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CASIA OpenIR
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Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction 期刊论文
Physics in Medicine & Biology, 2024, 卷号: 69, 期号: 7
作者:  He,Bingxi;  Sun,Caixia;  Li,Hailin;  Wang,Yongbo;  She,Yunlang;  Zhao,Mengmeng;  Fang,Mengjie;  Zhu,Yongbei;  Wang,Kun;  Liu,Zhenyu;  Wei,Ziqi;  Mu,Wei;  Wang,Shuo;  Tang,Zhenchao;  Wei,Jingwei;  Shao,Lizhi;  Tong,Lixia;  Huang,Feng;  Tang,Mingze;  Guo,Yu;  Zhang,Huimao;  Dong,Di;  Chen,Chang;  Ma,Jianhua;  Tian,Jie
收藏  |  浏览/下载：33/0  |  提交时间：2024/05/30
deep learning  sinogram  CT scans  lung cancer  raw data  
Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma 期刊论文
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:  Fu, Sirui;  Pan, Meiqing;  Zhang, Jie;  Zhang, Hui;  Tang, Zhenchao;  Li, Yong;  Mu, Wei;  Huang, Jianwen;  Dong, Di;  Duan, Chongyang;  Li, Xiaoqun;  Wang, Shuo;  Chen, Xudong;  He, Xiaofeng;  Yan, Jianfeng;  Lu, Ligong;  Tian, Jie
收藏  |  浏览/下载：280/0  |  提交时间：2021/11/03
aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction  
A deep learning radiomics model for preoperative grading in meningioma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 116, 页码: 128-134
作者:  Zhu, Yongbei;  Man, Chuntao;  Gong, Lixin;  Dong, Di;  Yu, Xinyi;  Wang, Shuo;  Fang, Mengjie;  Wang, Siwen;  Fang, Xiangming;  Chen, Xuzhu;  Tian, Jie
Adobe PDF(1336Kb)  |  收藏  |  浏览/下载：432/35  |  提交时间：2019/07/11
Radiomics  Deep learning  Meningioma  Tumor grading  Magnetic resonance imaging  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
作者:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
Adobe PDF(797Kb)  |  收藏  |  浏览/下载：459/139  |  提交时间：2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
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
Adobe PDF(3023Kb)  |  收藏  |  浏览/下载：593/229  |  提交时间：2018/01/08
Lung Nodule Segmentation  Convolutional Neural Networks  Deep Learning  Computer-aided Diagnosis