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 signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  收藏  |  浏览/下载:342/49  |  提交时间:2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载:304/120  |  提交时间:2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung 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:359/59  |  提交时间:2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Fang, Mengjie;  Kan, Yangyang;  Dong, Di;  Yu, Tao;  Zhao, Nannan;  Jiang, Wenyan;  Zhong, Lianzhen;  Hu, Chaoen;  Luo, Yahong;  Tian, Jie
Adobe PDF(730Kb)  |  收藏  |  浏览/下载:360/60  |  提交时间:2020/06/22
cervical cancer  MRI  radiomics  treatment response prediction  concurrent chemotherapy and radiation therapy  precision medicine  
Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 8
作者:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  Zou, Jian;  Yang, Shudong;  Yu, Xinyi;  Xu, Dandan;  Zhou, Lijuan;  Li, Hailin;  He, Bingxi;  Wang, Yan;  Fang, Xiangming;  Dong, Di;  Tian, Jie
Adobe PDF(733Kb)  |  收藏  |  浏览/下载:335/52  |  提交时间:2020/06/02
prostate cancer  radiomics  Gleason score  biparametric MRI  
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2772-2778
作者:  Zhu, Xinzhong;  Dong, Di;  Chen, Zhendong;  Fang, Mengjie;  Zhang, Liwen;  Song, Jiangdian;  Yu, Dongdong;  Zang, Yali;  Liu, Zhenyu;  Shi, Jingyun;  Tian, Jie
Adobe PDF(896Kb)  |  收藏  |  浏览/下载:305/35  |  提交时间:2018/10/10
Aenocarcinoma  Diagnostic Imaging  Regression Analysis  Roc Curve  Squamous Cell Carcinoma  
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
作者:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载:421/94  |  提交时间:2018/10/10
EGFR-TKI therapy  
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
作者:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
浏览  |  Adobe PDF(3023Kb)  |  收藏  |  浏览/下载:571/225  |  提交时间:2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis