CASIA OpenIR

浏览/检索结果: 共9条,第1-9条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Non-invasive decision support for NSCLC treatment using PET/CT radiomics 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:  Mu, Wei;  Jiang, Lei;  Zhang, JianYuan;  Shi, Yu;  Gray, Jhanelle E.;  Tunali, Ilke;  Gao, Chao;  Sun, Yingying;  Tian, Jie;  Zhao, Xinming;  Sun, Xilin;  Gillies, Robert J.;  Schabath, Matthew B.
收藏  |  浏览/下载:234/0  |  提交时间:2021/01/07
Prediction of clinically relevant Pancreatico-enteric Anastomotic Fistulas after Pancreatoduodenectomy using deep learning of Preoperative Computed Tomography 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 21, 页码: 9779-9788
作者:  Mu, Wei;  Liu, Chang;  Gao, Feng;  Qi, Yafei;  Lu, Hong;  Liu, Zaiyi;  Zhang, Xianyi;  Cai, Xiaoli;  Ji, Ruo Yun;  Hou, Yang;  Tian, Jie;  Shi, Yu
收藏  |  浏览/下载:230/0  |  提交时间:2020/09/21
Pancreatic fistula  fistula risk score  pancreatoduodenectomy  computed tomography (CT)  deep learning  
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  
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:453/74  |  提交时间:2020/07/20
deep learning  locally advanced gastric cancer  lymph node metastasis  radiomic nomogram  
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, D.;  Fang, M. -J.;  Tang, L.;  Shan, X. -H.;  Gao, J. -B.;  Giganti, F.;  Wang, R. -P.;  Chen, X.;  Wang, X. -X.;  Palumbo, D.;  Fu, J.;  Li, W. -C.;  Li, J.;  Zhong, L. -Z.;  De Cobelli, F.;  Ji, J. -F.;  Liu, Z. -Y.;  Tian, J.
收藏  |  浏览/下载:277/0  |  提交时间:2020/07/20
Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score 期刊论文
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2020, 页码: 12
作者:  Hu, Wenchao;  Wu, Xiangjun;  Dong, Di;  Cui, Long-Biao;  Jiang, Min;  Zhang, Jibin;  Wang, Yabin;  Wang, Xinjiang;  Gao, Lei;  Tian, Jie;  Cao, Feng
收藏  |  浏览/下载:232/0  |  提交时间:2020/07/06
Coronary artery disease  CT angiography  Radiomics  Myocardial ischaemia  
Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 5, 页码: 1429-1437
作者:  Jiang, Shixin;  Liu, Jie;  An, Yu;  Gao, Yuan;  Meng, Hui;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载:289/0  |  提交时间:2020/06/22
Fluorescence  Image reconstruction  Tumors  Reconstruction algorithms  Morphology  Photonics  Inverse problems  Fluorescence molecular tomography  group sparsity  image reconstruction  morphological reconstruction  
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:313/81  |  提交时间:2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 9
作者:  Wang, Tao;  Gao, Tingting;  Guo, Hua;  Wang, Yubo;  Zhou, Xiaobo;  Tian, Jie;  Huang, Liyu;  Zhang, Ming
收藏  |  浏览/下载:276/0  |  提交时间:2020/04/07
Cervical cancer  Parametrial invasion  Nomogram  Magnetic resonance imaging