most citedPerformance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2021★ 8 cited

Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction

Hao Li, Jianan Liu, Marianne Schell +8

Shortening acquisition time and reducing motion artifacts are the most critical challenges in magnetic resonance imaging (MRI). Deep learning-based image restoration has emerged as…