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A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：334/55  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
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：217/0  |  提交时间：2021/01/07
First-trimester screening for trisomy 21 via an individualized nomogram 期刊论文
Ultrasound in Obstetrics and Gynecology, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Sun, Yongqing;  Zhang, Liwen;  Dong, Di;  Li, Xiaofei;  Wang, Jingjing;  Yin, Chenghong;  C. Poon, Liona;  Tian, Jie;  Wu, Qingqing
浏览  |  Adobe PDF(6354Kb)  |  收藏  |  浏览/下载：168/49  |  提交时间：2020/10/25
trisomy 21  
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:  Meng, Lingwei;  Dong, Di;  Chen, Xin;  Fang, Mengjie;  Wang, Rongpin;  Li, Jing;  Liu, Zaiyi;  Tian, Jie
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载：290/69  |  提交时间：2020/10/25
Computed tomography (CT)  
Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study 期刊论文
MEDICAL PHYSICS, 2020, 卷号: 47, 期号: 10, 页码: 4862-4871
作者:  Wang, Siwen;  Feng, Caizhen;  Dong, Di;  Li, Hailin;  Zhou, Jing;  Ye, Yingjiang;  Liu, Zaiyi;  Tian, Jie;  Wang, Yi
Adobe PDF(2043Kb)  |  收藏  |  浏览/下载：341/47  |  提交时间：2020/09/07
disease-free survival  gastric cancer  multidetector-row computed tomography  risk stratification  radiomics  
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：482/133  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Fang, Mengjie;  Kan, Yangyang;  Dong, Di;  Yu, Tao;  Zhao, Nannan;  Jiang, Wenyan;  Zhong, Lianzhen;  Hu, Chaoen;  Luo, Yahong;  Tian, Jie
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：355/58  |  提交时间：2020/06/22
cervical cancer  MRI  radiomics  treatment response prediction  concurrent chemotherapy and radiation therapy  precision medicine  
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2020, 卷号: 145, 期号: 1, 页码: 13-20
作者:  Zhang, Wenjuan;  Fang, Mengjie;  Dong, Di;  Wang, Xiaoxiao;  Ke, Xiaoai;  Zhang, Liwen;  Hu, Chaoen;  Guo, Lingyun;  Guan, Xiaoying;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：335/80  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
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  
乳腺癌近红外激发荧光成像方法研究和临床应用探索 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  张崇
Adobe PDF(5418Kb)  |  收藏  |  浏览/下载：339/4  |  提交时间：2020/06/03
近红外激发荧光成像  手术导航  图像处理  乳腺癌