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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：298/0  |  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  
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：205/0  |  提交时间：2021/01/07
Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis 期刊论文
CEREBRAL CORTEX, 2020, 卷号: 30, 期号: 3, 页码: 1117-1128
作者:  Wang, Ying;  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Jia, Yanbin;  Zhong, Shuming;  Pan, Jiyang;  Huang, Li;  Tian, Jie
收藏  |  浏览/下载：197/0  |  提交时间：2020/06/22
bipolar disorder  machine learning  radiomics  resting-state functional magnetic resonance imaging  
Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study 期刊论文
CLINICAL CANCER RESEARCH, 2019, 卷号: 25, 期号: 12, 页码: 3538-3547
作者:  Liu, Zhenyu;  Li, Zhuolin;  Qu, Jinrong;  Zhang, Renzhi;  Zhou, Xuezhi;  Li, Longfei;  Sun, Kai;  Tang, Zhenchao;  Jiang, Hui;  Li, Hailiang;  Xiong, Qianqian;  Ding, Yingying;  Zhao, Xinming;  Wang, Kun;  Liu, Zaiyi;  Tian, Jie
收藏  |  浏览/下载：313/0  |  提交时间：2019/12/16
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning 期刊论文
EUROPEAN RESPIRATORY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 11
作者:  Wang, Shuo;  Shi, Jingyun;  Ye, Zhaoxiang;  Dong, Di;  Yu, Dongdong;  Zhou, Mu;  Liu, Ying;  Gevaert, Olivier;  Wang, Kun;  Zhu, Yongbei;  Zhou, Hongyu;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(743Kb)  |  收藏  |  浏览/下载：530/156  |  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
Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：945/584  |  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
Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：453/118  |  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  
Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer 期刊论文
CLINICAL CANCER RESEARCH, 2017, 卷号: 23, 期号: 23, 页码: 7253-7262
作者:  Liu, Zhenyu;  Zhang, Xiao-Yan;  Shi, Yan-Jie;  Wang, Lin;  Zhu, Hai-Tao;  Tang, Zhenchao;  Wang, Shuo;  Li, Xiao-Ting;  Tian, Jie;  Sun, Ying-Shi
Adobe PDF(939Kb)  |  收藏  |  浏览/下载：921/431  |  提交时间：2018/01/13
Radiomics  
2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer 期刊论文
TRANSLATIONAL ONCOLOGY, 2017, 卷号: 10, 期号: 6, 页码: 886-894
作者:  Shen, Chen;  Liu, Zhenyu;  Guan, Min;  Song, Jiangdian;  Lian, Yucheng;  Wang, Shuo;  Tang, Zhenchao;  Dong, Di;  Kong, Lingfei;  Wang, Meiyun;  Shi, Dapeng;  Tian, Jie
Adobe PDF(859Kb)  |  收藏  |  浏览/下载：488/109  |  提交时间：2018/01/13
Radiomics  
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 40, 期号: 40, 页码: 172-183
作者:  Wang, Shuo;  Zhou, Mu;  Liu, Zaiyi;  Liu, Zhenyu;  Gu, Dongsheng;  Zang, Yali;  Dong, Di;  Gevaert, Olivier;  Tian, Jie
浏览  |  Adobe PDF(3023Kb)  |  收藏  |  浏览/下载：555/222  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis