| Image denoising via adaptive soft-thresholding based on non-local samples H Liu, R Xiong, J Zhang, W Gao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 484-492, 2015 | 87 | 2015 |
| Image denoising via bandwise adaptive modeling and regularization exploiting nonlocal similarity R Xiong, H Liu, X Zhang, J Zhang, S Ma, F Wu, W Gao IEEE Transactions on Image Processing 25 (12), 5793-5805, 2016 | 53 | 2016 |
| Non-local gradient sparsity regularization for image restoration H Liu, R Xiong, X Zhang, Y Zhang, S Ma, W Gao IEEE Transactions on Circuits and Systems for Video Technology 27 (9), 1909 …, 2017 | 48 | 2017 |
| G-CAST: Gradient based image softcast for perception-friendly wireless visual communication R Xiong, H Liu, S Ma, X Fan, F Wu, W Gao 2014 Data Compression Conference, 133-142, 2014 | 35 | 2014 |
| Image denoising via low rank regularization exploiting intra and inter patch correlation H Liu, R Xiong, D Liu, S Ma, F Wu, W Gao IEEE Transactions on Circuits and Systems for Video Technology 28 (12), 3321 …, 2018 | 14 | 2018 |
| Non-local extension of total variation regularization for image restoration H Liu, R Xiong, S Ma, X Fan, W Gao 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 1102-1105, 2014 | 14 | 2014 |
| CG-Cast: scalable wireless image SoftCast using compressive gradient H Liu, R Xiong, X Fan, D Zhao, Y Zhang, W Gao IEEE Transactions on Circuits and Systems for Video Technology 29 (6), 1832-1843, 2019 | 13 | 2019 |
| Gradient based image/video softcast with grouped-patch collaborative reconstruction H Liu, R Xiong, S Ma, X Fan, W Gao 2014 IEEE Visual Communications and Image Processing Conference, 141-144, 2014 | 13 | 2014 |
| Gradient based image transmission and reconstruction using non-local gradient sparsity regularization H Liu, R Xiong, S Ma, X Fan, W Gao 2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014 | 12 | 2014 |
| Content-adaptive low rank regularization for image denoising H Liu, X Zhang, R Xiong 2016 IEEE International Conference on Image Processing (ICIP), 3091-3095, 2016 | 11 | 2016 |
| Multi-instance deep learning with graph convolutional neural networks for diagnosis of kidney diseases using ultrasound imaging S Yin, Q Peng, H Li, Z Zhang, X You, H Liu, K Fischer, SL Furth, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019 | 9 | 2019 |
| Low rank regularization exploiting intra and inter patch correlation for image denoising H Liu, R Xiong, D Liu, F Wu, W Gao 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 9 | 2017 |
| Image super-resolution based on adaptive joint distribution modeling H Liu, R Xiong, Q Song, F Wu, W Gao 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 6 | 2017 |
| COLA-Net: Collaborative Attention Network for Image Restoration C Mou, J Zhang, X Fan, H Liu, R Wang IEEE Transactions on Multimedia, 2021 | 4 | 2021 |
| Image denoising via structure-constrained low-rank approximation Y Zhang, R Kang, X Peng, J Wang, J Zhu, J Peng, H Liu Neural Computing and Applications, 1-16, 2020 | 4 | 2020 |
| Collaborative Clustering of Subjects and Radiomic Features for Predicting Clinical Outcomes of Rectal Cancer Patients H Liu, H Li, P Boimel, J Janopaul-Naylor, H Zhong, Y Xiao, E Ben-Josef, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 4 | 2019 |
| Wireless image softcast using compressive gradient H Liu, R Xiong, X Fan, S Ma, W Gao 2017 Data Compression Conference (DCC), 451-451, 2017 | 4 | 2017 |
| Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling H Liu, T Rashid, M Habes 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI …, 2020 | 3 | 2020 |
| DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI T Rashid, A Abdulkadir, IM Nasrallah, JB Ware, H Liu, P Spincemaille, ... Scientific reports 11 (1), 1-14, 2021 | 2 | 2021 |
| Robust collaborative clustering of subjects and radiomic features for cancer prognosis H Liu, H Li, M Habes, Y Li, P Boimel, J Janopaul-Naylor, Y Xiao, ... IEEE Transactions on Biomedical Engineering 67 (10), 2735-2744, 2020 | 2 | 2020 |
Ruiqin XiongPeking UniversityVerified email at pku.edu.cn
