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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：297/0  |  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：269/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging  
Automated detection of hippocampal sclerosis using clinically empirical and radiomics features 期刊论文
EPILEPSIA, 2019, 卷号: 60, 期号: 12, 页码: 2519-2529
作者:  Mo, Jiajie;  Liu, Zhenyu;  Sun, Kai;  Ma, Yanshan;  Hu, Wenhan;  Zhang, Chao;  Wang, Yao;  Wang, Xiu;  Liu, Chang;  Zhao, Baotian;  Zhang, Kai;  Zhang, Jianguo;  Tian, Jie
收藏  |  浏览/下载：233/0  |  提交时间：2020/08/03
clinical features  hippocampal sclerosis  MRI negative  radiomics  
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：528/156  |  提交时间：2019/04/30
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 7, 页码: 2772-2778
作者:  Zhu, Xinzhong;  Dong, Di;  Chen, Zhendong;  Fang, Mengjie;  Zhang, Liwen;  Song, Jiangdian;  Yu, Dongdong;  Zang, Yali;  Liu, Zhenyu;  Shi, Jingyun;  Tian, Jie
Adobe PDF(896Kb)  |  收藏  |  浏览/下载：288/32  |  提交时间：2018/10/10
Aenocarcinoma  Diagnostic Imaging  Regression Analysis  Roc Curve  Squamous Cell Carcinoma  
Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer? 期刊论文
EUROPEAN RADIOLOGY, 2018, 卷号: 28, 期号: 5, 页码: 2058-2067
作者:  Yang, Lei;  Dong, Di;  Fang, Mengjie;  Zhu, Yongbei;  Zang, Yali;  Liu, Zhenyu;  Zhang, Hongmei;  Ying, Jianming;  Zhao, Xinming;  Tian, Jie
Adobe PDF(1265Kb)  |  收藏  |  浏览/下载：289/23  |  提交时间：2018/10/10
Colorectal Neoplasms  Adenocarcinoma  Mutation  Diagnostic Imaging  Roc Curve  
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy 期刊论文
CLINICAL CANCER RESEARCH, 2018, 卷号: 24, 期号: 15, 页码: 3583-3592
作者:  Song, Jiangdian;  Shi, Jingyun;  Dong, Di;  Fang, Mengjie;  Zhong, Wenzhao;  Wang, Kun;  Wu, Ning;  Huang, Yanqi;  Liu, Zhenyu;  Cheng, Yue;  Gan, Yuncui;  Zhou, Yongzhao;  Zhou, Ping;  Chen, Bojiang;  Liang, Changhong;  Liu, Zaiyi;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1305Kb)  |  收藏  |  浏览/下载：394/89  |  提交时间：2018/10/10
EGFR-TKI therapy  
Diagnosis of Distant Metastasis of Lung Cancer: Based on Clinical and Radiomic Features 期刊论文
TRANSLATIONAL ONCOLOGY, 2018, 卷号: 11, 期号: 1, 页码: 31-36
作者:  Zhou, Hongyu;  Dong, Di;  Chen, Bojiang;  Fang, Mengjie;  Cheng, Yue;  Gan, Yuncun;  Zhang, Rui;  Zhang, Liwen;  Zang, Yali;  Liu, Zhenyu;  Zheng, Hairong;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(626Kb)  |  收藏  |  浏览/下载：348/63  |  提交时间：2018/01/09
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