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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts

Han Cui, Alfredo De Goyeneche, Efrat Shimron +2

Image Quality Assessment (IQA) is essential in various Computer Vision tasks such as image deblurring and super-resolution. However, most IQA methods require reference images, whic…

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…