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

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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…

eess.IV2024

Inline AI: Open-source Deep Learning Inference for Cardiac MR

Hui Xue, Rhodri H Davies, James Howard +8

Cardiac Magnetic Resonance (CMR) is established as a non-invasive imaging technique for evaluation of heart function, anatomy, and myocardial tissue characterization. Quantitative…

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…