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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：356/59  |  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：669/358  |  提交时间：2021/05/06
deep learning  peritumor  radiomics  
Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases 期刊论文
MEDICAL PHYSICS, 2020, 页码: 10
作者:  Wei, Jingwei;  Cheng, Jin;  Gu, Dongsheng;  Chai, Fan;  Hong, Nan;  Wang, Yi;  Tian, Jie
收藏  |  浏览/下载：221/0  |  提交时间：2021/01/06
colorectal liver metastases  chemotherapy  radiomics  contrast‐  enhanced multidetector computed tomography  deep learning  
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
Adobe PDF(1066Kb)  |  收藏  |  浏览/下载：358/86  |  提交时间：2020/09/07
Contrast-enhanced ultrasound  Hepatocellular carcinoma  Radiomics  Radiofrequency ablation  Surgical resection  
NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 6, 页码: 2213-2222
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2134Kb)  |  收藏  |  浏览/下载：339/72  |  提交时间：2020/08/03
Fluorescence molecular tomography  NIR-II  NIR-I  GWNFL method  
Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 10
作者:  Zhang, Gu-mu-yang;  Han, Yu-qi;  Wei, Jing-wei;  Qi, Ya-fei;  Gu, Dong-sheng;  Lei, Jing;  Yan, Wei-gang;  Xiao, Yu;  Xue, Hua-dan;  Feng, Feng;  Sun, Hao;  Jin, Zheng-yu;  Tian, Jie
收藏  |  浏览/下载：217/0  |  提交时间：2020/09/28
radiomics  magnetic resonance imaging  prostate cancer  Gleason score  
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：366/55  |  提交时间：2020/03/30
Diagnosis  Cytokeratin 19  Hepatocellular carcinoma  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：342/57  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
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：272/79  |  提交时间：2019/09/26
Optimization and Design of Magnetic Ferrite Nanoparticles with Uniform Tumor Distribution for Highly Sensitive MRI/MPI Performance and Improved Magnetic Hyperthermia Therapy 期刊论文
NANO LETTERS, 2019, 卷号: 19, 期号: 6, 页码: 3618-3626
作者:  Du, Yang;  Liu, Xiaoli;  Liang, Qian;  Liang, Xing-Jie;  Tian, Jie
收藏  |  浏览/下载：298/0  |  提交时间：2019/09/30
Magnetic hyperthermia therapy (MHT)  magnetic resonance imaging (MRI)  magnetic particle imaging (MPI)  magnetic ferrite nanoparticles (MFNPs)  theranostics