| Dw-gan: A discrete wavelet transform gan for nonhomogeneous dehazing M Fu, H Liu, Y Yu, J Chen, K Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 131 | 2021 |
| A two-branch neural network for non-homogeneous dehazing via ensemble learning Y Yu, H Liu, M Fu, J Chen, X Wang, K Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 99 | 2021 |
| NTIRE 2021 nonhomogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 87 | 2021 |
| NTIRE 2023 challenge on image super-resolution (x4): Methods and results Y Zhang, K Zhang, Z Chen, Y Li, R Timofte, J Zhang, K Zhang, R Peng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 77 | 2023 |
| NTIRE 2024 image shadow removal challenge report FA Vasluianu, T Seizinger, Z Zhou, Z Wu, C Chen, R Timofte, W Dong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 57 | 2024 |
| The ninth NTIRE 2024 efficient super-resolution challenge report B Ren, Y Li, N Mehta, R Timofte, H Yu, C Wan, Y Hong, B Han, Z Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 32 | 2024 |
| Network learning for biomarker discovery Y Ding, M Fu, P Luo, FX Wu International Journal of Network Dynamics and Intelligence, 51-65, 2023 | 30 | 2023 |
| NTIRE 2024 challenge on low light image enhancement: Methods and results X Liu, Z Wu, A Li, FA Vasluianu, Y Zhang, S Gu, L Zhang, C Zhu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 27 | 2024 |
| NTIRE 2024 dense and non-homogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, Y Liu, X Wang, Y Zhu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 21 | 2024 |
| A multi-modal deep neural network for multi-class liver cancer diagnosis RA Khan, M Fu, B Burbridge, Y Luo, FX Wu Neural Networks 165, 553-561, 2023 | 21 | 2023 |
| Deep integrated fusion of local and global features for cervical cell classification M Fang, M Fu, B Liao, X Lei, FX Wu Computers in Biology and Medicine 171, 108153, 2024 | 18 | 2024 |
| Mipi 2023 challenge on nighttime flare removal: Methods and results Y Dai, C Li, S Zhou, R Feng, Q Zhu, Q Sun, W Sun, CC Loy, J Gu, S Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Oif-net: An optical flow registration-based pet/mr cross-modal interactive fusion network for low-count brain pet image denoising M Fu, N Zhang, Z Huang, C Zhou, X Zhang, J Yuan, Q He, Y Yang, ... IEEE Transactions on Medical Imaging 43 (4), 1554-1567, 2023 | 10 | 2023 |
| A two-branch neural network for short-axis PET image quality enhancement M Fu, M Wang, Y Wu, N Zhang, Y Yang, H Wang, Y Zhou, Y Shang, ... IEEE Journal of Biomedical and Health Informatics 27 (6), 2864-2875, 2023 | 9 | 2023 |
| Total‐body low‐dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism M Fu, Y Duan, Z Cheng, W Qin, Y Wang, D Liang, Z Hu Medical Physics 50 (5), 2971-2984, 2023 | 7 | 2023 |
| Qlabgrad: A hyperparameter-free and convergence-guaranteed scheme for deep learning M Fu, FX Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12072 …, 2024 | 6 | 2024 |
| SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis M Fu, M Fang, RA Khan, B Liao, Z Hu, FX Wu Artificial Intelligence in Medicine 157, 102972, 2024 | | 2024 |
FangXiang WUProfessor, FIEEE, FIET, University of Saskatchewan, CanadaVerified email at usask.ca