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Latent Representation Learning for Alzheimer’s Disease Diagnosis with Incomplete Multi-modality Neuroimaging and Genetic Data
The fusion of complementary information contained in multi-modality data (e.g., Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and genetic data) has advanced the progress of automated Alzheimer’s disease (AD) diagnosis. However, multi-modality based AD diagnostic models are oft...
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| Опубликовано в: : | IEEE Trans Med Imaging |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8034601/ https://ncbi.nlm.nih.gov/pubmed/31021792 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2019.2913158 |
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