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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：338/50  |  提交时间：2023/03/20
MsIFT: Multi-Source Image Fusion Transformer 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 16, 页码: 19
作者:  Zhang, Xin;  Jiang, Hangzhi;  Xu, Nuo;  Ni, Lei;  Huo, Chunlei;  Pan, Chunhong
Adobe PDF(4788Kb)  |  收藏  |  浏览/下载：304/80  |  提交时间：2022/11/14
transformer  multi-source image fusion  non-local  
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：227/0  |  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)  
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：175/0  |  提交时间：2022/07/25
Glioblastoma  Multi-modality  Molecular imaging  Dual-target  Theranostic  
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：313/45  |  提交时间：2022/06/10
Recurrent nasopharyngeal carcinoma  Survival analysis  Radiomics  Deep learning