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Comparative Study of Indocyanine Green Fluorescence Imaging in Lung Cancer with Near-Infrared-I/II Windows 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2023, 页码: 10
作者:  Mi, Jiahui;  Li, Changjian;  Yang, Feng;  Shi, Xiaojing;  Zhang, Zeyu;  Guo, Lishuang;  Jiang, Guanchao;  Li, Yun;  Wang, Jun;  Yang, Fan;  Hu, Zhenhua;  Zhou, Jian
收藏  |  浏览/下载：70/0  |  提交时间：2024/02/22
Indocyanine green  Near-infrared-II windows  Fluorescence imaging  Lung cancer surgery  Clinical application  
New and effective EGFR-targeted fluorescence imaging technology for intraoperative rapid determination of lung cancer in freshly isolated tissue 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 14
作者:  Li, Changjian;  Mi, Jiahui;  Wang, Yueqi;  Zhang, Zeyu;  Guo, Xiaoyong;  Zhou, Jian;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(4761Kb)  |  收藏  |  浏览/下载：375/87  |  提交时间：2022/11/14
Intraoperative imaging technology  Lung cancer  Fluorescence-labeled antibody probe  Epidermal growth factor receptor  Surgical tumor resection  
Intraoperative near-infrared II window fluorescence imaging-assisted nephron-sparing surgery for complete resection of cystic renal masses 期刊论文
CLINICAL AND TRANSLATIONAL MEDICINE, 2021, 卷号: 11, 期号: 10, 页码: 5
作者:  Cao, Caiguang;  Deng, Shaohui;  Wang, Binshuai;  Shi, Xiaojing;  Ge, Liyuan;  Qiu, Min;  Zhang, Fan;  Lu, Min;  Ma, Lulin;  Chi, Chongwei;  Hu, Zhenhua;  Tian, Jie;  Zhang, Shudong
Adobe PDF(3739Kb)  |  收藏  |  浏览/下载：310/51  |  提交时间：2021/12/28
Smart Self-Assembly Amphiphilic Cyclopeptide-Dye for Near-Infrared Window-II Imaging 期刊论文
ADVANCED MATERIALS, 2021, 页码: 13
作者:  Chen, Hao;  Shou, Kangquan;  Chen, Si;  Qu, Chunrong;  Wang, Zhiming;  Jiang, Lei;  Zhu, Mark;  Ding, Bingbing;  Qian, Kun;  Ji, Aiyan;  Lou, Hongyue;  Tong, Ling;  Hsu, Alexander;  Wang, Yuebing;  Felsher, Dean W.;  Hu, Zhenhua;  Tian, Jie;  Cheng, Zhen
收藏  |  浏览/下载：258/0  |  提交时间：2021/04/06
fluorescence‐  imaging‐  guided tumor surgery  NIR‐  II fluorescence imaging  pH‐  responsive materials  self‐  assembly  tumor imaging  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：344/55  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)