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Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：445/67  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
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：372/67  |  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  
Understanding and Predicting Users' Rating Behavior: A Cognitive Perspective 期刊论文
INFORMS JOURNAL ON COMPUTING, 2020, 卷号: 32, 期号: 4, 页码: 996-1011
作者:  Li, Qiudan;  Zeng, Daniel Dajun;  Xu, David Jingjun;  Liu, Ruoran;  Yao, Riheng
收藏  |  浏览/下载：232/0  |  提交时间：2021/03/02
rating behavior analysis  cognitive theory  review content  aspect rating  rating prediction  
Characterizing Social Media Messages Related to Underage JUUL E-Cigarette Buying and Selling: Cross-Sectional Analysis of Reddit Subreddits 期刊论文
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 卷号: 22, 期号: 7, 页码: 13
作者:  Liu, Hejing;  Li, Qiudan;  Zhan, Yongcheng;  Zhang, Zhu;  Zeng, Daniel D.;  Leischow, Scott J.
Adobe PDF(149Kb)  |  收藏  |  浏览/下载：573/121  |  提交时间：2021/01/07
JUUL  e-cigarette  Reddit  cross-sectional analysis  electronic nicotine delivery system  underage JUUL use  
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:  Qi, Yimeng;  Jin, Long;  Wang, Yaonan;  Xiao, Lin;  Zhang, Jiliang
收藏  |  浏览/下载：232/0  |  提交时间：2021/01/07
Computational modeling  Convergence  Mathematical model  Recurrent neural networks  Perturbation methods  Robots  Numerical models  Complex domain  discrete-time neural dynamics (DTND)  quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)  quadratic programming (QP)  
Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 12, 期号: 无, 页码: 11
作者:  Wang, Jiaxing;  Wang, Weiqun;  Ren, Shixin;  Shi, Weiguo;  Hou, Zeng-Guang
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：355/82  |  提交时间：2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation  
Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images 期刊论文
Theranostics, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Tian, Panwen;  He, Bingxi;  Dong, Di;  Mu, Wei;  Liu, Kunqin;  Liu, Li;  Zeng, Hao;  Liu, Yujie;  Jiang, Lili;  Zhou, Ping;  Huang, Zhipei;  Li, Weimin;  Tian, Jie
浏览  |  Adobe PDF(1539Kb)  |  收藏  |  浏览/下载：336/130  |  提交时间：2020/10/25
PD-L1 expression  deep learning  computed tomography  immunotherapy  non-small cell lung cancer.  
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：439/123  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
DM-SLAM: Monocular SLAM in Dynamic Environments 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 12, 页码: 16
作者:  Lu, Xiaoyun;  Wang, Hu;  Tang, Shuming;  Huang, Huimin;  Li, Chuang
浏览  |  Adobe PDF(3615Kb)  |  收藏  |  浏览/下载：341/70  |  提交时间：2020/08/21
static features extraction  dynamic environments  3D reconstruction  monocular SLAM  
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 16, 页码: 7231-7244
作者:  Wu, Qingxia;  Wang, Shuo;  Liang, Li;  Wu, Qingxia;  Qian, Wei;  Hu, Yahua;  Li, Li;  Zhou, Xuezhi;  Ma, He;  Li, Hongjun;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
收藏  |  浏览/下载：201/0  |  提交时间：2020/08/03
COVID-19  Computed tomography  Radiomics  Prognosis  Poor outcome