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Personalized graph neural networks with attention mechanism for session-aware recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 34, 期号: 8, 页码: 3946-3957
作者:  Mengqi Zhang;  Shu Wu;  Meng Gao;  Xin Jiang;  Ke Xu;  Liang Wang
Adobe PDF(1277Kb)  |  收藏  |  浏览/下载：130/49  |  提交时间：2023/07/03
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：326/54  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Tumor Vessel Targeted Self-Assemble Nanoparticles for Amplification and Prediction of the Embolization Effect in Hepatocellular Carcinoma 期刊论文
ACS NANO, 2020, 卷号: 14, 期号: 11, 页码: 14907-14918
作者:  Wang, Yaqin;  Shang, Wenting;  Zhong, Hongshan;  Luo, Ting;  Niu, Meng;  Xu, Ke;  Tian, Jie
收藏  |  浏览/下载：207/0  |  提交时间：2021/03/01
coagulation cascade  tumor embolism  vessel density  hepatocellular carcinoma  self-assemble  nanoparticle  
NONINVASIVE PREDICTION OF RECURRENCE-FREE SURVIVAL AFTER SURGICAL RESECTION IN INTRAHEPATIC CHOLANGIOCARCINOMA: A MULTICENTER RADIOMICS STUDY 期刊论文
HEPATOLOGY, 2020, 卷号: 72, 页码: 682A-683A
作者:  Wei, Jingwei;  Han, Yuqi;  Niu, Meng;  Chen, Yongliang;  Wang, Jian;  Tian, Jie
收藏  |  浏览/下载：163/0  |  提交时间：2021/01/07
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:  Liu, Zhenyu;  Meng, Xiaochun;  Zhang, Hongmei;  Li, Zhenhui;  Liu, Jiangang;  Sun, Kai;  Meng, Yankai;  Dai, Weixing;  Xie, Peiyi;  Ding, Yingying;  Wang, Meiyun;  Cai, Guoxiang;  Tian, Jie
收藏  |  浏览/下载：208/0  |  提交时间：2021/01/07
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载：281/66  |  提交时间：2020/10/25
Computed tomography (CT)  
A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study 期刊论文
Radiotherapy and oncology, 2020, 卷号: 150, 期号: 1, 页码: 73-80
作者:  Zhang, Liwen;  Dong, Di;  Zhang, Wenjuan;  Hao, Xiaohan;  Fang, Mengjie;  Wang, Shuo;  Li, Wuchao;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
浏览  |  Adobe PDF(1185Kb)  |  收藏  |  浏览/下载：265/63  |  提交时间：2020/10/25
Gastric Cancer  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 卷号: 42, 期号: 11, 页码: 2874-2886
作者:  Jianlong Chang;  Lingfeng Wang;  Gaofeng Meng;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(3090Kb)  |  收藏  |  浏览/下载：253/90  |  提交时间：2020/10/20
Local-aggregation function  local-aggregation graph neural network  non-Euclidean structured signal  
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2020, 卷号: 56, 期号: 2, 页码: 11
作者:  Wang, Shuo;  Zha, Yunfei;  Li, Weimin;  Wu, Qingxia;  Li, Xiaohu;  Niu, Meng;  Wang, Meiyun;  Qiu, Xiaoming;  Li, Hongjun;  Yu, He;  Gong, Wei;  Bai, Yan;  Li, Li;  Zhu, Yongbei;  Wang, Liusu;  Tian, Jie
收藏  |  浏览/下载：233/0  |  提交时间：2020/09/21
MIR137polygenic risk is associated with schizophrenia and affects functional connectivity of the dorsolateral prefrontal cortex 期刊论文
PSYCHOLOGICAL MEDICINE, 2020, 卷号: 50, 期号: 9, 页码: 1510-1518
作者:  Liu, Shu;  Li, Ang;  Liu, Yong;  Li, Jin;  Wang, Meng;  Sun, Yuqing;  Qin, Wen;  Yu, Chunshui;  Jiang, Tianzi;  Liu, Bing
浏览  |  Adobe PDF(517Kb)  |  收藏  |  浏览/下载：343/91  |  提交时间：2020/08/31
Dorsolateral prefrontal cortex  functional connectivity  microRNA-137  polygenic risk score  schizophrenia