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For: Luo J, Wang S, Li W, Zhu Y. Removal of truncation artefacts in magnetic resonance images by recovering missing spectral data. J Magn Reson 2012;224:82-93. [PMID: 23063801 DOI: 10.1016/j.jmr.2012.08.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2011] [Revised: 08/14/2012] [Accepted: 08/16/2012] [Indexed: 06/01/2023]
Number Cited by Other Article(s)
1
Zhang Q, Ruan G, Yang W, Liu Y, Zhao K, Feng Q, Chen W, Wu EX, Feng Y. MRI Gibbs‐ringing artifact reduction by means of machine learning using convolutional neural networks. Magn Reson Med 2019;82:2133-2145. [DOI: 10.1002/mrm.27894] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 06/11/2019] [Accepted: 06/14/2019] [Indexed: 12/27/2022]
2
Jang H, Subramanian S, Devasahayam N, Saito K, Matsumoto S, Krishna MC, McMillan AB. Single acquisition quantitative single-point electron paramagnetic resonance imaging. Magn Reson Med 2013;70:1173-81. [PMID: 23913515 DOI: 10.1002/mrm.24886] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Revised: 06/13/2013] [Accepted: 06/24/2013] [Indexed: 11/06/2022]
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