中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共9条，第1-9条 帮助

已选(0)清除 条数/页：   排序方式：
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2023, 卷号: 188, 页码: 9
作者:  Zhang, Song;  Cai, Guoxiang;  Xie, Peiyi;  Sun, Caixia;  Li, Bao;  Dai, Weixing;  Liu, Xiangyu;  Qiu, Qi;  Du, Yang;  Li, Zhenhui;  Liu, Zhenyu;  Tian, Jie
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
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：330/55  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation  
A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0 期刊论文
Radiotherapy and Oncology, 2020, 卷号: 151, 期号: 1, 页码: 1-9
作者:  Zhong, Lianzhen;  Fang, Xueliang;  Dong, Di;  Peng, Hao;  Fang, Mengjie;  Huang, Chenglong;  He, Bingxi;  Lin, Li;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(8171Kb)  |  收藏  |  浏览/下载：175/70  |  提交时间：2020/10/25
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：235/59  |  提交时间：2020/10/25
Gastric Cancer  
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：293/70  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 141, 页码: 239-246
作者:  Wei, Wei;  Wang, Ke;  Liu, Zhenyu;  Tian, Kaibing;  Wang, Liang;  Du, Jiang;  Ma, Junpeng;  Wang, Shuo;  Li, Longfei;  Zhao, Rui;  Cui, Luo;  Wu, Zhen;  Tian, Jie
收藏  |  浏览/下载：344/0  |  提交时间：2020/03/30
Biomarkers  Magnetic resonance imaging  Prognosis  Progression-free survival  Radiomics  Skull base chordoma  
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 138, 页码: 141-148
作者:  Wu, Qingxia;  Wang, Shuo;  Chen, Xi;  Wang, Yan;  Dong, Li;  Liu, Zhenyu;  Tian, Jie;  Wang, Meiyun
收藏  |  浏览/下载：365/0  |  提交时间：2019/12/16
Radiomics  Cervical cancer  Lymph nodes  Magnetic resonance imaging  
Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 100-108
作者:  Tang, Zhenchao;  Zhang, Xiao-Yan;  Liu, Zhenyu;  Li, Xiao-Ting;  Shi, Yan-Jie;  Wang, Shou;  Fang, Mengjie;  Shen, Chen;  Dong, Enqing;  Sun, Ying-Shi;  Tian, Jie
Adobe PDF(2101Kb)  |  收藏  |  浏览/下载：308/42  |  提交时间：2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：418/112  |  提交时间：2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning