VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction-Reference-Cited by-同舟云学术

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VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction

Published:2019 Issue: Volume: Page:713-722
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Duan Jinming,Schlemper Jo,Qin Chen,Ouyang Cheng,Bai Wenjia,Biffi Carlo,Bello Ghalib,Statton Ben,O’Regan Declan P.,Rueckert Daniel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32251-9_78

Reference17 articles.

1. Schlemper, J., et al.: A deep cascade of convolutional neural networks for dynamic MR image reconstruction. IEEE Trans. Med. Imag. 37(2), 491–503 (2018)

2. Yan, Y., et al.: Deep ADMM-Net for compressive sensing MRI. In: NIPS, pp. 10–18 (2016)

3. Hammernik, K., et al.: Learning a variational network for reconstruction of accelerated MRI data. Magn. Reson. Med. 79(6), 3055–3071 (2018)

4. Aggarwal, H.K., et al.: MoDL: model-based deep learning architecture for inverse problems. IEEE Trans. Med. Imag. 38(2), 394–405 (2019)

5. Han, Y., et al.: k-space deep learning for accelerated MRI. arXiv:1805.03779 (2018)

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