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Clinically Translatable Solid-State Dye for NIR-II Imaging of Medical Devices 期刊论文
ADVANCED SCIENCE, 2023, 页码: 13
作者:  Li, Deling;  Shi, Hui;  Qi, Qingrong;  Chang, Baisong;  Jiang, Yuanwen;  Qian, Kun;  Guan, Xiudong;  Kang, Peng;  Ma, Ning;  Zhang, Yuan;  Zhang, Zeyu;  Shi, Xiaojing;  Qu, Chunrong;  Wu, Yilei;  Chen, Weiyu;  Chen, Hao;  Li, Baowang;  Chen, Liangpeng;  Li, Ziyang;  Ma, Shunchang;  Xu, Lingyun;  Zhang, Yanrong;  Tian, Jie;  Hu, Zhenhua;  Jia, Wang;  Cheng, Zhen
收藏  |  浏览/下载：126/0  |  提交时间：2023/12/21
aggregates  in vivo imaging  medical devices  NIR-II fluorescence  
Enhanced glypican-3-targeted identification of hepatocellular carcinoma with liver fibrosis by pre-degrading excess fibrotic collagen 期刊论文
Acta Biomaterialia, 2023, 卷号: 158, 页码: 435- 448
作者:  Zhuo, Jiaming;  Wang, Yueqi;  Hui, Hui;  Li, Changjian;  Yang, Junying;  Zhang, Peng;  Fang, Chihua;  Tian, Jie
Adobe PDF(4667Kb)  |  收藏  |  浏览/下载：145/73  |  提交时间：2023/05/04
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：241/48  |  提交时间：2023/03/27
Sparse phase retrieval using a physics-informed neural network for Fourier ptychographic microscopy 期刊论文
OPTICS LETTERS, 2022, 卷号: 47, 期号: 19, 页码: 4909-4912
作者:  Zhang, Z. H. O. N. G. H. U. A.;  Wang, T. I. A. N.;  Feng, S. H. A. O. W. E., I;  Yang, Y. O. N. G. X. I. N.;  Lai, C. H. U. N. H. O. N. G.;  LI, X. I. N. W. E. I.;  Shao, L. I. Z. H. I.;  Jiang, X. I. A. O. M. I. N. G.
收藏  |  浏览/下载：120/0  |  提交时间：2022/11/14
First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas 期刊论文
IEEE Transactions on Biomedical Engineering, 2022, 卷号: 69, 页码: 2404-2413
作者:  Caiguang Cao;  Zeping Jin;  Xiaojing Shi;  Zhe Zhang;  Anqi Xiao;  Junying Yang;  Nan Ji;  Jie Tian;  Zhenhua Hu
Adobe PDF(4444Kb)  |  收藏  |  浏览/下载：126/50  |  提交时间：2023/06/14
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network 会议论文
, Montreal, BC, Canada, 11-17 October 2021
作者:  Shen, Biluo;  Xiao, Anqi;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(235Kb)  |  收藏  |  浏览/下载：180/33  |  提交时间：2022/06/15
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：220/0  |  提交时间：2021/11/03
ferritin nanocage  early theranostics  tumor-associated inflammation  multimodality tumor imaging  drug delivery  
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文
MEDICAL PHYSICS, 2021, 卷号: 48, 期号: 9, 页码: 5017-5028
作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：200/32  |  提交时间：2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer 期刊论文
CANCER IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 1-10
作者:  Wang, Xiaoxiao;  Ding, Yi;  Wang, Siwen;  Dong, Di;  Li, Hailin;  Chen, Jian;  Hu, Hui;  Lu, Chao;  Tian, Jie;  Shan, Xiuhong
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：245/33  |  提交时间：2021/01/06
Lauren classification  Radiomics  Peritumoral analysis  Gastric cancer  Computed tomography  
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2020, 卷号: 128, 期号: 109041, 页码: 9
作者:  Wu, Xiangjun;  Hui, Hui;  Niu, Meng;  Li, Liang;  Wang, Li;  He, Bingxi;  Yang, Xin;  Li, Li;  Li, Hongjun;  Tian, Jie;  Zha, Yunfei
浏览  |  Adobe PDF(2315Kb)  |  收藏  |  浏览/下载：272/43  |  提交时间：2020/07/20
Coronavirus disease 2019  Deep learning  Multi-view model  Computed tomography