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Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：274/53  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
基于调强放疗大数据的患者剂量验证方法建模研究 学位论文
工学博士, 中国科学院自动化所: 中国科学院大学, 2021
作者:  王乐
Adobe PDF(5726Kb)  |  收藏  |  浏览/下载：167/2  |  提交时间：2022/03/07
肿瘤放射治疗，机器学习，深度学习，预测分类，基于患者的剂量验证， 容积旋转调强治疗  
A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction 会议论文
, Bratislava, Slovakia, 2021-09
作者:  Haoda Qian;  Qiudan Li;  Zaichuan Tang
Adobe PDF(79001Kb)  |  收藏  |  浏览/下载：308/121  |  提交时间：2022/06/14
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：333/67  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 期号: 10.1016/j.radonc.2021.06.024, 页码: 230-240
作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin;  Li, Ying;  Guan, Yumin;  Wu, Xiangyang;  Xu, Shouping;  Zhang, Shuming;  Chan, Maria F.;  Geng, Lisheng;  Sui, Jing
Adobe PDF(2840Kb)  |  收藏  |  浏览/下载：327/55  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation  
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文
MEDICAL PHYSICS, 2021, 卷号: 48, 期号: 9, 页码: 5017-5028
作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：202/32  |  提交时间：2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
基于2D-3D多维CT影像组学特征的胃癌分期预测方法研究 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
作者:  孟令威
Adobe PDF(2232Kb)  |  收藏  |  浏览/下载：253/5  |  提交时间：2021/06/17
影像组学  模式识别  计算机辅助诊断  人工智能  计算机断层扫描成像  胃癌  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载：634/356  |  提交时间：2021/05/06
deep learning  peritumor  radiomics  
High-Resolution pO(2) Imaging Improves Quantification of the Hypoxic Fraction in Tumors During Radiation Therapy 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 109, 期号: 2, 页码: 603-613
作者:  Cao, Xu;  Allu, Srinivasa Rao;  Jiang, Shudong;  Gunn, Jason R.;  Yao, Cuiping;  Xin, Jing;  Bruza, Petr;  Gladstone, David J.;  Jarvis, Lesley A.;  Tian, Jie;  Swartz, Harold M.;  Vinogradov, Sergei A.;  Pogue, Brian W.
收藏  |  浏览/下载：162/0  |  提交时间：2021/03/08
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：173/34  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence