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Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics 期刊论文
nature neuroscience, 2024, 页码: 1-5
作者:  Shang Chun feng;  Wang Yu fan;  Zhao Mei ting;  Fan Qiu xiang;  Zhao Shan;  Qian Yu;  Xu Sheng jin;  Mu Yu;  Hao Jie;  Du Jiu lin
Adobe PDF(2158Kb)  |  收藏  |  浏览/下载：60/23  |  提交时间：2024/06/11
Renal clearing carbon dots-based near-infrared fluorescent super-small nanoprobe for renal imaging 期刊论文
CARBON, 2023, 卷号: 201, 页码: 805-814
作者:  Gao, Pengli;  Hui, Hui;  Guo, Chanjuan;  Liu, Yu;  Su, Ya;  Huang, Xiazi;  Guo, Kunxiong;  Shang, Wenting;  Jiang, Jingying;  Tian, Jie
收藏  |  浏览/下载：134/0  |  提交时间：2023/11/17
Near-infrared fluorescent carbon dots  Super-small size  Renal clearance  Renal imaging  
Lineage Tracing and Molecular Real-Time Imaging of Cancer Stem Cells 期刊论文
BIOSENSORS-BASEL, 2022, 卷号: 12, 期号: 9, 页码: 13
作者:  Jia, Xiaohua;  Shen, Guodong;  Jia, Jia;  Zhang, Yan;  Zhang, Dan;  Li, Wanjun;  Zhang, Jianjun;  Huang, Xinglu;  Tian, Jie
Adobe PDF(580Kb)  |  收藏  |  浏览/下载：277/13  |  提交时间：2022/11/14
lineage tracing  molecular imaging  cancer stem cells  
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：318/59  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
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：307/58  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Risk perception and intelligent decision in complex social information network 期刊论文
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 12
作者:  Wu, Desheng;  Song, Jingxiu;  Bian, Yuan;  Zheng, Xiaolong;  Zhang, Zhu
收藏  |  浏览/下载：322/0  |  提交时间：2021/03/08
Complex information network  Risk perception  Intelligent decision making  Integrated platform  
The first visualization of chemotherapy-induced tumor apoptosis via magnetic particle imaging in a mouse model 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 19, 页码: 11
作者:  Liang, Xin;  Wang, Kun;  Du, Jiangfeng;  Tian, Jie;  Zhang, Hui
收藏  |  浏览/下载：227/0  |  提交时间：2021/01/07
magnetic particle imaging  apoptosis  nanoparticle  preclinical  mice  tumor  
Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 10, 页码: 3207-3217
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Yang, Junying;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2176Kb)  |  收藏  |  浏览/下载：362/76  |  提交时间：2021/01/07
Image reconstruction  Imaging  Mathematical model  Shape  Slabs  Iterative methods  Luminescence  Cerenkov luminescence tomography  sparse reconstruction  inverse problem  tumor  
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences 期刊论文
Medical Image Analysis, 2020, 卷号: 65, 期号: 65, 页码: 101793
作者:  Fei Liu;  Dan Liu;  Jie Tian;  Xiaoyan Xie;  Xin Yang;  Wang K(王坤)
浏览  |  Adobe PDF(3180Kb)  |  收藏  |  浏览/下载：220/61  |  提交时间：2020/11/02
Ultrasound sequence  Respiratory motion estimation  Cascaded Siamese network  One-shot deformable convolution  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：512/140  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology