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Adaptive template generation for amyloid PET using a deep learning approach
Accurate spatial normalization (SN) of amyloid positron emission tomography (PET) images for Alzheimer's disease assessment without coregistered anatomical magnetic resonance imaging (MRI) of the same individual is technically challenging. In this study, we applied deep neural networks to gener...
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| Publicado no: | Hum Brain Mapp |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6866631/ https://ncbi.nlm.nih.gov/pubmed/29752765 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.24210 |
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