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most citedHigh Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss

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eess.IV2021★ 1 cited

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss

Ke Wang, Jonathan I Tamir, Alfredo De Goyeneche +4

Purpose: To improve reconstruction fidelity of fine structures and textures in deep learning (DL) based reconstructions. Methods: A novel patch-based Unsupervised Feature Loss (UFL…