activity
20242026
most citedImage Reconstruction with B0 Inhomogeneity using an Interpretable Deep Unrolled Network on an Open-bore MRI-Linac

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

physics.med-ph2024

Accelerating Low-field MRI: From Compressed Sensing to Deep Learning Reconstruction with CNNs and Transformers

Efrat Shimron, Shanshan Shan, James Grover +7

Portable, low-field Magnetic Resonance Imaging (MRI) scanners are increasingly being deployed in clinical settings. However, key barriers to their widespread use include low signal…

physics.med-ph2024★ 1 cited

Image Reconstruction with B0 Inhomogeneity using an Interpretable Deep Unrolled Network on an Open-bore MRI-Linac

Shanshan Shan, Yang Gao, David E. J. Waddington +8

MRI-Linac systems require fast image reconstruction with high geometric fidelity to localize and track tumours for radiotherapy treatments. However, B0 field inhomogeneity distorti…