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Vision Transformer based UNet with Multi-Head Attention for Medical Image Segmentation Conference paper
Yu, Huina, Gao, Lingyan, Yu, Huitao, Zhang, Anguo. Vision Transformer based UNet with Multi-Head Attention for Medical Image Segmentation[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1737-1741.
Authors:  Yu, Huina;  Gao, Lingyan;  Yu, Huitao;  Zhang, Anguo
Favorite | TC[Scopus]:0 | Submit date：2024/09/03
Deep Learning  Medical Image Segmentation  Self-attention  Unet  Vision Transformer  
Enhancing trabecular CT scans based on deep learning with multi-strategy fusion Journal article
Ge, Peixuan, Li, Shibo, Liang, Yefeng, Zhang, Shuwei, Zhang, Lihai, Hu, Ying, Yao, Liang, Wong, Pak Kin. Enhancing trabecular CT scans based on deep learning with multi-strategy fusion[J]. Computerized Medical Imaging and Graphics, 2024, 116, 102410.
Authors:  Ge, Peixuan;  Li, Shibo;  Liang, Yefeng;  Zhang, Shuwei;  Zhang, Lihai; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.4/6.1 | Submit date：2024/07/04
Deep Supervision  Dual-view Learning  Medical Image Processing  Medical Image Restoration  Medical Image Segmentation  Trabecular Ct Analysis  Unsupervised Domain Adaptation  
Uncertainty-aware prototypical learning for anomaly detection in medical images Journal article
Huang, Chao, Shi, Yushu, Zhang, Bob, Lyu, Ke. Uncertainty-aware prototypical learning for anomaly detection in medical images[J]. Neural Networks, 2024, 175, 106284.
Authors:  Huang, Chao;  Shi, Yushu;  Zhang, Bob;  Lyu, Ke
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:6.0/7.9 | Submit date：2024/05/16
Anomalous Object Detection  Medical Image Analysis  Prototypical Learning  
Quaternion Cross-Modality Spatial Learning for Multi-Modal Medical Image Segmentation Journal article
Chen, Junyang, Huang, Guoheng, Yuan, Xiaochen, Zhong, Guo, Zheng, Zewen, Pun, Chi Man, Zhu, Jian, Huang, Zhixin. Quaternion Cross-Modality Spatial Learning for Multi-Modal Medical Image Segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 2024, 28(3), 1412-1423.
Authors:  Chen, Junyang;  Huang, Guoheng;  Yuan, Xiaochen;  Zhong, Guo;  Zheng, Zewen; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.7/7.1 | Submit date：2024/04/02
Quaternions  Convolution  Three-dimensional Displays  Biomedical Imaging  Image Segmentation  Feature Extraction  Lesions  Multi-modal Medical Image  Quaternion  Spatial Dependency  Cross-modality  
A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence Journal article
Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang. A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence[J]. CAAI Transactions on Intelligence Technology, 2024, 9(1), 153-166.
Authors:  Xiaoling Luo;  Wei Wang;  Yong Xu;  Zhihui Lai;  Xiaopeng Jin; et al.
Favorite | TC[WOS]:17 TC[Scopus]:17  IF:8.4/6.7 | Submit date：2023/08/03
Image Classification  Medical Image Processing  Pattern Recognition  
Uncertainty-aware Hierarchical Aggregation Network for Medical Image Segmentation Journal article
Zhou, Tao, Zhou, Yi, Li, Guangyu, Chen, Geng, Shen, Jianbing. Uncertainty-aware Hierarchical Aggregation Network for Medical Image Segmentation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(8), 7440 - 7453.
Authors:  Zhou, Tao;  Zhou, Yi;  Li, Guangyu;  Chen, Geng;  Shen, Jianbing
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:8.3/7.1 | Submit date：2024/05/16
Biomedical Imaging  Feature Extraction  Fuses  Hierarchical Feature Fusion  Image Segmentation  Lesions  Medical Diagnostic Imaging  Medical Image Segmentation  Scale Aggregation Module  Semantics  Uncertainty-induced Cross-level Fusion  
Medical Image Processing based on Generative Adversarial Networks: A Systematic Review Journal article
Liu, Jun, Li, Kunqi, Dong, Hua, Han, Yuanyuan, Li, Rihui. Medical Image Processing based on Generative Adversarial Networks: A Systematic Review[J]. Current Medical Imaging, 2024, 20.
Authors:  Liu, Jun;  Li, Kunqi;  Dong, Hua;  Han, Yuanyuan;  Li, Rihui
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.1/1.0 | Submit date：2024/05/16
Computer Vision  Deep Learning  Generative Adversarial Network  Medical Image  Segmentation  Synthesis  
Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation Journal article
Du,Jie, Zhang,Xiaoci, Liu,Peng, Wang,Tianfu. Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 2023, 27(8), 3970-3981.
Authors:  Du,Jie;  Zhang,Xiaoci;  Liu,Peng;  Wang,Tianfu
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:6.7/7.1 | Submit date：2023/08/03
Semi-supervised Medical Image Segmentation  Coarse-refined Consistency Learning  Pixel-level Features  Ranked Loss Function  
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement Journal article
Zhong,Guojin, Ding,Weiping, Chen,Long, Wang,Yingxu, Yu,Yu Feng. Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(4), 1113-1125.
Authors:  Zhong,Guojin;  Ding,Weiping;  Chen,Long;  Wang,Yingxu;  Yu,Yu Feng
Favorite | TC[WOS]:13 TC[Scopus]:17  IF:5.3/5.7 | Submit date：2023/08/03
Gan  Medical Image Enhancement  Attention  Multi-scale  Deep Semantic Feature  
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification Journal article
Lai,Qi, Zhou,Jianhang, Gan,Yanfen, Vong,Chi Man, Chen,C. L.Philip. Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 8(1), 828-839.
Authors:  Lai,Qi;  Zhou,Jianhang;  Gan,Yanfen;  Vong,Chi Man;  Chen,C. L.Philip
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:5.3/5.7 | Submit date：2023/08/03
Biomedical Imaging  Computational Intelligence  Correlation  Diseases  Medical Image Classification  Multi-instance Learning  Multi-label Learning  Probabilistic Logic  Simultaneous Learning  Single-stage Framework  Task Analysis  Training