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20192024
most citedInDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images

79 citations · 231 across the 15 of their papers we have counts for

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8 papers · 1 filter

eess.IV2023

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

Hong Wang, Minghao Zhou, Dong Wei +2

Sparse-view computed tomography (CT) has been adopted as an important technique for speeding up data acquisition and decreasing radiation dose. However, due to the lack of sufficie…

eess.IV2022★ 15 cited

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

Hong Wang, Qi Xie, Yuexiang Li +3

During X-ray computed tomography (CT) scanning, metallic implants carrying with patients often lead to adverse artifacts in the captured CT images and then impair the clinical trea…

eess.IV2022★ 46 cited

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

Hong Wang, Yuexiang Li, Deyu Meng +1

Inspired by the great success of deep neural networks, learning-based methods have gained promising performances for metal artifact reduction (MAR) in computed tomography (CT) imag…

eess.IV2021★ 79 cited

InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images

Hong Wang, Yuexiang Li, Haimiao Zhang +2

During the computed tomography (CT) imaging process, metallic implants within patients often cause harmful artifacts, which adversely degrade the visual quality of reconstructed CT…

eess.IV2021★ 3 cited

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

Hong Wang, Yuexiang Li, Haimiao Zhang +4

For the task of metal artifact reduction (MAR), although deep learning (DL)-based methods have achieved promising performances, most of them suffer from two problems: 1) the CT ima…

eess.IV2021★ 10 cited

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

Hong Wang, Qi Xie, Qian Zhao +4

As a common weather, rain streaks adversely degrade the image quality. Hence, removing rains from an image has become an important issue in the field. To handle such an ill-posed s…

eess.IV2020★ 4 cited

Structural Residual Learning for Single Image Rain Removal

Hong Wang, Yichen Wu, Qi Xie +3

To alleviate the adverse effect of rain streaks in image processing tasks, CNN-based single image rain removal methods have been recently proposed. However, the performance of thes…

eess.IV2019★ 71 cited

A Survey on Rain Removal from Video and Single Image

Hong Wang, Yichen Wu, Minghan Li +2

Rain streaks might severely degenerate the performance of video/image processing tasks. The investigations on rain removal from video or a single image has thus been attracting muc…