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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:313/27  |  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:730/370  |  提交时间:2021/05/06
deep learning  peritumor  radiomics  
Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker 期刊论文
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 卷号: 8, 期号: 2, 页码: 10
作者:  He, Bingxi;  Dong, Di;  She, Yunlang;  Zhou, Caicun;  Fang, Mengjie;  Zhu, Yongbei;  Zhang, Henghui;  Huang, Zhipei;  Jiang, Tao;  Tian, Jie;  Chen, Chang
浏览  |  Adobe PDF(5232Kb)  |  收藏  |  浏览/下载:371/60  |  提交时间:2020/08/24
immunotherapy  lung neoplasms  tumor microenvironment  biomarkers  tumor  biostatistics  
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:501/136  |  提交时间:2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载:358/64  |  提交时间:2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
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:375/62  |  提交时间:2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
Computed Tomography Radiomic Nomogram for Preoperative Prediction of Extrathyroidal Extension in Papillary Thyroid Carcinoma 期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 9
作者:  Chen, Bin;  Zhong, Lianzhen;  Dong, Di;  Zheng, Jianjun;  Fang, Mengjie;  Yu, Chunyao;  Dai, Qi;  Zhang, Liwen;  Tian, Jie;  Lu, Wei;  Jin, Yinhua
Adobe PDF(1219Kb)  |  收藏  |  浏览/下载:355/60  |  提交时间:2019/12/16
thyroid cancer  computed tomography  radiomics  tumor staging  nomograms  
Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 8, 页码: 4177-4187
作者:  Chen, Shuling;  Feng, Shiting;  Wei, Jingwei;  Liu, Fei;  Li, Bin;  Li, Xin;  Hou, Yang;  Gu, Dongsheng;  Tang, Mimi;  Xiao, Han;  Jia, Yingmei;  Peng, Sui;  Tian, Jie;  Kuang, Ming
收藏  |  浏览/下载:288/0  |  提交时间:2019/12/16
Carcinoma  Hepatocellular  Gadolinium ethoxybenzyl DTPA  Magnetic resonance imaging  Immunotherapy  
Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2019, 卷号: 38, 期号: 12, 页码: 2726-2734
作者:  Hui Meng;  Kun Wang;  Yuan Gao;  Yushen Jin;  Xibo Ma;  Jie Tian
浏览  |  Adobe PDF(2085Kb)  |  收藏  |  浏览/下载:317/80  |  提交时间:2019/09/26
Fluorescence Tomography  Multi-modality Fusion  Brain  
Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 3, 页码: 1625-1634
作者:  Niu, Jianxing;  Zhang, Shuaitong;  Ma, Shunchang;  Diao, Jinfu;  Zhou, Wenjianlong;  Tian, Jie;  Zang, Yali;  Jia, Wang
浏览  |  Adobe PDF(1261Kb)  |  收藏  |  浏览/下载:407/85  |  提交时间:2019/07/12
Pituitary adenomas  Cavernous sinus  Neoplasm invasion  Nomogram  Support vector machine