Name
Title | ||
|---|---|---|
Neuroimaging-based diagnosis of Parkinson's disease with deep neural mapping large margin distribution machine. |
Abstract | ||
|---|---|---|
•A deep neural mapping large margin distribution machine (DNMLDM) is proposed for classification.•DNMLDM is then applied for the classification of Parkinson's disease with neuroimaging data.•DNMLDM achieves the superior performance to the commonly used classifiers. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.neucom.2018.09.025 | Neurocomputing |
Keywords | Field | DocType |
Parkinson's disease,Deep neural network,Deep neural mapping large margin distribution machine,Kernel mapping,Transcranial sonography,Magnetic resonance imaging | Kernel (linear algebra),CAD,Parkinson's disease,Margin distribution,Pattern recognition,Artificial intelligence,Neuroimaging,Classifier (linguistics),Artificial neural network,Machine learning,Mathematics,Kernel (statistics) | Journal |
Volume | ISSN | Citations |
320 | 0925-2312 | 1 |
PageRank | References | Authors |
0.35 | 15 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bangming Gong | 1 | 2 | 0.71 |
| Jun Shi | 2 | 233 | 30.77 |
| Shihui Ying | 3 | 233 | 23.32 |
| Yakang Dai | 4 | 121 | 18.37 |
| Qi Zhang | 5 | 103 | 11.72 |
| Yun Dong | 6 | 3 | 2.06 |
| Hedi An | 7 | 2 | 1.73 |
| Yingchun Zhang | 8 | 2 | 0.74 |