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Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images 会议论文
, Mexico, Oct 31 - Nov 4, 2021
作者:  Wang Siwen;  Dong Di;  Li Hailin;  Feng Caizhen;  Wang Yi;  Tian Jie
Adobe PDF(1071Kb)  |  收藏  |  浏览/下载：182/39  |  提交时间：2022/06/14
Detection of the common bile duct in difficult bile duct exploration using indocyanine green fluorescence imaging: A case report 期刊论文
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2021, 卷号: 36, 页码: 3
作者:  Wang, Piao;  Fang, Cheng;  Lin, Hao-min;  Li, Xu-jia;  Luo, De;  Gan, Yu;  Yang, Xiao-li;  Tian, Jie;  Li, Bo;  Su, Song
收藏  |  浏览/下载：187/0  |  提交时间：2021/12/28
Indocyanine green  Fluorescence imaging  Biliary tract exploration  Case report  
The preparation of SiC ceramic photosensitive slurry for rapid stereolithography 期刊论文
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY, 2021, 卷号: 41, 期号: 15, 页码: 7516-7524
作者:  Tang, Jie;  Guo, Xiaotian;  Chang, Haotian;  Hu, Kehui;  Shen, Zhen;  Wang, Weixing;  Liu, Meng;  Wei, Yuquan;  Huang, Zhengren;  Yang, Yong
收藏  |  浏览/下载：165/0  |  提交时间：2021/12/28
Stereolithography  Graded SiO2  3D printing  SiC ceramic slurry  
Trends in the manifestations of 9754 gout patients in a Chinese clinical center: A 10-year observational study 期刊论文
JOINT BONE SPINE, 2021, 卷号: 88, 期号: 6, 页码: 6
作者:  Gao, Qianhui;  Cheng, Xiaoyu;  Merriman, Tony R.;  Wang, Can;  Cui, Lingling;  Zhang, Hui;  Sun, Wenyan;  Wang, Jing;  Wang, Feiyue;  Li, Changgui;  Lu, Jie
收藏  |  浏览/下载：187/0  |  提交时间：2021/12/28
Gout  Early-onset  Risk factors  
A Hierarchical Modeling Method for Complex Engineering System with Hybrid Dynamics 会议论文
, Orlando, Florida, USA, 2021-12-5
作者:  Wang RH(王瑞华);  Wang XL(王学雷);  Yang JC(杨杰超);  Kang LW(康丽雯)
Adobe PDF(2562Kb)  |  收藏  |  浏览/下载：182/46  |  提交时间：2022/07/05
Grasp detection via visual rotation object detection and point cloud spatial feature scoring 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 6, 页码: 15
作者:  Wang, Jie;  Li, Shuxiao
收藏  |  浏览/下载：180/0  |  提交时间：2021/12/28
Robotic grasp detection  point cloud  object detection  deep learning  
Separate Control Strategy for a Biomimetic Gliding Robotic Fish 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 10
作者:  Dong, Huijie;  Wu, Zhengxing;  Zhang, Pengfei;  Wang, Jian;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：189/0  |  提交时间：2022/01/27
Robot kinematics  Attitude control  Buoyancy  Hydrodynamics  Control systems  Tracking  Torque  Biomimetic robot  gliding robotic fish  motion control  pitch control  underwater robotics  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：284/55  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：258/46  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:  Zhang, Liwen;  Dong, Di;  Zhong, Lianzhen;  Li, Cong;  Hu, Chaoen;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：238/0  |  提交时间：2021/12/28
Hazards  Feature extraction  Computed tomography  Cancer  Radiomics  Indexes  Bioinformatics  Overall survival  gastric cancer  multi-level  CT image  deep learning