Yafeng Zhao

Attention-Embedded Decomposed Network with Unpaired CT Images Prior for Metal Artifact Reduction

Recently, unsupervised learning is proposed to avoid the performance degrading caused by synthesized paired computed tomography (CT) images. However, existing unsupervised methods for metal artifact reduction (MAR) only use features in image space, which is not enough to restore regions heavily corr…