Self-supervised learning for mri reconstruction with a parallel network training framework

C Hu, C Li, H Wang, Q Liu, H Zheng… - Medical Image Computing …, 2021 - Springer
Image reconstruction from undersampled k-space data plays an important role in
accelerating the acquisition of MR data, and a lot of deep learning-based methods have …
被引用次数：41 相关文章

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

C Hu, C Li, H Wang, Q Liu, H Zheng… - arXiv preprint arXiv …, 2021 - arxiv.org
Image reconstruction from undersampled k-space data plays an important role in
accelerating the acquisition of MR data, and a lot of deep learning-based methods have …

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

C Hu, C Li, H Wang, Q Liu, H Zheng, S Wang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Image reconstruction from undersampled k-space data plays an important role in
accelerating the acquisition of MR data, and a lot of deep learning-based methods have …
[PDF] researchgate.net

[PDF][PDF] Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

C Hu, C Li, H Wang, Q Liu, H Zheng… - arXiv preprint arXiv …, 2021 - researchgate.net
Image reconstruction from undersampled k-space data plays an important role in
accelerating the acquisition of MR data, and a lot of deep learning-based methods have …

Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

C Hu, C Li, H Wang, Q Liu, H Zheng… - … Conference on Medical …, 2021 - dl.acm.org
Image reconstruction from undersampled k-space data plays an important role in
accelerating the acquisition of MR data, and a lot of deep learning-based methods have …