jung, Munyoung Paek, Marcel Dominik Nickel. Motion-Corrected versus Conventional Diffusion-Weighted Magnetic Resonance Imaging of the Liver Using Non-Rigid RegistrationDiagnostics 2023; 13(6): 1008 doi: 10.3390/diagnostics13061008
5
Sung Hwan Bae, Jiyoung Hwang, Seong Sook Hong, Eun Ji Lee, Jewon Jeong, Thomas Benkert, JaeKon Sung, Simon Arberet. Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imagingEuropean Journal of Radiology 2022; 154: 110428 doi: 10.1016/j.ejrad.2022.110428
6
Omar Kamal, Ethan Sy, Victoria Chernyak, Ayushi Gupta, Vahid Yaghmai, Kathryn Fowler, Dimitrios Karampinos, Krishna Shanbhogue, Frank H. Miller, Avinash Kambadakone, Alice Fung. Optional MRI sequences for LI-RADS: why, what, and how?Abdominal Radiology 2022; 48(2): 519 doi: 10.1007/s00261-022-03726-8
7
Weiguo Li. Non-Gaussian Diffusion MRI for Evaluating Hepatic FibrosisAcademic Radiology 2022; 29(7): 964 doi: 10.1016/j.acra.2022.04.020
8
Solveig Kärk Abildtrup Larsen, Kim Sivesgaard, Erik Morre Pedersen. Multi-band whole-body diffusion-weighted imaging with inversion recovery fat saturation: Effects of respiratory compensationEuropean Journal of Radiology Open 2021; 8: 100374 doi: 10.1016/j.ejro.2021.100374
9
Dong Hwan Kim, Bohyun Kim, Hyun-Soo Lee, Thomas Benkert, Hokun Kim, Joon-Il Choi, Soon Nam Oh, Sung Eun Rha. Deep Learning–Accelerated Liver Diffusion-Weighted ImagingInvestigative Radiology 2023; 58(11): 782 doi: 10.1097/RLI.0000000000000988
10
Martin Loh, Tobit Führes, Christoph Stuprich, Michael Uder, Marc Saake, Frederik Bernd Laun. Influence of saturation effects on biexponential liver intravoxel incoherent motionMagnetic Resonance in Medicine 2023; 90(1): 270 doi: 10.1002/mrm.29622
11
Ke Zhang, Simon M.F. Triphan, Felix T. Kurz, Christian H. Ziener, Hans-Ulrich Kauczor, Heinz-Peter Schlemmer, Oliver Sedlaczek. Navigator-based slice tracking for prospective motion correction in kidney vessel architecture imagingMagnetic Resonance Imaging 2023; 98: 26 doi: 10.1016/j.mri.2023.01.001