Name
Title | ||
|---|---|---|
An improved deep network for tissue microstructure estimation with uncertainty quantification. |
Abstract | ||
|---|---|---|
•We have proposed an improved deep network for tissue microstructure estimation.•We exploit signal sparsity in the spatial-angular domain with a separable dictionary.•Quantification of estimation uncertainty is also developed using Lasso bootstrap.•The proposed method outperforms competing methods in terms of estimation accuracy.•The proposed method also produces reasonable uncertainty quantification results. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.media.2020.101650 | Medical Image Analysis |
Keywords | DocType | Volume |
Tissue microstructure,Deep network,Separable dictionary,Uncertainty quantification | Journal | 61 |
ISSN | Citations | PageRank |
1361-8415 | 1 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chuyang Ye | 1 | 61 | 11.12 |
| Yuxing Li | 2 | 12 | 2.89 |
| Xiangzhu Zeng | 3 | 13 | 4.24 |