most citedMotion correction in MRI using deep learning and a novel hybrid loss function

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

collaborators

2 papers

eess.IV2022★ 3 cited

Motion correction in MRI using deep learning and a novel hybrid loss function

Lei Zhang, Xiaoke Wang, Michael Rawson +6

Purpose To develop and evaluate a deep learning-based method (MC-Net) to suppress motion artifacts in brain magnetic resonance imaging (MRI). Methods MC-Net was derived from a UNet…

cs.CV2021

Adaptive Convolutions with Per-pixel Dynamic Filter Atom

Ze Wang, Zichen Miao, Jun Hu +1

Applying feature dependent network weights have been proved to be effective in many fields. However, in practice, restricted by the enormous size of model parameters and memory foo…