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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
Главные авторы: Zhou, Tao, Liu, Mingxia, Thung, Kim-Han, Shen, Dinggang
Формат: Artigo
Язык:Inglês
Опубликовано: 2019
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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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