Apr 28, 2023 � In this paper, we present a novel Dual-Domain Cross-Iteration Squeeze and Excitation Network (DD-CISENet) for accelerated sparse MRI reconstruction.

Abstract. Magnetic resonance imaging (MRI) is widely employed for diagnostic tests in neurology. However, the utility of MRI is largely limited by its long�...

In this paper, we present a novel Dual-Domain Cross-Iteration Squeeze and Excitation Network (DD-CISENet) for accelerated sparse MRI reconstruction. The�...

Oct 5, 2022 � Results showed that the average reconstruction error over 120 testing cases by our proposed method was 2.28%, which outperformed the existing�...

In this paper, we present a novel Dual-Domain Cross-Iteration Squeeze and Excitation Network (DD-CISENet) for accelerated sparse MRI�...

Oct 5, 2022 � This study included 720 clinical multi-coil brain MRI cases adopted from the open-source deidentified fastMRI Dataset. 8-folder downsampling�...

Apr 24, 2023 � Review: The authors present a joint image-space and k-space (recurrent) processing network for accelerated MR image reconstruction,�...

DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction. no code yet • 28 Apr 2023. Magnetic resonance�...

DD-CISENet: dual-domain cross-iteration squeeze and excitation network for accelerated MRI reconstruction. X Chen, Z Peng, GH Valadez. arXiv preprint arXiv:�...

Jun 28, 2024 � DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction. 1:11 PM � Jun 28, 2024. �. 7. Views.