UM

Browse/Search Results:  1-10 of 26 Help

Selected(0)Clear Items/Page:    Sort:
DGFusion: a novel infrared and visible image fusion method based on diffusion and generative adversarial networks Journal article
Yang, Zhiguang, Qin, Hanqin, Zeng, Shan, Li, Bing, Tang, Yuanyan. DGFusion: a novel infrared and visible image fusion method based on diffusion and generative adversarial networks[J]. IEEE Access, 2024, 12, 147051-147064.
Authors:  Yang, Zhiguang;  Qin, Hanqin;  Zeng, Shan;  Li, Bing;  Tang, Yuanyan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.7 | Submit date:2024/11/05
Diffusion Network  Generative Adversarial Network  Infrared And Visible Image Fusion  
Deep learning-based multi-frequency denoising for myocardial perfusion SPECT Journal article
Du, Yu, Sun, Jingzhang, Li, Chien Ying, Yang, Bang Hung, Wu, Tung Hsin, Mok, Greta S.P.. Deep learning-based multi-frequency denoising for myocardial perfusion SPECT[J]. EJNMMI Physics, 2024, 11(1), 80.
Authors:  Du, Yu;  Sun, Jingzhang;  Li, Chien Ying;  Yang, Bang Hung;  Wu, Tung Hsin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/3.7 | Submit date:2024/11/05
Deep Learning  Myocardial Perfusion Spect  Generative Adversarial Network  Denoising  
Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing Journal article
Sun, Bin, Su, Yuanchao, Sun, He, Bai, Jinying, Li, Pengfei, Liu, Feng, Liu, Dongsheng. Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21, 5506005.
Authors:  Sun, Bin;  Su, Yuanchao;  Sun, He;  Bai, Jinying;  Li, Pengfei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/4.4 | Submit date:2024/07/04
Anti-shadow Unmixing  Deep Learning  Generative Adversarial Network (Gan)  Hyperspectral Unmixing  
RoDAL: style generation in robot calligraphy with deep adversarial learning Journal article
Wang, Xiaoming, Gong, Zhiguo. RoDAL: style generation in robot calligraphy with deep adversarial learning[J]. Applied Intelligence, 2024, 54(17-18), 7913-7923.
Authors:  Wang, Xiaoming;  Gong, Zhiguo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.9 | Submit date:2024/07/04
Dual Generator  Encoder-decoder  Generative Adversarial Network  Robot Calligraphy  Style Learning  
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  
Deep Reverse Attack on SIFT Features With a Coarse-to-Fine GAN Model Journal article
Li, Xin, Zhu, Guopu, Wang, Shen, Zhou, Yicong, Zhang, Xinpeng. Deep Reverse Attack on SIFT Features With a Coarse-to-Fine GAN Model[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(7), 6391 - 6402.
Authors:  Li, Xin;  Zhu, Guopu;  Wang, Shen;  Zhou, Yicong;  Zhang, Xinpeng
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:8.3/7.1 | Submit date:2024/05/16
Circuits And Systems  Data Privacy  Feature Extraction  Generative Adversarial Network (Gan)  Generative Adversarial Networks  Generators  Image Color Analysis  Image Reconstruction  Image Restoration  Reverse Attack  Scale Invariant Feature Transform (Sift)  
FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement Journal article
Yu,Yu Feng, Zhong,Guojin, Zhou,Yi, Chen,Long. FS-GAN: Fuzzy Self-guided structure retention generative adversarial network for medical image enhancement[J]. Information Sciences, 2023, 642, 119114.
Authors:  Yu,Yu Feng;  Zhong,Guojin;  Zhou,Yi;  Chen,Long
Favorite | TC[WOS]:7 TC[Scopus]:12  IF:0/0 | Submit date:2023/08/03
Fuzzy Discriminator  Generative Adversarial Network (Gan)  Self-guided Structure Retention Module (Ssrm)  
Generative adversarial network-based attenuation correction for 99mTc-TRODAT-1 brain SPECT Journal article
Du, Yu, Jiang, Han, Lin, Ching Ni, Peng, Zhengyu, Sun, Jingzhang, Chiu, Pai Yi, Hung, Guang Uei, Mok, Greta S.P.. Generative adversarial network-based attenuation correction for 99mTc-TRODAT-1 brain SPECT[J]. Frontiers in Medicine, 2023, 10, 1171118.
Authors:  Du, Yu;  Jiang, Han;  Lin, Ching Ni;  Peng, Zhengyu;  Sun, Jingzhang; et al.
Favorite | TC[WOS]:4 TC[Scopus]:2  IF:3.1/3.4 | Submit date:2024/02/22
99mtc-trodat-1  Attenuation Correction  Deep Learning  Dopamine Transporter Spect  Generative Adversarial Network  
Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis Journal article
Zuo, Qiankun, Hu, Junhua, Zhang, Yudong, Pan, Junren, Jing, Changhong, Chen, Xuhang, Meng, Xiaobo, Hong, Jin. Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis[J]. CMES - Computer Modeling in Engineering and Sciences, 2023, 137(3), 2129-2147.
Authors:  Zuo, Qiankun;  Hu, Junhua;  Zhang, Yudong;  Pan, Junren;  Jing, Changhong; et al.
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:2.2/1.8 | Submit date:2024/02/23
Adversarial Graph Encoder  Dementia  Functional Brain Connectivity  Generative Transformer  Graph Convolutional Network  Label Distribution  
URRNet: A Unified Relational Reasoning Network for Vehicle Re-identification Journal article
Jiuchao Qian, Minting Pan, Wei Tong, Rob Law, Edmond Q. Wu. URRNet: A Unified Relational Reasoning Network for Vehicle Re-identification[J]. IEEE Transactions on Vehicular Technology, 2023, 72(9), 11156 - 11168.
Authors:  Jiuchao Qian;  Minting Pan;  Wei Tong;  Rob Law;  Edmond Q. Wu
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:6.1/6.5 | Submit date:2023/08/03
Cognition  Feature Extraction  Generative Adversarial Networks  Graph Convolutional Network  Measurement  Multi-view Matching  Relational Reasoning  Space Vehicles  Task Analysis  Vehicle Re-identification  Visualization