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Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 10, 页码: 19
作者:  Wei, Jingwei;  Jiang, Hanyu;  Zeng, Mengsu;  Wang, Meiyun;  Niu, Meng;  Gu, Dongsheng;  Chong, Huanhuan;  Zhang, Yanyan;  Fu, Fangfang;  Zhou, Mu;  Chen, Jie;  Lyv, Fudong;  Wei, Hong;  Bashir, Mustafa R.;  Song, Bin;  Li, Hongjun;  Tian, Jie
Adobe PDF(2568Kb)  |  收藏  |  浏览/下载:378/61  |  提交时间:2021/06/15
hepatocellular carcinoma  microvascular invasion  magnetic resonance imaging  computed tomography  deep learning  
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:273/50  |  提交时间:2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载:298/27  |  提交时间:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study 期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:  Wu, Xiangjun;  Dong, Di;  Zhang, Lu;  Fang, Mengjie;  Zhu, Yongbei;  He, Bingxi;  Ye, Zhaoxiang;  Zhang, Minming;  Zhang, Shuixing;  Tian, Jie
Adobe PDF(3862Kb)  |  收藏  |  浏览/下载:704/366  |  提交时间:2021/05/06
deep learning  peritumor  radiomics  
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:217/57  |  提交时间:2020/11/02
Deep learning  Photoacoustic tomography  Domain transformation  Medical image reconstruction  
Deep Learning for Virtual Histological Staining of Bright-Field Microscopic Images of Unlabeled Carotid Artery Tissue 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2020, 期号: 22, 页码: 1301-1309
作者:  Li, Dan;  Hui, Hui;  Zhang, Yingqian;  Tong, Wei;  Tian, Feng;  Yang, Xin;  Liu, Jie;  Chen, Yundai;  Tian, Jie
浏览  |  Adobe PDF(4159Kb)  |  收藏  |  浏览/下载:282/64  |  提交时间:2020/07/20
Virtual histological staining  Conditional generative adversarial network  Blind evaluation  Bright-field microscopic imaging  
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:295/90  |  提交时间:2020/06/03
adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem  
K-nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Meng, Hui;  Gao, Yuan;  Yang, Xin;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(4698Kb)  |  收藏  |  浏览/下载:299/76  |  提交时间:2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
Metal-Organic Frameworks as a Theranostic Nanoplatform for Combinatorial Chemophotothermal Therapy Adapted to Different Administration 期刊论文
ACS BIOMATERIALS SCIENCE & ENGINEERING, 2020, 卷号: 6, 期号: 2, 页码: 1008-1016
作者:  Shang, Wenting;  Peng, Li;  Guo, Pengyu;  Hui, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(1026Kb)  |  收藏  |  浏览/下载:398/92  |  提交时间:2020/04/07
metal-organic frameworks (MOFs)  intravenous injection  local instillation  photothermal therapy  combination therapy  
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:362/59  |  提交时间:2020/03/30
optical molecular imaging  machine learning  artificial intelligence