CASIA OpenIR

浏览/检索结果: 共8条,第1-8条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Oral-administered allomelanin-like nanomedicine with multi-enzyme mimesis and favorable gastrointestinal tolerance for amelioration of acute colitis 期刊论文
APPLIED MATERIALS TODAY, 2024, 卷号: 37, 页码: 14
作者:  Liu, Yu;  Gao, Pengli;  Jia, Xiaohua;  Jiang, Jingying;  Hui, Hui;  Tian, Jie
Adobe PDF(18371Kb)  |  收藏  |  浏览/下载:38/3  |  提交时间:2024/05/30
Colitis  Allomelanin  Pro -inflammatory microenvironment  Oxidative stress  Gastrointestinal tolerance  
New and effective EGFR-targeted fluorescence imaging technology for intraoperative rapid determination of lung cancer in freshly isolated tissue 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 14
作者:  Li, Changjian;  Mi, Jiahui;  Wang, Yueqi;  Zhang, Zeyu;  Guo, Xiaoyong;  Zhou, Jian;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(4761Kb)  |  收藏  |  浏览/下载:419/97  |  提交时间:2022/11/14
Intraoperative imaging technology  Lung cancer  Fluorescence-labeled antibody probe  Epidermal growth factor receptor  Surgical tumor resection  
A Fast and Automated FMT/XCT Reconstruction Strategy Based on Standardized Imaging Space 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 3, 页码: 657-666
作者:  An, Yu;  Bian, Chang;  Yan, Daxiang;  Wang, Hanfan;  Wang, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8285Kb)  |  收藏  |  浏览/下载:349/65  |  提交时间:2022/06/06
Imaging  Image reconstruction  Mice  In vivo  Image segmentation  Finite element analysis  Surface reconstruction  Fluorescence molecular tomography  imaging reconstruction  standardized imaging space  
A Novel Adaptive Parameter Search Elastic Net Method for Fluorescent Molecular Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 5, 页码: 1484-1498
作者:  Wang, Hanfan;  Bian, Chang;  Kong, Lingxin;  An, Yu;  Du, Yang;  Tian, Jie
Adobe PDF(8176Kb)  |  收藏  |  浏览/下载:436/70  |  提交时间:2021/06/15
Image reconstruction  Fluorescence  Probes  Mathematical model  Photonics  Molecular imaging  Biological tissues  Fluorescence molecular tomography  adaptive parameter search  elastic net  
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)  
A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study 期刊论文
Radiotherapy and oncology, 2020, 卷号: 150, 期号: 1, 页码: 73-80
作者:  Zhang, Liwen;  Dong, Di;  Zhang, Wenjuan;  Hao, Xiaohan;  Fang, Mengjie;  Wang, Shuo;  Li, Wuchao;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
浏览  |  Adobe PDF(1185Kb)  |  收藏  |  浏览/下载:282/64  |  提交时间:2020/10/25
Gastric Cancer  
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study 期刊论文
ANNALS OF ONCOLOGY, 2020, 卷号: 31, 期号: 7, 页码: 912-920
作者:  Dong, Di;  Fang, Mengjie;  Tang, Lei;  Shan, Xiuhong;  Gao, Jianbo;  Giganti, Francesco;  Wang, Rongpin;  Chen, Xin;  Wang, Xiaoxiao;  Palumbo, Diego;  Fu, Jia;  Li, Wuchao;  Li, Jing;  Zhong, Lianzhen;  De Cobelli, Francesco;  Ji, Jiafu;  Liu, Zaiyi;  Tian, Jie
浏览  |  Adobe PDF(2209Kb)  |  收藏  |  浏览/下载:438/70  |  提交时间:2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 81-87
作者:  Li, Longfei;  Wang, Ke;  Ma, Xiujian;  Liu, Zhenyu;  Wang, Shuo;  Du, Jiang;  Tian, Kaibing;  Zhou, Xuezhi;  Wei, Wei;  Sun, Kai;  Lin, Yusong;  Wu, Zhen;  Tian, Jie
收藏  |  浏览/下载:381/0  |  提交时间:2019/12/16
Radiomics  Chordoma  Chondrosarcoma  Multiparametric MRI