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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：110/0  |  提交时间：2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study 期刊论文
LANCET DIGITAL HEALTH, 2022, 卷号: 4, 期号: 1, 页码: E8-E17
作者:  Feng, Lili;  Liu, Zhenyu;  Li, Chaofeng;  Li, Zhenhui;  Lou, Xiaoying;  Shao, Lizhi;  Wang, Yunlong;  Huang, Yan;  Chen, Haiyang;  Pang, Xiaolin;  Liu, Shuai;  He, Fang;  Zheng, Jian;  Meng, Xiaochun;  Xie, Peiyi;  Yang, Guanyu;  Ding, Yi;  Wei, Mingbiao;  Yun, Jingping;  Hung, Mien-Chie;  Zhou, Weihua;  Wahl, Dantel R.;  Lan, Ping;  Tian, Jie;  Wan, Xiangbo
收藏  |  浏览/下载：219/0  |  提交时间：2022/02/16
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:  Liu, Zhenyu;  Meng, Xiaochun;  Zhang, Hongmei;  Li, Zhenhui;  Liu, Jiangang;  Sun, Kai;  Meng, Yankai;  Dai, Weixing;  Xie, Peiyi;  Ding, Yingying;  Wang, Meiyun;  Cai, Guoxiang;  Tian, Jie
收藏  |  浏览/下载：192/0  |  提交时间：2021/01/07
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2020, 页码: 11
作者:  Shao, Lizhi;  Liu, Zhenyu;  Feng, Lili;  Lou, Xiaoying;  Li, Zhenhui;  Zhang, Xiao-Yan;  Wan, Xiangbo;  Zhou, Xuezhi;  Sun, Kai;  Zhang, Da-Fu;  Wu, Lin;  Yang, Guanyu;  Sun, Ying-Shi;  Xu, Ruihua;  Fan, Xinjuan;  Tian, Jie
收藏  |  浏览/下载：215/0  |  提交时间：2020/08/31
Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 13
作者:  Zhou, Xuezhi;  Yi, Yongju;  Liu, Zhenyu;  Zhou, Zhiyang;  Lai, Bingjia;  Sun, Kai;  Li, Longfei;  Huang, Liyu;  Feng, Yanqiu;  Cao, Wuteng;  Tian, Jie
收藏  |  浏览/下载：251/0  |  提交时间：2020/06/22
lymph node metastasis  prediction  neoadjuvant therapy  locally advanced rectal cancer  radiomics  
Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2019, 卷号: 26, 期号: 6, 页码: 1676-1684
作者:  Zhou, Xuezhi;  Yi, Yongju;  Liu, Zhenyu;  Cao, Wuteng;  Lai, Bingjia;  Sun, Kai;  Li, Longfei;  Zhou, Zhiyang;  Feng, Yanqiu;  Tian, Jie
收藏  |  浏览/下载：229/0  |  提交时间：2019/07/11
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：323/42  |  提交时间：2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support  
Radiomics Analysis on T2-MR Image to Predict Lymphovascular Space Invasion in Cervical Cancer 会议论文
, San Diego, USA, 2019-2
作者:  Wang, Shuo;  Chen, Xi;  Liu, Zhenyu;  Wu, Qingxia;  Zhu, Yongbei;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(540Kb)  |  收藏  |  浏览/下载：388/92  |  提交时间：2019/04/30
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges 期刊论文
Theranostics, 2019, 卷号: 9, 期号: 5, 页码: 1303-1322
作者:  Liu, Zhenyu;  Wang, Shuo;  Dong, Di;  Wei, Jingwei;  Fang, Cheng;  Zhou, Xuezhi;  Sun, Kai;  Li, Longfei;  Li, Bo;  Wang, Meiyun;  Tian, Jie
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：885/536  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
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：433/115  |  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