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CASIA OpenIR
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Identifying Sinus Invasion in Meningioma Patients before Surgery with Deep Learning 会议论文
, 线上, 2022-4
作者:  Qi Qiu;  Kai Sun;  Jing Zhang;  Panpan Liu;  Liang Wang;  Junting Zhang;  Junlin Zhou;  Zhenyu Liu;  Jie Tian
Adobe PDF(277Kb)  |  收藏  |  浏览/下载：193/53  |  提交时间：2023/06/28
Deep learning  Meningioma  Sinus invasion  Multimodal fusion  
A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study 期刊论文
EBIOMEDICINE, 2020, 卷号: 58, 页码: 11
作者:  Zhang, Jing;  Yao, Kuan;  Liu, Panpan;  Liu, Zhenyu;  Han, Tao;  Zhao, Zhiyong;  Cao, Yuntai;  Zhang, Guojin;  Zhang, Junting;  Tian, Jie;  Zhou, Junlin
收藏  |  浏览/下载：242/0  |  提交时间：2020/12/04
Meningioma  Brain invasion  Radiomics  Magnetic resonance images  
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas 期刊论文
JOURNAL OF NEURO-ONCOLOGY, 2018, 卷号: 140, 期号: 2, 页码: 297-306
作者:  Han, Yuqi;  Xie, Zhen;  Zang, Yali;  Zhang, Shuaitong;  Gu, Dongsheng;  Zhou, Mu;  Gevaert, Olivier;  Wei, Jingwei;  Li, Chao;  Chen, Hongyan;  Du, Jiang;  Liu, Zhenyu;  Dong, Di;  Tian, Jie;  Zhou, Dabiao
浏览  |  Adobe PDF(2365Kb)  |  收藏  |  浏览/下载：537/154  |  提交时间：2019/07/12
Lower-grade glioma  1p19q Co-deletion  Prediction  Radiomics  Magnetic resonance imaging  
Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 100-108
作者:  Tang, Zhenchao;  Zhang, Xiao-Yan;  Liu, Zhenyu;  Li, Xiao-Ting;  Shi, Yan-Jie;  Wang, Shou;  Fang, Mengjie;  Shen, Chen;  Dong, Enqing;  Sun, Ying-Shi;  Tian, Jie
Adobe PDF(2101Kb)  |  收藏  |  浏览/下载：373/54  |  提交时间：2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support  
A Multi-view Deep Convolutional Neural Networks for Lung Nodule Segmentation 会议论文
, Jeju Island, Korea, 2017-7
作者:  Wang, Shuo;  Zhou, Mu;  Gevaert, Olivier;  Tang, Zhenchao;  Dong, Di;  Liu, Zhenyu;  Tian, Jie
浏览  |  Adobe PDF(962Kb)  |  收藏  |  浏览/下载：400/162  |  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
浏览  |  Adobe PDF(2057Kb)  |  收藏  |  浏览/下载：1020/624  |  提交时间：2019/04/30
Radiomics  Medical Imaging  Precision Diagnosis And Treatment  Oncology  
Radiomics analysis allows for precise prediction of epilepsy in patients with low-grade gliomas 期刊论文
Neuroimage:Clinical, 2018, 期号: 19, 页码: 271-278
作者:  Liu zhenyu;  Wang Yinyan;  Liu Xing;  Du Yang;  Tang zhenchao;  Wang Kai;  Wei Jingwei;  Dong Di;  Zang yali;  Dai Jianping;  Jiang Tao;  Tian Jie
浏览  |  Adobe PDF(1730Kb)  |  收藏  |  浏览/下载：333/109  |  提交时间：2019/02/18
Low Grade Gliomas, Radiomics, Epilepsy, Elastic Net, T2wi  
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：433/99  |  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：384/72  |  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：583/228  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis