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Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3690-3700
作者:  Shao, Lizhi;  Liu, Zhenyu;  Yan, Ye;  Liu, Jiangang;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：314/0  |  提交时间：2021/12/28
Magnetic resonance imaging  Principal component analysis  Pathology  Lesions  Optimization  Task analysis  Predictive models  Gleason score  prostate cancer  patient-level prediction  joint optimization  MRI  reinforcement learning  
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
作者:  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
收藏  |  浏览/下载：289/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging  
Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 10
作者:  Tian, Xin;  Sun, Caixia;  Liu, Zhenyu;  Li, Weili;  Duan, Hui;  Wang, Lu;  Fan, Huijian;  Li, Mingwei;  Li, Pengfei;  Wang, Lihui;  Liu, Ping;  Tian, Jie;  Chen, Chunlin
收藏  |  浏览/下载：301/0  |  提交时间：2020/04/07
locally advanced cervical cancer (LACC)  radiomics  neoadjuvant chemotherapy  response prediction  CT  
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：395/0  |  提交时间：2020/03/30
Biomarkers  Magnetic resonance imaging  Prognosis  Progression-free survival  Radiomics  Skull base chordoma  
Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 81-87
作者:  Li, Longfei;  Wang, Ke;  Ma, Xiujian;  Liu, Zhenyu;  Wang, Shuo;  Du, Jiang;  Tian, Kaibing;  Zhou, Xuezhi;  Wei, Wei;  Sun, Kai;  Lin, Yusong;  Wu, Zhen;  Tian, Jie
收藏  |  浏览/下载：372/0  |  提交时间：2019/12/16
Radiomics  Chordoma  Chondrosarcoma  Multiparametric MRI  
Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma 期刊论文
CLINICAL RADIOLOGY, 2019, 卷号: 74, 期号: 10, 页码: 9
作者:  Kong, Z.;  Li, J.;  Liu, Zehua;  Liu, Zhenyu;  Zhao, D.;  Cheng, X.;  Li, L.;  Lin, Y.;  Wang, Y.;  Tian, J.;  Ma, W.
收藏  |  浏览/下载：315/0  |  提交时间：2019/12/16
F-18-FDG-PET-based Radiomics signature predicts MGMT promoter methylation status in primary diffuse glioma 期刊论文
CANCER IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 10
作者:  Kong, Ziren;  Lin, Yusong;  Jiang, Chendan;  Li, Longfei;  Liu, Zehua;  Wang, Yuekun;  Dai, Congxin;  Liu, Delin;  Qin, Xuying;  Wang, Yu;  Liu, Zhenyu;  Cheng, Xin;  Tian, Jie;  Ma, Wenbin
收藏  |  浏览/下载：293/0  |  提交时间：2019/12/16
Radiomics  FDG PET  MGMT promoter methylation  Glioma  Prognosis  
Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2019, 卷号: 46, 页码: 160-169
作者:  Sun, Caixia;  Tian, Xin;  Liu, Zhenyu;  Li, Weili;  Li, Pengfei;  Chen, Jiaming;  Zhang, Weifeng;  Fang, Ziyu;  Du, Peiyan;  Duan, Hui;  Liu, Ping;  Wang, Lihui;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：318/0  |  提交时间：2019/12/16
Radiomics  Magnetic resonance imaging  Neoadjuvant chemotherapy  Locally advanced cervical cancer