Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps

Tian-Yi Xing, Xiao-Xin Li, Zhi-jie Chen, Xi-Yu Zheng, Fan Zhang. Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps. In Mukul S. Bansal, Zhipeng Cai 0001, Serghei Mangul, editors, Bioinformatics Research and Applications - 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, Proceedings. Volume 13760 of Lecture Notes in Computer Science, pages 30-40, Springer, 2022. [doi]

@inproceedings{XingLCZZ22,
  title = {Effectively Training MRI Reconstruction Network via Sequentially Using Undersampled k-Space Data with Very Low Frequency Gaps},
  author = {Tian-Yi Xing and Xiao-Xin Li and Zhi-jie Chen and Xi-Yu Zheng and Fan Zhang},
  year = {2022},
  doi = {10.1007/978-3-031-23198-8_4},
  url = {https://doi.org/10.1007/978-3-031-23198-8_4},
  researchr = {https://researchr.org/publication/XingLCZZ22},
  cites = {0},
  citedby = {0},
  pages = {30-40},
  booktitle = {Bioinformatics Research and Applications - 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14-17, 2022, Proceedings},
  editor = {Mukul S. Bansal and Zhipeng Cai 0001 and Serghei Mangul},
  volume = {13760},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-23198-8},
}