未登录.png)
分享.png)
收藏分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 Evidence for cognitive compensation mechanism in the postoperative delirium: a prospective multi-modal neuroimaging cohort study术后谵妄中认知补偿机制的证据：一项前瞻性多模态神经影像队列研究
Zhang, Guo-Bin; Li, Hao-Yi; Lv, Jia-Mei; Zhang, Xiao-Kang; Wang, Yong-Gang; Duan, Yun-Yun; Chen, Hong-Yan; Zhuo, Zhi-Zheng; Liu, Ya-Ou; Huang, Hua-Wei 分享 收藏 分享 收藏 Brain network alteration was associated with 'no evidence of disease activity' status in patients with relapsing-remitting multiple sclerosis脑网络改变与复发缓解型多发性硬化患者“无疾病活动迹象”状态相关。Yan, Zichun; Yang, Xiaolin; Lin, Bing; Zhu, Qiyuan; Shi, Zhuowei; Liu, Yaou; Ding, Shuang; Wang, Xiaohua; Chen, Zhengyu; Chen, Xiaoya; Xu, Yuhui; Tang, Yang; Feng, Jinzhou 分享 收藏 Choroid plexus cysts on 7T MRI: Relationship to aging and neurodegenerative diseases7t MRI上的脉络丛囊肿: 与衰老和神经退行性疾病的关系Zhen, ZM; Zhang, RT; Gui, L; Chen, JF; Xu, SY; Deng, LH; Yu, YL; Liu, H; Chen, K; Han, Q; Hsu, YC; Cheng, Y; Liu, Y; Huang, PY; Liu, C; Chen, W 分享 收藏 分享 收藏 Estimated Brain Age in Healthy Aging and Across Multiple Neurological Disorders健康衰老和多种神经系统疾病的估计大脑年龄Chai, Li; Sun, Jun; Zhuo, Zhizheng; Wei, Ren; Xu, Xiaolu; Duan, Yunyun; Tian, Decai; Bai, Yutong; Zhang, Ningnannan; Li, Haiqing; Li, Yuxin; Li, Yongmei; Zhou, Fuqing; Xu, Jun; Cole, James H.; Barkhof, Frederik; Zhang, Jianguo; Zheng, Huaguang; Liu, Yaou 分享 收藏 Brain lesion characteristics in Chinese multiple sclerosis patients: A 7-T MRI cohort studySu, Lei; Zhang, Zhe; Gao, Chenyang; Guo, Ai; Zhang, Mengting; Shi, Xiaoyu; Liu, Xinyao; Song, Tian; Xu, Wangshu; Wang, Huabing; Kuchling, Joseph; Jing, Jing; Tian, De-Cai; Liu, Yaou; Duan, Yunyun; Paul, Friedemann; Shi, Fu-Dong 分享 收藏 Morphological Brain Networks of White Matter: Mapping, Evaluation, Characterization, and ApplicationLi, Junle; Jin, Suhui; Li, Zhen; Zeng, Xiangli; Yang, Yuping; Luo, Zhenzhen; Xu, Xiaoyu; Cui, Zaixu; Liu, Yaou; Wang, Jinhui 分享 收藏 Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in RelapsingRemitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators基于临床和灰质萎缩指标的可解释和直观的机器学习方法预测复发缓解型多发性硬化症的残疾进展Yan, Zichun; Shi, Zhuowei; Zhu, Qiyuan; Feng, Jinzhou; Liu, Yaou; Li, Yuxin; Zhou, Fuqing; Zhuo, Zhizheng; Ding, Shuang; Wang, Xiaohua; Yin, Feiyue; Tang, Yang; Lin, Bing; Li, Yongmei 分享 收藏 VEGFR2 blockade inhibits glioblastoma cell proliferation by enhancing mitochondrial biogenesisGuo, Min; Zhang, Junhao; Han, Jiang; Hu, Yingyue; Ni, Hao; Yuan, Juan; Sun, Yang; Liu, Meijuan; Gao, Lifen; Liao, Wangjun; Ma, Chunhong; Liu, Yaou; Li, Shuijie; Li, Nailin 分享 收藏 DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for trainingLiu, Chenghao; Zhuo, Zhizheng; Qu, Liying; Jin, Ying; Hua, Tiantian; Xu, Jun; Tan, Guirong; Li, Yuna; Duan, Yunyun; Wang, Tingting; Zhang, Zaiqiang; Zhang, Yanling; Chen, Rui; Yu, Pinnan; Zhang, Peixin; Shi, Yulu; Zhang, Jianguo; Tian, Decai; Li, Runzhi; Zhang, Xinghu; Shi, Fudong; Wang, Yanli; Jiang, Jiwei; Carass, Aaron; Liu, Yaou; Ye, Chuyang 分享 收藏 Development and External Validation of an MRI-based Radiomics Nomogram to Distinguish Circumscribed Astrocytic Gliomas and Diffuse Gliomas: A Multicenter StudyLi, Shuang; Su, Xiaorui; Peng, Juan; Chen, Ni; Liu, Yanhui; Zhang, Simin; Shao, Hanbing; Tan, Qiaoyue; Yang, Xibiao; Liu, Yaou; Gong, Qiyong; Yue, Qiang 分享 收藏 
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
