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Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis 期刊论文
EUROPEAN RADIOLOGY, 2022, 页码: 11
作者:  Zhao, Qin-xian;  He, Xue-lei;  Wang, Kun;  Cheng, Zhi-gang;  Han, Zhi-yu;  Liu, Fang-yi;  Yu, Xiao-ling;  Hui, Zhong;  Yu, Jie;  Chao, An;  Liang, Ping
收藏  |  浏览/下载：163/0  |  提交时间：2023/03/20
Thermal ablation  Colorectal neoplasms  Ultrasound  Deep learning  Recurrence  
Recent developments of the reconstruction in magnetic particle imaging 期刊论文
Visual Computing for Industry, Biomedicine, and Art, 2022, 卷号: 5, 期号: 1
作者:  Yin,Lin;  Li,Wei;  Du,Yang;  Wang,Kun;  Liu,Zhenyu;  Hui,Hui;  Tian,Jie
收藏  |  浏览/下载：186/0  |  提交时间：2022/11/14
Magnetic particle imaging  Image reconstruction  System matrix  X-space  
Linear scheme for the direct reconstruction of noncontact time-domain fluorescence molecular lifetime tomography 期刊论文
APPLIED OPTICS, 2020, 卷号: 59, 期号: 26, 页码: 7961-7967
作者:  Zhang, Peng;  Liu, Jie;  Hui, Hui;  An, Yu;  Wang, Kun;  Yang, Xin;  Tian, Jie
收藏  |  浏览/下载：210/0  |  提交时间：2021/01/07
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载：353/63  |  提交时间：2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 5, 页码: 1429-1437
作者:  Jiang, Shixin;  Liu, Jie;  An, Yu;  Gao, Yuan;  Meng, Hui;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载：271/0  |  提交时间：2020/06/22
Fluorescence  Image reconstruction  Tumors  Reconstruction algorithms  Morphology  Photonics  Inverse problems  Fluorescence molecular tomography  group sparsity  image reconstruction  morphological reconstruction  
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound 期刊论文
EUROPEAN RADIOLOGY, 2020, 卷号: 30, 期号: 4, 页码: 2365-2376
作者:  Liu, Dan;  Liu, Fei;  Xie, Xiaoyan;  Su, Liya;  Liu, Ming;  Xie, Xiaohua;  Kuang, Ming;  Huang, Guangliang;  Wang, Yuqi;  Zhou, Hui;  Wang, Kun;  Lin, Manxia;  Tian, Jie
收藏  |  浏览/下载：248/0  |  提交时间：2020/06/02
Therapeutic chemoembolization  Hepatocellular carcinoma  Ultrasonography  Deep learning  
In vivo three-dimensional evaluation of tumour hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2019, 页码: 12
作者:  Huang, Wenhui;  Wang, Kun;  An, Yu;  Meng, Hui;  Gao, Yuan;  Xiong, Zhiyuan;  Yan, Hao;  Wang, Qian;  Cai, Xuekang;  Yang, Xin;  Zhang, Bin;  Chen, Qiuying;  Yang, Xing;  Tian, Jie;  Zhang, Shuixing
收藏  |  浏览/下载：340/0  |  提交时间：2020/03/30
Nasopharyngeal carcinoma  Tumour hypoxia  Fluorescence molecular tomography  Multispectral optoacoustic tomography  Carbonic anhydrase IX  
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：370/62  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
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：546/126  |  提交时间：2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
Non model-based bioluminescence tomography using a machine-learning reconstruction strategy 期刊论文
Optica, 2018, 卷号: 5, 期号: 11, 页码: 1451-1454
作者:  Gao, Yuan;  Wang, Kun;  An, Yu;  Jiang, Shixin;  Meng, Hui;  Tian, Jie
浏览  |  Adobe PDF(708Kb)  |  收藏  |  浏览/下载：250/30  |  提交时间：2019/04/29
Light  Regularization  Registration  Information  Algorithm  Accuracy