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Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 12, 页码: 5241-5249
作者:  Li, Jing;  Fang, Mengjie;  Wang, Rui;  Dong, Di;  Tian, Jie;  Liang, Pan;  Liu, Jie;  Gao, Jianbo
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：284/27  |  提交时间：2019/07/12
Gastric cancer  Dual-energy CT  Lymph node metastasis  Nomogram  
Preoperative radiomics nomogramfor microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT 期刊论文
European Raidology, 2018, 期号: 1, 页码: 11
作者:  Ma Xiaohong;  Wei Jingwei;  Gu Dongsheng;  Zhu Yongjian;  Feng Bing;  Liang Meng;  Wang Shuang;  Zhao Xinming;  Tian Jie
浏览  |  Adobe PDF(1156Kb)  |  收藏  |  浏览/下载：305/97  |  提交时间：2019/05/08
Hepatocellular Carcinoma  Microvessel  Forecasting  Imaging  Three-dimensional Tomography  
Connectome-based individualized prediction of temperament trait scores 期刊论文
NEUROIMAGE, 2018, 卷号: 183, 期号: NA, 页码: 366-374
作者:  Jiang, Rongtao;  Calhoun, Vince D.;  Zuo, Nianming;  Lin, Dongdong;  Li, Jin;  Fan, Lingzhong;  Qi, Shile;  Sun, Hailun;  Fu, Zening;  Song, Ming;  Jiang, Tianzi;  Sui, Jing
浏览  |  Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：483/94  |  提交时间：2019/01/08
Individualized prediction  Temperament traits  Functional connectivity  Reward processing  Temperament and character inventory (TCI)  
A Survey of Cognitive Architectures in the Past 20 Years 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3280-3290
作者:  Ye, Peijun;  Wang, Tao;  Wang, Fei-Yue
浏览  |  Adobe PDF(734Kb)  |  收藏  |  浏览/下载：684/253  |  提交时间：2019/01/08
Agent  artificial intelligence (Al)  cognitive architecture (CA)  survey  
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 期号: 1688, 页码: 1-17
作者:  Kang, Mengzhen;  Hua, Jing;  Wang, Xiujuan;  de Reffye, Philippe;  Jaeger, Marc;  Akaffou, Selastique
浏览  |  Adobe PDF(3548Kb)  |  收藏  |  浏览/下载：312/53  |  提交时间：2019/07/12
greenlab  inverse method  source-sink parameters  functional-structural plant model  stochastic development  parameter estimation  
ESI计算机科学领域热点论文2018年第4期 其他
2018-11-20
作者:  张桂英
Adobe PDF(731Kb)  |  收藏  |  浏览/下载：432/133  |  提交时间：2018/11/23
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：457/146  |  提交时间：2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：412/111  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning  
LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic dysfunction: preliminary results 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 11, 页码: 4615-4624
作者:  Cheng, Sainan;  Fang, Mengjie;  Cui, Chen;  Chen, Xiuyu;  Yin, Gang;  Prasad, Sanjay K.;  Dong, Di;  Tian, Jie;  Zhao, Shihua
Adobe PDF(1121Kb)  |  收藏  |  浏览/下载：272/25  |  提交时间：2019/12/16
Hypertrophic cardiomyopathy  Cardiac magnetic resonance  Late gadolinium enhancement  Texture features  Event-free survival  
Machine learning in major depression: From classification to treatment outcome prediction 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2018, 卷号: 24, 期号: 11, 页码: 1037-1052
作者:  Gao, Shuang;  Calhoun, Vince D.;  Sui, Jing
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：295/58  |  提交时间：2019/01/08
classification  machine learning  magnetic resonance imaging  major depressive disorder  review