most citedAdvancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imaging

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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…

eess.IV2024★ 1 cited

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy

Hui Xue, Sarah Hooper, Azaan Rehman +11

The ability to recover MRI signal from noise is key to achieve fast acquisition, accurate quantification, and high image quality. Past work has shown convolutional neural networks…