Author:
Liu Jingshuai,Qin Chen,Yaghoobi Mehrdad
Publisher
Springer Nature Switzerland
Reference33 articles.
1. Aggarwal, H., Mani, M., Jacob, M.: MoDL: model-based deep learning architecture for inverse problems. IEEE Trans. Med. Imaging 38(2), 394–405 (2019). https://doi.org/10.1109/TMI.2018.2865356
2. Bińkowski, M., Sutherland, D., Arbel, M., Gretton, A.: Demystifying MMD GANs. In: International Conference on Learning Representations (2018)
3. Lecture Notes in Computer Science;S Chen,2020
4. Deora, P., Vasudeva, B., Bhattacharya, S., Pradhan, P.M.: Structure preserving compressive sensing MRI reconstruction using generative adversarial networks. In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2020)
5. Duan, J., et al.: VS-Net: variable splitting network for accelerated parallel MRI reconstruction. In: Medical Image Computing and Computer Assisted Intervention, vol. 11767, pp. 713–722. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-32251-9_78
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