most citedInvestigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2021★ 4 cited

Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods

Muge Du, Kaichao Liang, Yinong Liu +1

Metal artefacts in CT images may disrupt image quality and interfere with diagnosis. Recently many deep-learning-based CT metal artefact reduction (MAR) methods have been proposed.…