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Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives
Neuroimaging studies typically adopt a common feature space for all data, which may obscure aspects of neuroanatomy only observable in subsets of a population, e.g. cortical folding patterns unique to individuals or shared by close relatives. Here, we propose to model individual variability using a...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931906/ https://www.ncbi.nlm.nih.gov/pubmed/31546048 http://dx.doi.org/10.1016/j.neuroimage.2019.116208 |