Name
Title | ||
|---|---|---|
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis |
Abstract | ||
|---|---|---|
•An new multi-task learning framework is devised for differential diagnosis of subjective cognitive decline and mild cognive impairment.•The proposed multi-task learning algorithm combines functional and structural brain information.•The proposed method can discover the most disease-related brain regions and their connectivity.•The extensive experiments demonstrate good classification performance against competing techniques. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2021.102248 | Medical Image Analysis |
Keywords | DocType | Volume |
Subjective cognitive decline,Feature selection,Multi-modal,Classification,Multi-task learning | Journal | 74 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 15 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baiying Lei | 1 | 271 | 34.50 |
| Nina Cheng | 2 | 2 | 1.38 |
| Alejandro F. Frangi | 3 | 4333 | 309.21 |
| Yichen Wei | 4 | 2074 | 67.87 |
| Bihan Yu | 5 | 1 | 0.69 |
| Lingyan Liang | 6 | 0 | 0.34 |
| Wei Mai | 7 | 1 | 0.69 |
| Gaoxiong Duan | 8 | 1 | 0.69 |
| Xiucheng Nong | 9 | 1 | 0.69 |
| Chong Li | 10 | 1 | 0.69 |
| Jiahui Su | 11 | 0 | 0.34 |
| Tianfu Wang | 12 | 382 | 55.46 |
| Lihua Zhao | 13 | 1 | 0.69 |
| Demao Deng | 14 | 1 | 0.69 |
| Zhiguo Zhang | 15 | 102 | 24.92 |