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脑网络组研究 [3]
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Rao GuangX... [3]
Liu Bing [2]
Li Ang [2]
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2020 [3]
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基于深度学习的汉族人群脑龄预测模型构建与临床应用研究
学位论文
, 远程授予: 中国科学院大学, 2020
Authors:
饶光祥
Adobe PDF(4981Kb)
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Submit date:2020/06/22
结构磁共振影像,脑龄预测,脑龄估值差,大脑发育老化,深度学习
A neuroimaging biomarker for striatal dysfunction in schizophrenia
期刊论文
NATURE MEDICINE, 2020, 卷号: 26, 期号: 26, 页码: 27
Authors:
Li, Ang
;
Zalesky, Andrew
;
Yue, Weihua
;
Howes, Oliver
;
Yan, Hao
;
Liu, Yong
;
Fan, Lingzhong
;
Whitaker, Kirstie J.
;
Xu, Kaibin
;
Rao, Guangxiang
;
Li, Jin
;
Liu, Shu
;
Wang, Meng
;
Sun, Yuqing
;
Song, Ming
;
Li, Peng
;
Chen, Jun
;
Chen, Yunchun
;
Wang, Huaning
;
Liu, Wenming
;
Li, Zhigang
;
Yang, Yongfeng
;
Guo, Hua
;
Wan, Ping
;
Lv, Luxian
;
Lu, Lin
;
Yan, Jun
;
Song, Yuqing
;
Wang, Huiling
;
Zhang, Hongxing
;
Wu, Huawang
;
Ning, Yuping
;
Du, Yuhui
;
Cheng, Yuqi
;
Xu, Jian
;
Xu, Xiufeng
;
Zhang, Dai
;
Wang, Xiaoqun
;
Jiang, Tianzi
;
Liu, Bing
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Submit date:2020/06/02
TREATMENT-RESISTANT SCHIZOPHRENIA,RESTING-STATE FMRI,FUNCTIONAL CONNECTIVITY,DOPAMINE HYPOTHESIS,GENE-EXPRESSION,NETWORK
A High-Powered Brain Age Prediction Model Based On Convolutional Neural Network
会议论文
, Iowa, USA, 2020年4月3日-2020年4月7日
Authors:
Rao, Guangxiang
;
Li, Ang
;
Liu, Yong
;
Liu, Bing
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Submit date:2020/06/22
Brain age prediction, structural magnetic resonance image, Convolutional Neural Network, Inception Net, global average pooling