4 papers
PSIRNet: Deep Learning-based Free-breathing Rapid Acquisition Late Enhancement Imaging
Arda Atalik, Hui Xue, Rhodri H. Davies +4
Purpose: To develop and evaluate a deep learning (DL) method for free-breathing phase-sensitive inversion recovery (PSIR) late gadolinium enhancement (LGE) cardiac MRI that produce…
Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation
Yidong Zhao, Peter Kellman, Hui Xue +5
Pretrained segmentation models for cardiac magnetic resonance imaging (MRI) struggle to generalize across different imaging sequences due to significant variations in image contras…
Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR << 1 Imaging
Hui Xue, Sarah M. Hooper, Rhodri H. Davies +9
Purpose: To propose a flexible and scalable imaging transformer (IT) architecture with three attention modules for multi-dimensional imaging data and apply it to MRI denoising with…
SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
Hui Xue, Sarah M. Hooper, Iain Pierce +9
To develop and evaluate a new deep learning MR denoising method that leverages quantitative noise distribution information from the reconstruction process to improve denoising perf…