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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study 期刊论文
ULTRASCHALL IN DER MEDIZIN, 2023, 页码: 11
作者:  Zhu, Yangyang;  Meng, Zheling;  Wu, Hao;  Fan, Xiao;  Lv, Wenhao;  Tian, Jie;  Wang, Kun;  Nie, Fang
收藏  |  浏览/下载：38/0  |  提交时间：2024/02/22
Multimodal Ultrasound  Metastatic Cervical Lymphadenopathy  Deep Learning  Primary Cancer Sites  
MSMFN: An ultrasound based multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy 期刊论文
IEEE Transactions on Medical Imaging, 2022, 页码: 1-13
作者:  Zheling, Meng;  Yangyang, Zhu;  Wenjing, Pang;  Jie, Tian;  Fang, Nie;  Kun, Wang
Adobe PDF(3049Kb)  |  收藏  |  浏览/下载：246/48  |  提交时间：2023/03/27
Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy 期刊论文
BMC Medicine, 2022, 卷号: 20, 期号: 1, 页码: 1-13
作者:  Zhu,Yangyang;  Meng,Zheling;  Fan,Xiao;  Duan,Yin;  Jia,Yingying;  Dong,Tiantian;  Wang,Yanfang;  Song,Juan;  Tian,Jie;  Wang,Kun;  Nie,Fang
Adobe PDF(3297Kb)  |  收藏  |  浏览/下载：223/33  |  提交时间：2022/09/19
Deep learning  Cervical lymphadenopathy  Ultrasound  Reactive hyperplasia  Tuberculous lymphadenitis  Lymphoma  Metastatic carcinoma  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：283/55  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载：179/34  |  提交时间：2021/06/16
molecular imaging, machine learning, artificial intelligence  
Construction of a novel bispecific fusion protein to enhance targeting for pancreatic cancer imaging 期刊论文
BIOMATERIALS, 2020, 期号: 255, 页码: 120161
作者:  Wang, Qian;  Yan, Hao;  Wang, Zihua;  Li, Zhangfu;  Li, Dan;  Li, Zheng;  Wang, Kun;  Tian, Jie;  Zhao, Xinming
浏览  |  Adobe PDF(3211Kb)  |  收藏  |  浏览/下载：291/59  |  提交时间：2020/09/07
Bispecific targeting  Fusion protein  Antibody  Molecular imaging  Pancreatic cancer  
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：316/56  |  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  
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：268/76  |  提交时间：2019/09/26
Boosting Postsurgical Outcomes of Orthotopic Hepatocellular Carcinoma via an EpCAM-Targeting Theranostic Nanoparticle 期刊论文
PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION, 2019, 卷号: 36, 期号: 8, 页码: 12
作者:  Hu, Min;  Wang, Kun;  Shang, Wenting;  Han, Ziyu;  Jiang, Hongmei;  Fang, Chihua;  Tian, Jie
浏览  |  Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：314/68  |  提交时间：2019/09/26
fluorescence-guided surgery  hepatocellular carcinoma  intraoperative photothermal therapy  triple-modality imaging  
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：498/121  |  提交时间：2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity