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Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer 期刊论文
EBIOMEDICINE, 2020, 卷号: 60, 页码: 11
作者:  Guo, Xu;  Liu, Zhenyu;  Sun, Caixia;  Zhang, Lei;  Wang, Ying;  Li, Ziyao;  Shi, Jiaxin;  Wu, Tong;  Cui, Hao;  Zhang, Jing;  Tian, Jie;  Tian, Jiawei
收藏  |  浏览/下载：211/0  |  提交时间：2021/01/07
Deep learning radiomics  Ultrasonography  Primary breast cancer  Axillary management  NSLN metastasis in the axilla  
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study (vol 50, pg 355, 2019) 期刊论文
EBIOMEDICINE, 2020, 卷号: 55, 页码: 1
作者:  Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei;  Zhao, Xin;  Wang, Shuo;  Shang, Honglei;  Lin, Yusong;  Wen, Zejun;  Zhang, Xiaoan;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：282/0  |  提交时间：2020/06/22
Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study 期刊论文
EBIOMEDICINE, 2019, 卷号: 50, 页码: 355-365
作者:  Wu, Qingxia;  Yao, Kuan;  Liu, Zhenyu;  Li, Longfei;  Zhao, Xin;  Wang, Shuo;  Shang, Honglei;  Lin, Yusong;  Wen, Zejun;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：367/0  |  提交时间：2020/03/30
Radiomics  Placenta accreta spectrum  Postpartum haemorrhage  Estimated blood loss  Magnetic resonance imaging  
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：381/63  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning  
Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2019, 卷号: 46, 页码: 160-169
作者:  Sun, Caixia;  Tian, Xin;  Liu, Zhenyu;  Li, Weili;  Li, Pengfei;  Chen, Jiaming;  Zhang, Weifeng;  Fang, Ziyu;  Du, Peiyan;  Duan, Hui;  Liu, Ping;  Wang, Lihui;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：289/0  |  提交时间：2019/12/16
Radiomics  Magnetic resonance imaging  Neoadjuvant chemotherapy  Locally advanced cervical cancer