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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
收藏  |  浏览/下载:55/0  |  提交时间:2021/01/07
MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 12
作者:  Zhang, Lu;  Wu, Xiangjun;  Liu, Jing;  Zhang, Bin;  Mo, Xiaokai
收藏  |  浏览/下载:68/0  |  提交时间:2020/09/07
Radiopathomics strategy combining multiparametric MRI with whole-slide image for pretreatment prediction of tumor regression grade to neoadjuvant chemoradiotherapy in rectal cancer 期刊论文
CANCER RESEARCH, 2020, 卷号: 80, 期号: 16, 页码: 2
作者:  Shao, Lizhi;  Liu, Zhenyu;  Feng, Lili;  Lou, Xiaoying;  Li, Zhenhui
收藏  |  浏览/下载:44/0  |  提交时间:2021/03/29
Deep learning-based prognosis prediction in T3N1 nasopharyngeal carcinoma patients treated with induction chemotherapy followed by concurrent chemoradiotherapy 期刊论文
CANCER RESEARCH, 2020, 卷号: 80, 期号: 16, 页码: 2
作者:  Zhong, Lianzhen;  Dong, Di;  Tang, Linglong;  Han, Shuyan;  Tian, Jie
收藏  |  浏览/下载:33/0  |  提交时间:2021/03/29
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
收藏  |  浏览/下载:41/0  |  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
收藏  |  浏览/下载:23/0  |  提交时间:2020/06/22
Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 2, 页码: 833-843
作者:  Mo, Xiaokai;  Wu, Xiangjun;  Dong, Di;  Guo, Baoliang;  Liang, Changhong
收藏  |  浏览/下载:27/0  |  提交时间:2020/03/30
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
收藏  |  浏览/下载:45/0  |  提交时间:2020/10/25


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