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Chun-Mei Feng
Chun-Mei Feng
A*STAR, Singapore
在 stu.hit.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1182021
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
81*2022
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
722021
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
722021
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
552019
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
512022
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
412017
Brain MRI super-resolution using coupled-projection residual network
CM Feng, K Wang, S Lu, Y Xu, X Li
Neurocomputing 456, 190-199, 2020
312020
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
292021
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
252021
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, 2023
232023
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
212017
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
182017
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
182017
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
142023
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
142017
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
142017
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
142016
PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data
CM Feng, Y Xu, MX Hou, LY Dai, JL Shang
BMC bioinformatics 20, 1-11, 2019
82019
Dual graph-Laplacian PCA: a closed-form solution for bi-clustering to find “checkerboard” structures on gene expression data
JX Liu, CM Feng, XZ Kong, Y Xu
IEEE Access 7, 151329-151338, 2019
82019
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