| Task Transformer Network for Joint MRI Reconstruction and Super-Resolution CM Feng, Y Yan, H Fu, L Chen, Y Xu International Conference on Medical Image Computing and Computer Assisted …, 2021 | 132 | 2021 |
| Multi-Modal Transformer for Accelerated MR Imaging CM Feng, Y Yan, G Chen, Y Xu, L Shao, H Fu IEEE Transactions on Medical Imaging, 2022 | 90* | 2022 |
| Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network CM Feng, H Fu, S Yuan, Y Xu International Conference on Medical Image Computing and Computer Assisted …, 2021 | 79 | 2021 |
| Group-wise learning for weakly supervised semantic segmentation T Zhou, L Li, X Li, CM Feng, J Li, L Shao IEEE Transactions on Image Processing 31, 799-811, 2021 | 73 | 2021 |
| Specificity-Preserving Federated Learning for MR Image Reconstruction CM Feng, Y Yan, W Shanshan, Y Xu, L Shao, H Fu IEEE Transactions on Medical Imaging, 2022 | 63 | 2022 |
| Supervised discriminative sparse PCA for com-characteristic gene selection and tumor classification on multiview biological data CM Feng, Y Xu, JX Liu, YL Gao, CH Zheng IEEE transactions on neural networks and learning systems 30 (10), 2926-2937, 2019 | 58 | 2019 |
| PCA based on graph laplacian regularization and P-norm for gene selection and clustering CM Feng, YL Gao, JX Liu, CH Zheng, J Yu IEEE transactions on nanobioscience 16 (4), 257-265, 2017 | 42 | 2017 |
| Brain MRI super-resolution using coupled-projection residual network CM Feng, K Wang, S Lu, Y Xu, X Li Neurocomputing 456, 190-199, 2020 | 34 | 2020 |
| DONet: Dual-Octave Network for Fast MR Image Reconstruction CM Feng, Z Yang, H Fu, Y Xu, J Yang, L Shao IEEE Transactions on Neural Networks and Learning Systems, 2021 | 32 | 2021 |
| Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution CM Feng, Y Yan, Y Kai, Y Xu, J Yang, L Shao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 26 | 2024 |
| Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction CM Feng, Z Yang, G Chen, Y Xu, L Shao Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 | 26 | 2021 |
| Learning Federated Visual Prompt in Null Space for MRI Reconstruction CM Feng, B Li, X Xu, Y Liu, H Fu, W Zuo Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition, 2023 | 22 | 2023 |
| Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm MJ Wu, JX Liu, YL Gao, XZ Kong, CM Feng 2017 IEEE international conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 21 | 2017 |
| Robust nonnegative matrix factorization via joint graph Laplacian and discriminative information for identifying differentially expressed genes LY Dai, CM Feng, JX Liu, CH Zheng, J Yu, MX Hou Complexity 2017, 1-11, 2017 | 20 | 2017 |
| Robust nonnegative matrix factorization via joint graph Laplacian and discriminative information for identifying differentially expressed genes LY Dai, CM Feng, JX Liu, CH Zheng, J Yu, MX Hou Complexity 2017, 1-11, 2017 | 20 | 2017 |
| Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning CM Feng, K Yu, Y Liu, S Khan, W Zuo Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 15 | 2023 |
| A simple review of sparse principal components analysis CM Feng, YL Gao, JX Liu, CH Zheng, SJ Li, D Wang Intelligent Computing Theories and Application: 12th International …, 2016 | 15 | 2016 |
| Joint-norm constraint and graph-Laplacian PCA method for feature extraction CM Feng, YL Gao, JX Liu, J Wang, DQ Wang, CG Wen BioMed research international 2017, 2017 | 14 | 2017 |
| Joint-norm constraint and graph-Laplacian PCA method for feature extraction CM Feng, YL Gao, JX Liu, J Wang, DQ Wang, CG Wen BioMed research international 2017, 2017 | 14 | 2017 |
| Zero-shot camouflaged object detection H Li, CM Feng, Y Xu, T Zhou, L Yao, X Chang IEEE Transactions on Image Processing, 2023 | 10 | 2023 |
