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A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods 期刊论文
JOURNAL OF AFFECTIVE DISORDERS, 2022, 卷号: 300, 页码: 1-9
Authors:  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Zhou, Zhifeng;  Zhong, Shuming;  Tang, Zhenchao;  Wang, Shuo;  Zhou, Guifei;  Zhou, Xuezhi;  Shao, Lizhi;  Ye, Xiaoying;  Zhang, Yingli;  Jia, Yanbin;  Pan, Jiyang;  Huang, Li;  Liu, Xia;  Liu, Jiangang;  Tian, Jie;  Wang, Ying
Favorite  |  View/Download：35/0  |  Submit date：2022/02/16
Major depressive disorder  rs-fMRI  VBM  Radiomics  Classification  
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
Authors:  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
Favorite  |  View/Download：33/0  |  Submit date：2022/02/16
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
Authors:  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
Favorite  |  View/Download：38/0  |  Submit date：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  
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：72/0  |  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：39/0  |  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：71/0  |  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：67/0  |  Submit date：2020/08/31
low-grade glioma  epilepsy  radiomics  elastic net  Cox regression  
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：54/0  |  Submit date：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging