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2020 – today
- 2024
[j71]Shuhuai Tan
, Rongpei Zhou, Yuhao Wang, Qiegen Liu, Xinzhi Liu:
Optimal control of Boolean control networks with state-triggered impulses. Expert Syst. Appl. 252: 124014 (2024)- [j70]Huilin Zhou, Ting Xie, Qiegen Liu, Shufan Hu:
An Augmented Lagrangian Method-Based Deep Iterative Unrolling Network for Seismic Full-Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j69]Weiwen Wu, Yanyang Wang, Qiegen Liu, Ge Wang, Jianjia Zhang:
Wavelet-Improved Score-Based Generative Model for Medical Imaging. IEEE Trans. Medical Imaging 43(3): 966-979 (2024) - [c24]Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. ISBI 2024: 1-4 - [c23]Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang:
Multimodal Self-Supervised Learning for Lesion Localization. ISBI 2024: 1-5 - [i42]Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang:
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning. CoRR abs/2401.01693 (2024) - [i41]Mengxiao Geng, Jiahao Zhu, Xiaolin Zhu, Qiqing Liu, Dong Liang, Qiegen Liu:
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models. CoRR abs/2405.05763 (2024) - [i40]Pinhuang Tan, Mengxiao Geng, Jingya Lu, Liu Shi, Bin Huang, Qiegen Liu:
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction. CoRR abs/2405.05814 (2024) - [i39]Wenhao Zhang, Bin Huang, Shuyue Chen, Xiaoling Xu, Weiwen Wu, Qiegen Liu:
Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction. CoRR abs/2405.17167 (2024) - [i38]Bin Huang, Xubiao Liu, Lei Fang, Qiegen Liu, Bingxuan Li:
Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction. CoRR abs/2407.00944 (2024) - [i37]Ruiquan Ge, Xiao Yu, Yifei Chen, Fan Jia, Shenghao Zhu, Guanyu Zhou, Yiyu Huang, Chenyan Zhang, Dong Zeng, Changmiao Wang, Qiegen Liu, Shanzhou Niu:
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling. CoRR abs/2408.05705 (2024) - 2023
- [j68]Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng:
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2659-2670 (2023) - [j67]Xiaomei Luo, Ruifeng Bao, Zhuo Liu, Shengqi Zhu, Qiegen Liu:
Super-Resolution of SAR Images With Speckle Noise Based on Combination of Cubature Kalman Filter and Low-Rank Approximation. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j66]Yuhao Wang, Ruirui Liu, Zihao Li, Shanshan Wang, Cailian Yang, Qiegen Liu:
Variable Augmented Network for Invertible Modality Synthesis and Fusion. IEEE J. Biomed. Health Informatics 27(6): 2898-2909 (2023) - [j65]Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu:
One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction. IEEE Trans. Medical Imaging 42(11): 3420-3435 (2023) - [j64]Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu:
Wavelet Transform-Assisted Adaptive Generative Modeling for Colorization. IEEE Trans. Multim. 25: 4547-4562 (2023) - [j63]Kuan Xiong, Kai Hong, Jin Li, Wanyun Li, Weidong Liao, Qiegen Liu:
Joint intensity-gradient guided generative modeling for colorization. Vis. Comput. 39(12): 6537-6552 (2023) - [i36]Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang:
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR abs/2308.15918 (2023) - [i35]Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu:
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction. CoRR abs/2308.15942 (2023) - [i34]Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu:
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction. CoRR abs/2309.00853 (2023) - [i33]Yu Guan, Bohui Shen, Xinchong Shi, Xiangsong Zhang, Bingxuan Li, Qiegen Liu:
Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction. CoRR abs/2310.01885 (2023) - [i32]Bohui Shen, Wei Zhang, Xubiao Liu, Pengfei Yu, Shirui Jiang, Xinchong Shi, Xiangsong Zhang, Xiaoyu Zhou, Weirui Zhang, Bingxuan Li, Qiegen Liu:
PET Tracer Conversion among Brain PET via Variable Augmented Invertible Network. CoRR abs/2311.00735 (2023) - [i31]Yuxia Huang, Zhonghui Wu, Xiaoling Xu, Minghui Zhang, Shanshan Wang, Qiegen Liu:
Partition-based K-space Synthesis for Multi-contrast Parallel Imaging. CoRR abs/2312.00387 (2023) - 2022
- [j62]Zhixin Zhao, Xin Chen, Yuhao Wang, Qiegen Liu, Huilin Zhou:
Range-Doppler Spectrograms-Based Graph-Relational Mapping for Clutter Rejection in HF Passive Radar. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j61]Huilin Zhou, Yi Wang, Qiegen Liu, Yuhao Wang:
RNMF-Guided Deep Network for Signal Separation of GPR Without Labeled Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j60]Zhuonan He, Kai Hong, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu:
Deep frequency-recurrent priors for inverse imaging reconstruction. Signal Process. 190: 108320 (2022) - [j59]Dianlin Hu, Yikun Zhang, Jianfeng Zhu, Qiegen Liu, Yang Chen:
TRANS-Net: Transformer-Enhanced Residual-Error AlterNative Suppression Network for MRI Reconstruction. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [c22]Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu:
Universal Generative Modeling for Calibration-Free Parallel Mr Imaging. ISBI 2022: 1-5 - [c21]Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang:
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. MLMIR@MICCAI 2022: 3-13 - [i30]Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu:
Variable Augmented Network for Invertible MR Coil Compression. CoRR abs/2201.07428 (2022) - [i29]Cailian Yang, Xianghao Liao, Yuhao Wang, Minghui Zhang, Qiegen Liu:
Virtual Coil Augmentation Technology for MRI via Deep Learning. CoRR abs/2201.07540 (2022) - [i28]Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu:
Universal Generative Modeling for Calibration-free Parallel Mr Imaging. CoRR abs/2201.10210 (2022) - [i27]Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Rethinking the optimization process for self-supervised model-driven MRI reconstruction. CoRR abs/2203.09724 (2022) - [i26]Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang:
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction. CoRR abs/2203.10776 (2022) - [i25]Hui Tao, Haifeng Wang, Shanshan Wang, Dong Liang, Xiaoling Xu, Qiegen Liu:
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging. CoRR abs/2204.01979 (2022) - [i24]Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Minghui Zhang, Qiegen Liu, Dong Liang:
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction. CoRR abs/2205.03883 (2022) - [i23]Hong Peng, Chen Jiang, Yu Guan, Jing Cheng, Minghui Zhang, Dong Liang, Qiegen Liu:
One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction. CoRR abs/2208.07181 (2022) - [i22]Zihao Li, Chunhua Wu, Shenglin Wu, Wenbo Wan, Yuhao Wang, Qiegen Liu:
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting. CoRR abs/2211.13857 (2022) - [i21]Bing Guan, Cailian Yang, Liu Zhang, Shanzhou Niu, Minghui Zhang, Yuhao Wang, Weiwen Wu, Qiegen Liu:
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction. CoRR abs/2211.13926 (2022) - [i20]Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu:
One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging. CoRR abs/2212.03630 (2022) - [i19]Wei Zhang, Zengwei Xiao, Hui Tao, Minghui Zhang, Xiaoling Xu, Qiegen Liu:
Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction. CoRR abs/2212.05503 (2022) - [i18]Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu:
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging. CoRR abs/2212.07599 (2022) - 2021
- [j58]Shanshan Wang, Taohui Xiao, Qiegen Liu, Hairong Zheng:
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data. Biomed. Signal Process. Control. 68: 102579 (2021) - [j57]Siyuan Wang, Junjie Lv, Zhuonan He, Dong Liang, Yang Chen, Minghui Zhang, Qiegen Liu:
Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction. Neurocomputing 437: 325-338 (2021) - [j56]Minghui Zhang, Cailian Yang, Yuan Yuan, Yu Guan, Siyuan Wang, Qiegen Liu:
Multi-wavelet guided deep mean-shift prior for image restoration. Signal Process. Image Commun. 99: 116449 (2021) - [j55]Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang:
