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Regulation of hepatic differentiation of human embryonic stem cells by calcium silicate extracts for liver injury repairing 期刊论文
APPLIED MATERIALS TODAY, 2020, 卷号: 20, 页码: 15
作者:  Zheng, Lu;  Li, Dongyuan;  Zhang, Fan;  Xing, Min;  Wang, Xiaoya;  Jia, Xiaohua;  Shu, Xinyu;  Li, Peiwen;  Li, Shouqin;  Chang, Jiang;  Long, Mian
Adobe PDF(3951Kb)  |  收藏  |  浏览/下载：197/7  |  提交时间：2021/03/08
Human embryonic stem cells  Hepatic differentiation  Hepatocyte-like cells  Calcium silicate extracts  Liver injury repair  
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：365/76  |  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  
Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data 期刊论文
Photoacoustics, 2020, 卷号: 19, 期号: 19, 页码: 100190
作者:  Tong Tong;  Wenhui Huang;  Kun Wang;  Zicong He;  Lin Yin;  Xin Yang;  Shuixing Zhang;  Jie Tian
Adobe PDF(9199Kb)  |  收藏  |  浏览/下载：245/70  |  提交时间：2020/11/02
Deep learning  Photoacoustic tomography  Domain transformation  Medical image reconstruction  
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)
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  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：328/128  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation 期刊论文
NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE, 2020, 卷号: 27, 页码: 9
作者:  Jia, Xiaohua;  Fan, Kelong;  Zhang, Ruofei;  Zhang, Dan;  Zhang, Jianjun;  Gao, Yuan;  Zhang, Tao;  Li, Wanjun;  Li, Junlai;  Yan, Xiyun;  Tian, Jie
Adobe PDF(1779Kb)  |  收藏  |  浏览/下载：250/8  |  提交时间：2020/08/21
Glioma  Molecular imaging  Transferrin receptor 1  Nanoparticles  
Edge enhancement through scattering media enabled by optical wavefront shaping 期刊论文
PHOTONICS RESEARCH, 2020, 卷号: 8, 期号: 6, 页码: 954-962
作者:  Li, Zihao;  Yu, Zhipeng;  Hui, Hui;  Li, Huanhao;  Zhong, Tianting;  Liu, Honglin;  Lai, Puxiang
浏览  |  Adobe PDF(1627Kb)  |  收藏  |  浏览/下载：554/270  |  提交时间：2020/07/06
Wavefront shaping  
Reconstruction for Fluorescence Molecular Tomography via Adaptive Group Orthogonal Matching Pursuit 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 卷号: 67, 期号: 10.1109/TBME.2019.2963815, 页码: 1-12
作者:  Kong, Lingxin;  An, Yu;  Liang, Qian;  Yin, Lin;  Du, Yang;  Tian, Jie
浏览  |  Adobe PDF(4495Kb)  |  收藏  |  浏览/下载：325/99  |  提交时间：2020/06/03
adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载：392/66  |  提交时间：2020/03/30
optical molecular imaging  machine learning  artificial intelligence