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| 1 |
A Comparative Study of Unsupervised Deep Learning Methods for MRI Reconstruction
He, Zhuonan;Quan, Cong;Wang, Siyuan;Zhu, Yuanzheng;Zhang, Minghui;Zhu, Yanjie;Liu, Qiegen;
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Korean Society of Magnetic Resonance in Medicine
, v.24, no.4, pp.179-195,
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| 2 |
Deep Learning in MR Motion Correction: a Brief Review and a New Motion Simulation Tool (view2Dmotion)
Lee, Seul;Jung, Soozy;Jung, Kyu-Jin;Kim, Dong-Hyun;
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Korean Society of Magnetic Resonance in Medicine
, v.24, no.4, pp.196-206,
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| 3 |
Exploring Generalization Capacity of Artificial Neural Network for Myelin Water Imaging
Lee, Jieun;Choi, Joon Yul;Shin, Dongmyung;Kim, Eung Yeop;Oh, Se-Hong;Lee, Jongho;
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Korean Society of Magnetic Resonance in Medicine
, v.24, no.4, pp.207-213,
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| 4 |
Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-Enhanced Loss Constraint
Ke, Ziwen;Zhu, Yanjie;Liang, Dong;
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Korean Society of Magnetic Resonance in Medicine
, v.24, no.4, pp.214-222,
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| 5 |
Unsupervised Deformable Image Registration Using Polyphase UNet for 3D Brain MRI Volumes
Martin, Antoinette D.;Kim, Boah;Ye, Jong Chul;
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Korean Society of Magnetic Resonance in Medicine
, v.24, no.4, pp.223-231,
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| 6 |
A Self-Supervised Learning Framework for Under-Sampling Pattern Design Using Graph Convolution Network
Li, Yuze;Chen, Huijun;
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Korean Society of Magnetic Resonance in Medicine
, v.24, no.4, pp.232-240,
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| 7 |
qMTNet+, an Improved qMTNet with Residual Connection for Accelerated Quantitative Magnetization Transfer Imaging
Luu, Huan Minh;Kim, Dong-Hyun;Choi, Seung-Hong;Park, Sung-Hong;
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Korean Society of Magnetic Resonance in Medicine
, v.24, no.4, pp.241-251,
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