Multiscale multimodal graph convolutional networks for identifying essential tremor and dystonic tremor
Background: Essential tremor (ET) and Dystonic tremor (DT) share overlapping motor symptoms, leading to frequent misdiagnoses. Multimodal Graph Convolutional Network (GCNs) with transformer architecture hold promise for early diagnosis and pathogenesis exploration. Objectives: To develop a multiscal...
Gorde:
| Egile Nagusiak: | , , , , , , , , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Elsevier
2026-07-01
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| Saila: | Neurobiology of Disease |
| Gaiak: | |
| Sarrera elektronikoa: | http://www.sciencedirect.com/science/article/pii/S0969996126001725 |
| Etiketak: |
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