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Zeitschrift Fur Medizinische Physik|September 5, 2022
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sourcesXuanyu Zhu, Yang Gao, Feng Liu, et al.
Physics in Medicine and Biology|August 30, 2008
Two hybrid regularization frameworks for solving the electrocardiography inverse problemMingfeng Jiang, Ling Xia, Guofa Shou, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
A new approach for magnetic resonance RF head coil designBing Keong Li, Bin Xu, Hon Tat Hui, et al.
Physics in Medicine and Biology|September 8, 2011
Compressed sensing MRI with singular value decomposition-based sparsity basisMingjian Hong, Yeyang Yu, Hua Wang, et al.
Physics in Medicine and Biology|April 9, 2005
Analysis of cardiac ventricular wall motion based on a three-dimensional electromechanical biventricular modelLing Xia, Meimei Huo, Qing Wei, et al.
Zeitschrift Fur Medizinische Physik|July 27, 2021
Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learningXuanyu Zhu, Yang Gao, Feng Liu, et al.
Medical Physics|April 6, 2017
A numerical study of the acoustic radiation due to eddy current-cryostat interactionsYaohui Wang, Feng Liu, Xiaorong Zhou, et al.
Plos One|August 17, 2017
Magnetic Lenz lenses improve the limit-of-detection in nuclear magnetic resonanceNils Spengler, Peter T While, Markus V Meissner, et al.
NMR in Biomedicine|May 11, 2021
Optimizing multicontrast MRI reconstruction with shareable feature aggregation and selectionXinwen Liu, Jing Wang, Suzhen Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A comparison study of different RF shields for an 8-element transceive small animal array at 9.4TJin Jin, Yu Li, Feng Liu, et al.
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