Name
Title | ||
|---|---|---|
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. |
Abstract | ||
|---|---|---|
•A network estimation method can automatically calibrate data quality and integrate modula prior.•A multi-task feature learning method is developed using multi-modal data.•A joint non-convex regularizer is designed for subspace learning.•Our method has achieved good automatic diagnosis and classification performance. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.media.2020.101652 | Medical Image Analysis |
Keywords | DocType | Volume |
Early stage of Alzheimer's disease (AD),Brain network estimation,Self-calibration,Multi-modal classification,Joint non-convex multi-task learning | Journal | 61 |
ISSN | Citations | PageRank |
1361-8415 | 2 | 0.37 |
References | Authors | |
17 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bai Ying Lei | 1 | 119 | 24.99 |
| Nina Cheng | 2 | 2 | 1.38 |
| Alejandro F. Frangi | 3 | 4333 | 309.21 |
| Ee-Leng Tan | 4 | 162 | 17.96 |
| Jiuwen Cao | 5 | 178 | 18.99 |
| Peng Yang | 6 | 85 | 20.75 |
| Ahmed Elazab | 7 | 51 | 7.28 |
| Jie Du | 8 | 10 | 3.97 |
| Yanwu Xu | 9 | 56 | 6.59 |
| Tianfu Wang | 10 | 382 | 55.46 |