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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：366/127  |  提交时间：2022/06/14
CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文
Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: --
作者:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
Adobe PDF(1564Kb)  |  收藏  |  浏览/下载：215/51  |  提交时间：2022/04/06
Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
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：211/2  |  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  
Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition 期刊论文
JOURNAL OF PERSONALIZED MEDICINE, 2021, 卷号: 11, 期号: 11, 页码: 15
作者:  Wu, Danning;  Chen, Shi;  Zhang, Yuelun;  Zhang, Huabing;  Wang, Qing;  Li, Jianqiang;  Fu, Yibo;  Wang, Shirui;  Yang, Hongbo;  Du, Hanze;  Zhu, Huijuan;  Pan, Hui;  Shen, Zhen
Adobe PDF(2141Kb)  |  收藏  |  浏览/下载：361/106  |  提交时间：2022/01/27
artificial intelligence  computer-aided diagnosis  facial phenotypes  machine learning  complexity theory  
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：358/71  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Ferritin nanocages for early theranostics of tumors via inflammation-enhanced active targeting 期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2021, 页码: 13
作者:  Jiang, Bing;  Jia, Xiaohua;  Ji, Tianjiao;  Zhou, Meng;  He, Jiuyang;  Wang, Kun;  Tian, Jie;  Yan, Xiyun;  Fan, Kelong
Adobe PDF(2143Kb)  |  收藏  |  浏览/下载：297/7  |  提交时间：2021/11/03
ferritin nanocage  early theranostics  tumor-associated inflammation  multimodality tumor imaging  drug delivery  
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：409/75  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：307/63  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
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：312/45  |  提交时间：2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2021, 卷号: 9, 期号: 6, 页码: 15
作者:  Mu, Wei;  Jiang, Lei;  Shi, Yu;  Tunali, Ilke;  Gray, Jhanelle E.;  Katsoulakis, Evangelia;  Tian, Jie;  Gillies, Robert J.;  Schabath, Matthew B.
收藏  |  浏览/下载：170/0  |  提交时间：2021/08/15
tumor biomarkers  immunotherapy