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Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：285/49  |  提交时间：2023/03/20
Optical magnetic multimodality imaging of plectin-1-targeted imaging agent for the precise detection of orthotopic pancreatic ductal adenocarcinoma in mice 期刊论文
EBIOMEDICINE, 2022, 卷号: 80, 页码: 16
作者:  Zhang, Wenjia;  Liang, Xiaolong;  Zhu, Liang;  Zhang, Xinyu;  Jin, Zhengyu;  De, Yang;  Tian, Jie;  Xue, Huadan
收藏  |  浏览/下载：197/0  |  提交时间：2022/09/19
Pancreatic ductal adenocarcinoma (PDAC)  Magnetic particle imaging (MPI)  Superparamagnetic iron oxide nanoparticles (SPIONs)  Fluorescence molecular imaging (FMI)  Magnetic resonance imaging (MRI)  
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:  Zhao, Xun;  Liang, Yu-Jing;  Zhang, Xu;  Wen, Dong-Xiang;  Fan, Wei;  Tang, Lin-Quan;  Dong, Di;  Tian, Jie;  Mai, Hai-Qiang
Adobe PDF(1720Kb)  |  收藏  |  浏览/下载：291/43  |  提交时间：2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning  
A novel co-targeting strategy of EGFR/SEC61G for multi-modality fluorescence/MR/photoacoustic imaging of glioblastoma 期刊论文
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE, 2022, 卷号: 40, 页码: 11
作者:  Huang, Qi;  Wang, Kun;  Wanggou, Siyi;  Tian, Jie;  Li, Xuejun
收藏  |  浏览/下载：163/0  |  提交时间：2022/07/25
Glioblastoma  Multi-modality  Molecular imaging  Dual-target  Theranostic  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：258/46  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Ferritin nanocages for early theranostics of tumors via inflammation-enhanced active targeting 期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2021, 页码: 13
作者:  Jiang, Bing;  Jia, Xiaohua;  Ji, Tianjiao;  Zhou, Meng;  He, Jiuyang;  Wang, Kun;  Tian, Jie;  Yan, Xiyun;  Fan, Kelong
收藏  |  浏览/下载：232/0  |  提交时间：2021/11/03
ferritin nanocage  early theranostics  tumor-associated inflammation  multimodality tumor imaging  drug delivery  
Gaussian weighted block sparse Bayesian learning strategy based on K-means clustering algorithm for accurate bioluminescence tomography in glioma 会议论文
, 线上, 2021.2.15-2021.2.19
作者:  Yin, Lin;  Wang, Kun;  Tian, Jie
Adobe PDF(6162Kb)  |  收藏  |  浏览/下载：167/15  |  提交时间：2021/05/31
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  收藏  |  浏览/下载：247/46  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
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  
基于光源邻域信息的激发荧光断层重建算法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2020
作者:  孟慧
Adobe PDF(5883Kb)  |  收藏  |  浏览/下载：263/3  |  提交时间：2020/05/28
光学分子影像  激发荧光断层成像  非局部全变分正则先验  自适应高 斯权重拉普拉斯正则先验  k 近邻局部连接网络