2 citations · 2 across the 3 of their papers we have counts for
3 papers
physics.med-ph2026
High-resolution ultra-low-field MRI with SNRAware denoising
Teresa Guallart-Naval, Hui Xue, José M. Algarín +8
Ultra-low-field (ULF, <0.1 T) magnetic resonance imaging (MRI) systems offer advantages in cost, portability, and accessibility, but their current utility is still limited by low s…
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…
eess.IV2024★ 2 cited
Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imaging
Zheren Zhu, Azaan Rehman, Xiaozhi Cao +5
Recent developments in low-field (LF) magnetic resonance imaging (MRI) systems present remarkable opportunities for affordable and widespread MRI access. A robust denoising method…