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A deep neural network estimation of brain age is sensitive to cognitive impairment and decline.

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第一作者： Yisu,Yang

第一单位： Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA, 37212, USA.

作者： Yisu,Yang ^[1] ; Aditi,Sathe ; Kurt,Schilling ; Niranjana,Shashikumar ; Elizabeth,Moore ; Logan,Dumitrescu ; Kimberly R,Pechman ; Bennett A,Landman ; Katherine A,Gifford ; Timothy J,Hohman ; Angela L,Jefferson ; Derek B,Archer

作者单位： Vanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA, 37212, USA. ^[1]

医学主题词人类(Humans);人工智能(Artificial Intelligence);横断面研究(Cross-Sectional Studies);计算生物学(Computational Biology);脑(Brain);阿尔茨海默病(Alzheimer Disease);磁共振成像(Magnetic Resonance Imaging)

PMID 38160276

发布时间 2025-11-21

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

2024年29卷

148-162页

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

2024年29卷

148-162页

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A deep neural network estimation of brain age is sensitive to cognitive impairment and decline.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

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A deep neural network estimation of brain age is sensitive to cognitive impairment and decline.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

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