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Prediction of baseline expressive and receptive language function in children with focal epilepsy using diffusion tractography-based deep learning network
PURPOSE: Focal epilepsy is a risk factor for language impairment in children. We investigated whether the current state-of-the-art deep learning network on diffusion tractography connectome can accurately predict expressive and receptive language scores of children with epilepsy. METHODS: We studied...
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| Wydane w: | Epilepsy Behav |
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| Główni autorzy: | , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8035310/ https://ncbi.nlm.nih.gov/pubmed/33740493 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.yebeh.2021.107909 |
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