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Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images 期刊论文
JAMA NETWORK OPEN, 2022, 卷号: 5, 期号: 6, 页码: 11
作者:  Zhang, Liwen;  Dong, Di;  Sun, Yongqing;  Hu, Chaoen;  Sun, Congxin;  Wu, Qingqing;  Tian, Jie
Adobe PDF(1293Kb)  |  收藏  |  浏览/下载：265/8  |  提交时间：2022/07/25
Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics 期刊论文
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12, 页码: 10
作者:  Yan, Yang;  Liu, Yujia;  Tao, Jianhua;  Li, Zheng;  Qu, Xiaoxia;  Guo, Jian;  Xian, Junfang
收藏  |  浏览/下载：236/0  |  提交时间：2022/06/10
inverted papilloma (IP)  squamous cell carcinoma  sinonasal cancer  radiomics  magnetic resonance imaging  
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：294/52  |  提交时间：2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Identification of Predominant Histopathological Growth Patterns of Colorectal Liver Metastasis by Multi-Habitat and Multi-Sequence Based Radiomics Analysis 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 12
作者:  Han, Yuqi;  Chai, Fan;  Wei, Jingwei;  Yue, Yali;  Cheng, Jin;  Gu, Dongsheng;  Zhang, Yinli;  Tong, Tong;  Sheng, Weiqi;  Hong, Nan;  Ye, Yingjiang;  Wang, Yi;  Tian, Jie
收藏  |  浏览/下载：268/0  |  提交时间：2020/12/04
colorectal cancer  liver metastasis  magnetic resonance  histopathologic growth patterns  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：229/60  |  提交时间：2020/11/02
Deep learning  Photoacoustic tomography  Domain transformation  Medical image reconstruction  
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：356/64  |  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  
Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 11
作者:  Wei, Jingwei;  Li, Lianwang;  Han, Yuqi;  Gu, Dongsheng;  Chen, Qian;  Wang, Junmei;  Li, Runting;  Zhan, Jiong;  Tian, Jie;  Zhou, Dabiao
收藏  |  浏览/下载：268/0  |  提交时间：2020/07/06
intracranial hemangiopericytoma  meningioma  diagnosis  magnetic resonance imaging  radiomics  
Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 13
作者:  Zhou, Xuezhi;  Yi, Yongju;  Liu, Zhenyu;  Zhou, Zhiyang;  Lai, Bingjia;  Sun, Kai;  Li, Longfei;  Huang, Liyu;  Feng, Yanqiu;  Cao, Wuteng;  Tian, Jie
收藏  |  浏览/下载：291/0  |  提交时间：2020/06/22
lymph node metastasis  prediction  neoadjuvant therapy  locally advanced rectal cancer  radiomics  
Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 10
作者:  Tian, Xin;  Sun, Caixia;  Liu, Zhenyu;  Li, Weili;  Duan, Hui;  Wang, Lu;  Fan, Huijian;  Li, Mingwei;  Li, Pengfei;  Wang, Lihui;  Liu, Ping;  Tian, Jie;  Chen, Chunlin
收藏  |  浏览/下载：309/0  |  提交时间：2020/04/07
locally advanced cervical cancer (LACC)  radiomics  neoadjuvant chemotherapy  response prediction  CT  
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：410/95  |  提交时间：2020/04/07
metal-organic frameworks (MOFs)  intravenous injection  local instillation  photothermal therapy  combination therapy