activity
20202025
most citedMulti-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

13 citations · 26 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

eess.IV2021★ 4 cited

Over-and-Under Complete Convolutional RNN for MRI Reconstruction

Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang +3

Reconstructing magnetic resonance (MR) images from undersampled data is a challenging problem due to various artifacts introduced by the under-sampling operation. Recent deep learn…

eess.IV2021★ 13 cited

Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

Pengfei Guo, Puyang Wang, Jinyuan Zhou +2

Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep learning-based methods…