CASIA OpenIR

浏览/检索结果: 共10条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
作者:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
Adobe PDF(2568Kb)  |  收藏  |  浏览/下载:376/61  |  提交时间:2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载:703/365  |  提交时间:2021/05/06
deep learning  peritumor  radiomics  
Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data 期刊论文
Photoacoustics, 2020, 卷号: 19, 期号: 19, 页码: 100190
作者:  Tong Tong;  Wenhui Huang;  Kun Wang;  Zicong He;  Lin Yin;  Xin Yang;  Shuixing Zhang;  Jie Tian
Adobe PDF(9199Kb)  |  收藏  |  浏览/下载:214/57  |  提交时间:2020/11/02
Deep learning  Photoacoustic tomography  Domain transformation  Medical image reconstruction  
Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients 期刊论文
LIVER CANCER, 2020, 卷号: 9, 期号: 4, 页码: 397-413
作者:  Liu, Fei;  Liu, Dan;  Wang, Kun;  Xie, Xiaohua;  Su, Liya;  Kuang, Ming;  Huang, Guangliang;  Peng, Baogang;  Wang, Yuqi;  Lin, Manxia;  Tian, Jie;  Xie, Xiaoyan
浏览  |  Adobe PDF(1066Kb)  |  收藏  |  浏览/下载:384/97  |  提交时间:2020/09/07
Contrast-enhanced ultrasound  Hepatocellular carcinoma  Radiomics  Radiofrequency ablation  Surgical resection  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载:480/132  |  提交时间:2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
MRI-Based Radiomics Signature: A Potential Biomarker for Identifying Glypican 3-Positive Hepatocellular Carcinoma 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 卷号: 52, 期号: 6, 页码: 1679-1687
作者:  Gu, Dongsheng;  Xie, Yongsheng;  Wei, Jingwei;  Li, Wencui;  Ye, Zhaoxiang;  Zhu, Zhongyuan;  Tian, Jie;  Li, Xubin
Adobe PDF(904Kb)  |  收藏  |  浏览/下载:247/42  |  提交时间:2020/07/20
glypican 3  hepatocellular carcinoma  radiomics  noninvasive  nomogram  
A radiomics-based biomarker for cytokeratin 19 status of hepatocellular carcinoma with gadoxetic acid-enhanced MRI 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 5, 页码: 3004-3014
作者:  Wang, Wentao;  Gu, Dongsheng;  Wei, Jingwei;  Ding, Ying;  Yang, Li;  Zhu, Kai;  Luo, Rongkui;  Rao, Sheng-Xiang;  Tian, Jie;  Zeng, Mengsu
Adobe PDF(998Kb)  |  收藏  |  浏览/下载:384/62  |  提交时间:2020/03/30
Diagnosis  Cytokeratin 19  Hepatocellular carcinoma  
Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
作者:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
浏览  |  Adobe PDF(4570Kb)  |  收藏  |  浏览/下载:280/80  |  提交时间:2019/09/26
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2019, 卷号: 38, 期号: 12, 页码: 2726-2734
作者:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
浏览  |  Adobe PDF(2085Kb)  |  收藏  |  浏览/下载:306/77  |  提交时间:2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
作者:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(5641Kb)  |  收藏  |  浏览/下载:535/124  |  提交时间:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity