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面向用户行为序列的深度上下文建模 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  崔强
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上下文信息  深度学习  用户行为序列  循环神经网络  注意力机制  
面向加密货币的复杂网络分析及其安全应用 学位论文
, 中国科学院大学: 中国科学院大学, 2019
Authors:  梁嘉琦
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加密货币  比特币  复杂网络  金融市场  交易网络  
无肿瘤区域引导的生物自发荧光断层成像重建算法研究 学位论文
, 北京: 中国科学院大学, 2019
Authors:  高源
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光学分子影像  生物自发荧光断层成像  高斯权重拉普拉斯正则先验  双边权重拉普拉斯正则先验  多层感知机重建模型  
基于光学多模分子影像技术的抗肝肿瘤药物疗效评估 学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  梁倩
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光学多模分子影像,自发荧光断层重建,药效评估,阿帕替尼,索拉菲尼,肝癌  
Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction 会议论文
, Macau SAR, China, 14-17 April 2019
Authors:  Qiang Cui;  Yuyuan Tang;  Shu Wu;  Liang Wang
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Poi  Sequential Preference  Spatial Preference  Non-linear  
Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication 会议论文
, 美国圣地亚哥, 2019年2月20日
Authors:  Wei Jingwei;  Fu Sirui;  Zhang Shuaitong;  Zhang Jie;  Gu Dongsheng;  Li Xiaoqun;  Chen Xudong;  He Xiaofeng;  Yan Jianfeng;  Lu Ligong;  Tian Jie
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hepatocellular carcinoma  macrovascular invasion  prognosis  computed tomography  radiomics  prediction  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
Authors:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
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Neuroblastoma-targeting triangular gadolinium oxide nanoplates for precise excision of cancer 期刊论文
Acta Biomaterialia, 2019, 期号: 97, 页码: 223-234
Authors:  Jin YS(靳玉慎);  Li YY(李妍妍);  Yang X(杨鑫);  Tian J(田捷)
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Triangular Gadolinium Oxide Nanoplates  Fluorescence Imaging  Mri Imaging  Imaging-guided Excision  
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
Authors:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
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Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
European Respiratory Journal, 2019, 期号: 53, 页码: 1800986
Authors:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
View  |  Adobe PDF(743Kb)  |  Favorite  |  View/Download:15/2  |  Submit date:2019/04/30
Lung Adenocarcinoma  Epidermal Growth Factor Receptor Mutation  Lung Cancer  Deep Learning  Artificial Intelligence  Health Informatics