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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：285/50  |  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  
A Real-time Multi-functional Framework for Guidewire Morphological and Positional Analysis in Interventional X-ray Fluoroscopy 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 13, 期号: 3, 页码: 657-667
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2854Kb)  |  收藏  |  浏览/下载：288/78  |  提交时间：2020/11/05
Deep learning  Guidewire  X-ray fluoroscopy  Segmentation and localization  Robot-assisted intervention  
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：312/55  |  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  
NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 6, 页码: 2213-2222
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2134Kb)  |  收藏  |  浏览/下载：318/68  |  提交时间：2020/08/03
Fluorescence molecular tomography  NIR-II  NIR-I  GWNFL method  
Pyramid attention recurrent networks for real-time guidewiresegmentation and tracking in intraoperative X-ray fluoroscopy 期刊论文
Computerized Medical Imaging and Graphics, 2020, 卷号: 83, 页码: 101734
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载：187/46  |  提交时间：2022/06/14
Guidewire  Catheter  Segmentation  Deep learning  X-ray fluoroscopy  
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
Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：293/70  |  提交时间：2020/06/22
Gastric cancer  Computed tomography  Radiomics  Deep learning  Prognosis  
Imaging Three-Dimensional Microvascular Networks of Brain with Synchrotron Radiation Microangiography 期刊论文
NEUROSCIENCE BULLETIN, 2020, 卷号: 36, 期号: 4, 页码: 331-332
作者:  Song, Ming
Adobe PDF(145Kb)  |  收藏  |  浏览/下载：194/49  |  提交时间：2020/06/02
A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 3, 页码: 794-803
作者:  Kong, Shihan;  Fang, Xi;  Chen, Xingyu;  Wu, Zhengxing;  Yu, Junzhi
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：273/44  |  提交时间：2020/04/07
Calibration  Cameras  Mathematical model  Optical refraction  Absorption  Nonlinear optics  Optical distortion  Akin triangular  multiobjective optimization  refractive camera model  underwater calibration  underwater measurement  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：242/59  |  提交时间：2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning  
Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
作者:  Li, Jing;  Dong, Di;  Fang, Mengjie;  Wang, Rui;  Tian, Jie;  Li, Hailiang;  Gao, Jianbo
Adobe PDF(1808Kb)  |  收藏  |  浏览/下载：297/42  |  提交时间：2020/03/30
Gastric cancer  Tomography  X-ray computed  Lymph node  Radiomics  Deep learning