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Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载：316/39  |  提交时间：2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载：247/53  |  提交时间：2022/03/03
缺陷检测  
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：300/58  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：272/47  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Non-invasive decision support for NSCLC treatment using PET/CT radiomics 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:  Mu, Wei;  Jiang, Lei;  Zhang, JianYuan;  Shi, Yu;  Gray, Jhanelle E.;  Tunali, Ilke;  Gao, Chao;  Sun, Yingying;  Tian, Jie;  Zhao, Xinming;  Sun, Xilin;  Gillies, Robert J.;  Schabath, Matthew B.
收藏  |  浏览/下载：205/0  |  提交时间：2021/01/07
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：460/127  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：317/74  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
A novel in vivo Cerenkov luminescence image-guided surgery on primary and metastatic colorectal cancer 期刊论文
JOURNAL OF BIOPHOTONICS, 2019, 页码: 11
作者:  Zhang, Zeyu;  Qu, Yawei;  Cao, Yu;  Shi, Xiaojing;  Guo, Hongbo;  Zhang, Xiaojun;  Zheng, Sheng;  Liu, Haifeng;  Hu, Zhenhua;  Tian, Jie
收藏  |  浏览/下载：298/0  |  提交时间：2020/03/30
Cerenkov luminescence imaging  colorectal cancer  image-guided surgery  in vivo  
Noninvasive Imaging for Assessment of the Efficacy of Therapeutic Agents for Hepatocellular Carcinoma 期刊论文
Molecular Imaging and Biology, 2019, 期号: 10.1007/s11307-019-01431-5, 页码: 1-14
作者:  Liang, Qian;  Kong, Lingxin;  Zhu, Xu;  Du, Yang;  Tian, Jie
浏览  |  Adobe PDF(3951Kb)  |  收藏  |  浏览/下载：316/111  |  提交时间：2020/06/03
Hepatocellular carcinoma  Molecular imaging  Preclinical drug evaluation  Clinical trial  Therapeutics  
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
作者:  Li, Longfei;  Mu, Wei;  Wang, Yaning;  Liu, Zhenyu;  Liu, Zehua;  Wang, Yu;  Ma, Wenbin;  Kong, Ziren;  Wang, Shuo;  Zhou, Xuezhi;  Wei, Wei;  Cheng, Xin;  Lin, Yusong;  Tian, Jie
收藏  |  浏览/下载：317/0  |  提交时间：2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction