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Real-World Utilization and Effectiveness of Glucagon-Like Peptide-1 Receptor Agonists Dosed Weekly and Daily in Patients with Type 2 Diabetes Mellitus: Results from Retrospective Electronic Medical Records in China Journal article
Ruan, Zhen, Chen, Xianwen, Song, Menghuan, Jia, Ruxu, Luo, Hang, Ung, Carolina Oi Lam, Hu, Hao. Real-World Utilization and Effectiveness of Glucagon-Like Peptide-1 Receptor Agonists Dosed Weekly and Daily in Patients with Type 2 Diabetes Mellitus: Results from Retrospective Electronic Medical Records in China[J]. Diabetes, Metabolic Syndrome and Obesity, 2024, 17, 3657-3666.
Authors:  Ruan, Zhen;  Chen, Xianwen;  Song, Menghuan;  Jia, Ruxu;  Luo, Hang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.8/3.3 | Submit date：2024/11/05
Type 2 Diabetes Mellitus  Glucagon-like Peptide-1 Receptor Agonist  Glp-1ra  Retrospective  China  Electronic Medical Record  Real-world  
Real-world clinical effectiveness of once-weekly semaglutide in patients with type 2 diabetes: a systematic literature review Journal article
Zhen Ruan, Yixuan Jiang, Honghao Shi, Ruxu Jia, Carolina Oi Lam Ung, Hao Hu. Real-world clinical effectiveness of once-weekly semaglutide in patients with type 2 diabetes: a systematic literature review[J]. Expert Review of Clinical Pharmacology, 2023, 16(2), 161-176.
Authors:  Zhen Ruan;  Yixuan Jiang;  Honghao Shi;  Ruxu Jia;  Carolina Oi Lam Ung; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.6/4.1 | Submit date：2023/08/03
Effectiveness  Glp-1ra  Hba1c  O.w. Semaglutide  Type 2 Diabetes  Real-world Evidence  Review  Weight  
Towards Fast and Robust Real Image Denoising with Attentive Neural Network and PID Controller Journal article
Ma, Ruijun, Li, Shuyi, Zhang, Bob, Li, Zhengming. Towards Fast and Robust Real Image Denoising with Attentive Neural Network and PID Controller[J]. IEEE Transactions on Multimedia, 2022, 24, 2366-2377.
Authors:  Ma, Ruijun;  Li, Shuyi;  Zhang, Bob;  Li, Zhengming
Favorite | TC[WOS]:29 TC[Scopus]:33  IF:8.4/8.0 | Submit date：2022/05/13
Image Denoising  Real-world Noisy Image  Lstm  Pid Controller  
Meta PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising Journal article
Ma, Ruijun, Li, Shuyi, Zhang, Bob, Hu, Haifeng. Meta PID Attention Network for Flexible and Efficient Real-World Noisy Image Denoising[J]. IEEE Transactions on Image Processing, 2022, 31, 2053-2066.
Authors:  Ma, Ruijun;  Li, Shuyi;  Zhang, Bob;  Hu, Haifeng
Favorite | TC[WOS]:33 TC[Scopus]:32  IF:10.8/12.1 | Submit date：2022/05/17
Attention Network  Convolutional Neural Networks  Meta-learning  Pid Controller  Real-world Noisy Image Denoising  
Treatment patterns and outcomes in children with infantile hemangiomas: A retrospective observational analysis Journal article
Cai, Yantao, Ge, Ying, Ung, Oi Lam Carolina, Li, Fuli, Wang, Jiaqi, Xia, Chenglai, Hu, Hao. Treatment patterns and outcomes in children with infantile hemangiomas: A retrospective observational analysis[J]. SAGE OPEN MEDICINE, 2021, 9.
Authors:  Cai, Yantao;  Ge, Ying;  Ung, Oi Lam Carolina;  Li, Fuli;  Wang, Jiaqi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.3/2.7 | Submit date：2022/08/28
Infantile Hemangioma  Clinical Characteristics  Treatment, Outcomes  Real-world Data  China  Retrospective  
Integrating real-world evidence in the regulatory decision-making process: a systematic documentary analysis of experiences in the US, EU and China using a logic model Journal article
Li, Meng, Chen, Shengqi, Lai, Yunfeng, Liang, Zuanji, Wang, Jiaqi, Shi, Junnan, Lin, Haojie, Yao, Dongning, Hu, Hao, Ung, Carolina Oi Lam. Integrating real-world evidence in the regulatory decision-making process: a systematic documentary analysis of experiences in the US, EU and China using a logic model[J]. Frontiers in Medicine, 2021, 8, 669509.
Authors:  Li, Meng;  Chen, Shengqi;  Lai, Yunfeng;  Liang, Zuanji;  Wang, Jiaqi; et al.
Favorite | TC[WOS]:23 TC[Scopus]:30  IF:3.1/3.4 | Submit date：2022/07/27
Regulatory Science  Real-world Evidence  Decision-making  Logic Model  Regulation  
Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model Journal article
Li, Meng, Chen, Shengqi, Lai, Yunfeng, Liang, Zuanji, Wang, Jiaqi, Shi, Junnan, Lin, Haojie, Yao, Dongning, Hu, Hao, Ung, Carolina Oi Lam. Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model[J]. Frontiers in Medicine, 2021, 8, 669509.
Authors:  Li, Meng;  Chen, Shengqi;  Lai, Yunfeng;  Liang, Zuanji;  Wang, Jiaqi; et al.
Favorite | TC[WOS]:23 TC[Scopus]:30  IF:3.1/3.4 | Submit date：2021/12/07
Decision-making  Logic Model  Real-world Evidence  Regulation  Regulatory Science  
Listening and speaking for real-world communication: What teachers do and what students learn from classroom assessments Journal article
Melissa H. Yu, Barry Lee Reynolds, Chen Ding. Listening and speaking for real-world communication: What teachers do and what students learn from classroom assessments[J]. SAGE Open, 2021, 11(2), 1-8.
Authors:  Melissa H. Yu;  Barry Lee Reynolds;  Chen Ding
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:2.0/2.3 | Submit date：2022/05/13
Classroom Assessment  Efl Classrooms  Real-world Communication  
Gaussian Pyramid of Conditional Generative Adversarial Network for Real-World Noisy Image Denoising Journal article
Ma,Ruijun, Zhang,Bob, Hu,Haifeng. Gaussian Pyramid of Conditional Generative Adversarial Network for Real-World Noisy Image Denoising[J]. Neural Processing Letters, 2020, 51(3), 2669-2684.
Authors:  Ma,Ruijun;  Zhang,Bob;  Hu,Haifeng
Favorite | TC[WOS]:6 TC[Scopus]:10  IF:2.6/2.4 | Submit date：2021/03/11
Gaussian Pyramid  Generative Model  Image Denoising  Real-world Noisy Images  
Hyper-parameter Analysis of the Improved Deep Embedding Clustering Model Conference paper
Feng，Qiying, Chen，C. L.Philip, Zhou，Jin. Hyper-parameter Analysis of the Improved Deep Embedding Clustering Model[C], 2018, 57-60.
Authors:  Feng，Qiying;  Chen，C. L.Philip;  Zhou，Jin
Favorite | TC[Scopus]:1 | Submit date：2021/03/09
Auto-encoder  Deep Learning  high-dimension real-world clustering  student-t distribution