Name
Title | ||
|---|---|---|
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network. |
Abstract | ||
|---|---|---|
Our proposed MCDnCNN model has been demonstrated to robustly denoise three dimensional MR images with Rician noise. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11604-018-0758-8 | Japanese journal of radiology |
Keywords | Field | DocType |
CNN,Deep learning,Denoising,MRI,Rician noise | Noise reduction,Residual,Pattern recognition,Rician noise,Convolutional neural network,Multi channel,Artificial intelligence,Radiology,Deep learning,Medicine,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
abs/1712.08726 | 9 | 1867-1071 |
Citations | PageRank | References |
7 | 0.47 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongsheng Jiang | 1 | 7 | 0.47 |
| Weiqiang Dou | 2 | 7 | 0.47 |
| Luc P. J. Vosters | 3 | 7 | 0.81 |
| Xiayu Xu | 4 | 7 | 0.47 |
| Yue Sun | 5 | 7 | 0.81 |
| Tao Tan | 6 | 46 | 10.25 |