Name
Title | ||
|---|---|---|
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. |
Abstract | ||
|---|---|---|
•Learn an intrinsic data representation for optimal classification.•Flexible to integrate with multi-model imaging data.•Progressive graph-based transductive learning for classification of neurodegenerative disease.•Our proposed transductive learning framework is more efficient than supervised learning approaches to deal with issues such as small sample size and large data heterogeneity. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.media.2017.05.003 | Medical Image Analysis |
Keywords | Field | DocType |
Graph-based transductive learning (GTL),Multi-modality,Intrinsic representation,Computer-assisted diagnosis | Voxel,Transduction (machine learning),Graph,Data set,External Data Representation,Pattern recognition,Computer science,Outlier,Artificial intelligence,Test data,Modal,Machine learning | Journal |
Volume | ISSN | Citations |
39 | 1361-8415 | 4 |
PageRank | References | Authors |
0.41 | 30 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengxia Wang | 1 | 72 | 8.40 |
| Xiaofeng Zhu | 2 | 1960 | 81.85 |
| Ehsan Adeli Mosabbeb | 3 | 261 | 39.27 |
| Yingying Zhu | 4 | 10 | 2.51 |
| Feiping Nie | 5 | 7061 | 309.42 |
| Brent C. Munsell | 6 | 153 | 9.34 |
| Guorong Wu | 7 | 721 | 62.83 |