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Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy 期刊论文
TRANSLATIONAL ONCOLOGY, 2020, 卷号: 13, 期号: 11, 页码: 8
Authors:  Zhuang, Xiaosheng;  Chen, Chi;  Liu, Zhenyu;  Zhang, Liulu;  Zhou, Xuezhi;  Cheng, Minyi;  Ji, Fei;  Zhu, Teng;  Lei, Chuqian;  Zhang, Junsheng;  Jiang, Jingying;  Tian, Jie;  Wang, Kun
Favorite  |  View/Download：26/0  |  Submit date：2021/01/07
Improving initial nodal staging of T3 rectal cancer using quantitative image features 期刊论文
BRITISH JOURNAL OF SURGERY, 2020, 页码: 2
Authors:  Zhou, Xuezhi;  Liu, Zhenyu;  Zhang, Dafu;  Wu, Lin;  Sun, Kai;  Shao, Lizhi;  Huang, Liyu;  Li, Zhenhui;  Tian, Jie
Favorite  |  View/Download：29/0  |  Submit date：2020/09/28
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
Authors:  Shao, Lizhi;  Liu, Zhenyu;  Feng, Lili;  Lou, Xiaoying;  Li, Zhenhui;  Zhang, Xiao-Yan;  Zhou, Xuezhi;  Sun, Kai;  Zhang, Da-Fu;  Wu, Lin;  Yang, Guanyu;  Sun, Ying-Shi;  Xu, Ruihua;  Wan, Xiangbo;  Fan, Xinjuan;  Tian, Jie
Favorite  |  View/Download：1/0  |  Submit date：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
Authors:  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
Favorite  |  View/Download：23/0  |  Submit date：2020/08/31
Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
Authors:  Sun, Kai;  Liu, Zhenyu;  Li, Yiming;  Wang, Lei;  Tang, Zhenchao;  Wang, Shuo;  Zhou, Xuezhi;  Shao, Lizhi;  Sun, Caixia;  Liu, Xing;  Jiang, Tao;  Wang, Yinyan;  Tian, Jie
Favorite  |  View/Download：24/0  |  Submit date：2020/08/31
low-grade glioma  epilepsy  radiomics  elastic net  Cox regression  
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
Authors:  Zhou, Xuezhi;  Yi, Yongju;  Liu, Zhenyu;  Zhou, Zhiyang;  Lai, Bingjia;  Sun, Kai;  Li, Longfei;  Huang, Liyu;  Feng, Yanqiu;  Cao, Wuteng;  Tian, Jie
Favorite  |  View/Download：26/0  |  Submit date：2020/06/22
lymph node metastasis  prediction  neoadjuvant therapy  locally advanced rectal cancer  radiomics  
Radiomics improved pre-therapeutic prediction of breast cancers insensitive to neoadjuvant chemotherapy 期刊论文
CANCER RESEARCH, 2020, 卷号: 80, 期号: 4, 页码: 2
Authors:  Zhou, Xuezhi;  Liu, Zhenyu;  Du, Yang;  Xiong, Qianqian;  Wang, Kun;  Tian, Jie
Favorite  |  View/Download：43/0  |  Submit date：2020/06/22
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212
Authors:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Ma, Lulin;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
Favorite  |  View/Download：10/0  |  Submit date：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging  
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 16, 页码: 7231-7244
Authors:  Wu, Qingxia;  Wang, Shuo;  Liang, Li;  Wu, Qingxia;  Qian, Wei;  Hu, Yahua;  Li, Li;  Zhou, Xuezhi;  Ma, He;  Li, Hongjun;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Favorite  |  View/Download：26/0  |  Submit date：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome  
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
Authors:  Li, Longfei;  Mu, Wei;  Wang, Yaning;  Liu, Zhenyu;  Liu, Zehua;  Wang, Yu;  Ma, Wenbin;  Kong, Ziren;  Wang, Shuo;  Zhou, Xuezhi;  Wei, Wei;  Cheng, Xin;  Lin, Yusong;  Tian, Jie
Favorite  |  View/Download：56/0  |  Submit date：2020/03/30
F-18-FDG PET  radiomics  glioma  isocitrate dehydrogenase  non-invasive prediction