CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共8条,第1-8条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
Adobe PDF(2945Kb)  |  收藏  |  浏览/下载:175/5  |  提交时间:2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
Semi-supervised Long-tail Endoscopic Image Classification 期刊论文
Chinese Medical Sciences Journal, 2022, 卷号: 37, 期号: 3, 页码: 171-181
作者:  Runnan Cao;  Mengjie Fang;  Hailing Li;  Jie Tian;  Di Dong
Adobe PDF(9519Kb)  |  收藏  |  浏览/下载:183/39  |  提交时间:2023/06/14
endoscopic image  artificial intelligence  semi-supervised learning  long-tail distribution  image classification  
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:364/45  |  提交时间:2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
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:405/74  |  提交时间:2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study 期刊论文
Radiotherapy and oncology, 2020, 卷号: 150, 期号: 1, 页码: 73-80
作者:  Zhang, Liwen;  Dong, Di;  Zhang, Wenjuan;  Hao, Xiaohan;  Fang, Mengjie;  Wang, Shuo;  Li, Wuchao;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
浏览  |  Adobe PDF(1185Kb)  |  收藏  |  浏览/下载:285/65  |  提交时间:2020/10/25
Gastric Cancer  
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 10
作者:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
浏览  |  Adobe PDF(5232Kb)  |  收藏  |  浏览/下载:375/61  |  提交时间:2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
CT-Based Radiomic Signature as a Prognostic Factor in Stage IV ALK-Positive Non-small-cell Lung Cancer Treated With TKI Crizotinib: A Proof-of-Concept Study 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 57
作者:  Li, Hailin;  Zhang, Rui;  Wang, Siwen;  Fang, Mengjie;  Zhu, Yongbei;  Hu, Zhenhua;  Dong, Di;  Shi, Jingyun;  Tian, Jie
Adobe PDF(915Kb)  |  收藏  |  浏览/下载:417/54  |  提交时间:2020/04/07
computed tomography  radiomics  non-small-cell lung cancer  tyrosine kinase inhibitor resistance  anaplastic lymphoma kinase  
Prognostic value of computed tomography radiomics features in patients with gastric cancer following curative resection 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 6, 页码: 3079-3089
作者:  Li, Wuchao;  Zhang, Liwen;  Tian, Chong;  Song, Hui;  Fang, Mengjie;  Hu, Chaoen;  Zang, Yali;  Cao, Ying;  Dai, Shiyuan;  Wang, Fang;  Dong, Di;  Wang, Rongpin;  Tian, Jie
Adobe PDF(1951Kb)  |  收藏  |  浏览/下载:533/140  |  提交时间:2019/07/12
Multidetector computed tomography  Stomach neoplasms  Survival