UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
Facing Differences of Similarity: Intra- and Inter-Correlation Unsupervised Learning for Chest X-Ray Anomaly Detection Journal article
Xu, Shicheng, Li, Wei, Li, Zuoyong, Zhao, Tiesong, Zhang, Bob. Facing Differences of Similarity: Intra- and Inter-Correlation Unsupervised Learning for Chest X-Ray Anomaly Detection[J]. IEEE Transactions on Medical Imaging, 2024.
Authors:  Xu, Shicheng;  Li, Wei;  Li, Zuoyong;  Zhao, Tiesong;  Zhang, Bob
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/11.3 | Submit date:2024/10/10
Medical Anomaly Detection  Correlation Learning  Feature Fusion  Transfer Learning  Chest X-ray  
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray Journal article
Wang, Yihang, Jiang, Chunjuan, Wu, Youqing, Lv, Tianxu, Sun, Heng, Liu, Yuan, Li, Lihua, Pan, Xiang. Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray[J]. IEEE Journal of Biomedical and Health Informatics, 2022, 26(12), 5870-5882.
Authors:  Wang, Yihang;  Jiang, Chunjuan;  Wu, Youqing;  Lv, Tianxu;  Sun, Heng; et al.
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:6.7/7.1 | Submit date:2023/01/30
Chest X-ray  Covid-19  ExplAinable Ai  Few-shot Learning  Semantic-powered  
MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray Journal article
Zhang, Yu Dong, Zhang, Zheng, Zhang, Xin, Wang, Shui Hua. MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray[J]. PATTERN RECOGNITION LETTERS, 2021, 150, 8-16.
Authors:  Zhang, Yu Dong;  Zhang, Zheng;  Zhang, Xin;  Wang, Shui Hua
Favorite | TC[WOS]:70 TC[Scopus]:85  IF:3.9/4.2 | Submit date:2021/12/08
Deep Learning  Data Harmonization  Multiple Input  Convolutional Neural Network  Automatic Differentiation  Covid-19  Chest Ct  Chest X-ray  Multimodality