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Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features
The description of group-level, genotype- and phenotype-associated imaging traits is academically important, but the practical demands of clinical neurology centre on the accurate classification of individual patients into clinically relevant diagnostic, prognostic and phenotypic categories. Similar...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021106/ https://www.ncbi.nlm.nih.gov/pubmed/34585269 http://dx.doi.org/10.1007/s00415-021-10801-5 |