3 papers
eess.IV2025
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…
physics.med-ph2025
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…
cs.CV2024
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
Sarah M. Hooper, Hui Xue
Biomedical imaging modalities often produce high-resolution, multi-dimensional images that pose computational challenges for deep neural networks. These computational challenges ar…