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Cited by in F6Publishing
For: Liu F. Improving Quantitative Magnetic Resonance Imaging Using Deep Learning. Semin Musculoskelet Radiol 2020;24:451-9. [PMID: 32992372 DOI: 10.1055/s-0040-1709482] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
Number Citing Articles
1 Kadar M, Botnari A. Challenges in Deep Learning Applied to the Knee Joint Magnetic Resonance Imaging: A Survey. Proceedings of Seventh International Congress on Information and Communication Technology 2023. [DOI: 10.1007/978-981-19-2397-5_42] [Reference Citation Analysis]
2 Shpringer G, Bendahan D, Ben-Eliezer N. Accelerated reconstruction of dictionary-based T2 relaxation maps based on dictionary compression and gradient descent search algorithms. Magn Reson Imaging 2021;87:56-66. [PMID: 34973389 DOI: 10.1016/j.mri.2021.12.006] [Reference Citation Analysis]
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