most citedTransfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction

3 citations · 3 across the 1 of their papers we have counts for

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eess.IV2023

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

Zi Wang, Xiaotong Yu, Chengyan Wang +25

Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses.…

eess.IV2021★ 3 cited

Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction

Jun Lv, Guangyuan Li, Xiangrong Tong +4

Deep learning based generative adversarial networks (GAN) can effectively perform image reconstruction with under-sampled MR data. In general, a large number of training samples ar…