Výsledky vyhledávání - "Galvin, James. E."

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Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis

Autor: Mirabnahrazam, Ghazal, Ma, Da, Beaulac, Cédric, Lee, Sieun, Popuri, Karteek, Lee, Hyunwoo, Cao, Jiguo, Galvin, James E, Wang, Lei, Beg, Mirza Faisal, Initiative, the Alzheimer's Disease Neuroimaging

Publikováno v: Neurobiology of Aging, 121, (2023), 139-156

Dementia of Alzheimer's Type (DAT) is a complex disorder influenced by numerous factors, but it is unclear how each factor contributes to disease progression. An in-depth examination of these factors may yield an accurate estimate of time-to-conversi

Externí odkaz: http://arxiv.org/abs/2205.01188

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Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease

Autor: Mirabnahrazam, Ghazal, Ma, Da, Lee, Sieun, Popuri, Karteek, Lee, Hyunwoo, Cao, Jiguo, Wang, Lei, Galvin, James E, Beg, Mirza Faisal, Initiative, the Alzheimer's Disease Neuroimaging

Publikováno v: J Alzheimers Dis 1 Jan. (2022) 1-21

Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better understand the characteristics of dementia of Alzheimer's type (DAT). Objec

Externí odkaz: http://arxiv.org/abs/2203.05707

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