[MRI] 2. Recent Research on MR Image Reconstruction Using Artificial Intelligence

Author:

Takeshima Hidenori1

Affiliation:

1. Imaging Modality Group, Advanced Technology Research Department, Research and Development Center, Canon Medical Systems Corporation

Publisher

Japanese Society of Radiological Technology

Subject

General Medicine

Reference57 articles.

1. 1) LeCun Y, Bengio Y, Hinton G. Deep learning. Nature 2015; 521(7553): 436–444.

2. 2) Takeshima H. Deep learning and its application to function approximation for MR in medicine: an overview. Magn Reson Med Sci 2022; 21(4): 553–568.

3. 3) 竹島秀則.深層学習を用いたMRIの画質改善技術.Med Imag Tech 2022; 40(2): 59–66.

4. 4) LeCun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition. Proc IEEE 1998; 86(11): 2278–2324.

5. 5) Glorot X, Bordes A, Bengio Y, et al. Deep sparse rectifier neural networks. Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, 2011; 315–323.

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