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Cited by in F6Publishing
For: Li TR, Dong QY, Jiang XY, Kang GX, Li X, Xie YY, Jiang JH, Han Y; Alzheimer's Disease Neuroimaging Initiative. Exploring brain glucose metabolic patterns in cognitively normal adults at risk of Alzheimer's disease: A cross-validation study with Chinese and ADNI cohorts. Neuroimage Clin 2022;33:102900. [PMID: 34864286 DOI: 10.1016/j.nicl.2021.102900] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Jiang J, Sheng C, Chen G, Liu C, Jin S, Li L, Jiang X, Han Y; Alzheimer’s Disease Neuroimaging Initiative. Glucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment. Geroscience 2022. [PMID: 35581512 DOI: 10.1007/s11357-022-00588-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Jiang J, Zhang J, Li Z, Li L, Huang B; Alzheimer’s Disease Neuroimaging Initiative. Using Deep Learning Radiomics to Distinguish Cognitively Normal Adults at Risk of Alzheimer’s Disease From Normal Control: An Exploratory Study Based on Structural MRI. Front Med 2022;9:894726. [DOI: 10.3389/fmed.2022.894726] [Reference Citation Analysis]