Name
Title | ||
|---|---|---|
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images |
Abstract | ||
|---|---|---|
Computed tomography (CT) images are often impaired by unfavorable artifacts caused by metallic implants within patients, which would adversely affect the subsequent clinical diagnosis and treatment. Although the existing deep-learning-based approaches have achieved promising success on metal artifact reduction (MAR) for CT images, most of them treated the task as a general image restoration proble... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMI.2021.3127074 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Computed tomography,Metals,Task analysis,Dictionaries,Mars,Optimization,Image reconstruction | Journal | 41 |
Issue | ISSN | Citations |
4 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. Wang | 1 | 18 | 9.34 |
| Yuexiang Li | 2 | 83 | 11.51 |
| Nanjun He | 3 | 0 | 1.35 |
| Kai Ma | 4 | 49 | 18.48 |
| Deyu Meng | 5 | 2025 | 105.31 |
| Yefeng Zheng | 6 | 1391 | 114.67 |