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1003-1013 (2021) - [j54]Yikun Zhang, Tianling Lv, Rongjun Ge, Qianlong Zhao, Dianlin Hu, Liu Zhang, Jin Liu, Yi Zhang, Qiegen Liu, Wei Zhao, Yang Chen:
CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction. IEEE Trans. Computational Imaging 7: 436-447 (2021) - [j53]Dianlin Hu, Yikun Zhang, Jin Liu, Changping Du, Jinglin Zhang, Shouhua Luo, Guotao Quan, Qiegen Liu, Yang Chen, Limin Luo:
SPECIAL: Single-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT. IEEE Trans. Computational Imaging 7: 734-746 (2021) - [j52]Yikun Zhang, Dianlin Hu, Qianlong Zhao, Guotao Quan, Jin Liu, Qiegen Liu, Yi Zhang, Gouenou Coatrieux, Yang Chen, Hengyong Yu:
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging. IEEE Trans. Medical Imaging 40(11): 3089-3101 (2021) - [j51]Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu:
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. IEEE Trans. Medical Imaging 40(12): 3265-3278 (2021) - [c20]Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. MICCAI (6) 2021: 382-391 - [i17]Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu:
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization. CoRR abs/2107.04261 (2021) - [i16]Kai Hong, Chunhua Wu, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu:
High-dimensional Assisted Generative Model for Color Image Restoration. CoRR abs/2108.06460 (2021) - [i15]Yuhao Wang, Ruirui Liu, Zihao Li, Cailian Yang, Qiegen Liu:
Variable Augmented Network for Invertible Modality Synthesis-Fusion. CoRR abs/2109.00670 (2021) - [i14]Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang:
MRI Reconstruction Using Deep Energy-Based Model. CoRR abs/2109.03237 (2021) - [i13]Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. CoRR abs/2109.12502 (2021) - 2020
- [j50]Jinjie Zhou, Zhuonan He, Xiaodong Liu, Yuhao Wang, Shanshan Wang, Qiegen Liu:
Transformed denoising autoencoder prior for image restoration. J. Vis. Commun. Image Represent. 72: 102927 (2020) - [j49]Minghui Zhang, Mengting Li, Jinjie Zhou, Yanjie Zhu, Shanshan Wang, Dong Liang, Yang Chen, Qiegen Liu:
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction. Medical Image Anal. 64: 101717 (2020) - [j48]Minghui Zhang, Yiling Liu, Guanyu Li, Binjie Qin, Qiegen Liu:
Iterative scheme-inspired network for impulse noise removal. Pattern Anal. Appl. 23(1): 135-145 (2020) - [j47]Guanyu Li, Xiaoling Xu, Minghui Zhang, Qiegen Liu:
Densely connected network for impulse noise removal. Pattern Anal. Appl. 23(3): 1263-1275 (2020) - [j46]Wei Zeng, Jie Peng, Shanshan Wang, Qiegen Liu:
A comparative study of CNN-based super-resolution methods in MRI reconstruction and its beyond. Signal Process. Image Commun. 81 (2020) - [j45]Jinjie Zhou, Kai Hong, Tao Deng, Yuhao Wang, Qiegen Liu:
Progressive Colorization via Iterative Generative Models. IEEE Signal Process. Lett. 27: 2054-2058 (2020) - [j44]Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang:
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. IEEE Trans. Computational Imaging 6: 434-446 (2020) - [j43]Sanqian Li, Binjie Qin, Jing Xiao, Qiegen Liu, Yuhao Wang, Dong Liang:
Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration. IEEE Trans. Image Process. 29: 142-156 (2020) - [c19]Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang:
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. ISBI 2020: 1-5 - [i12]Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu:
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. CoRR abs/2008.06284 (2020) - [i11]Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu:
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model. CoRR abs/2009.12760 (2020) - [i10]Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu:
Joint Intensity-Gradient Guided Generative Modeling for Colorization. CoRR abs/2012.14130 (2020)
2010 – 2019
- 2019
- [j42]Minghui Zhang, Yuan Yuan, Fengqin Zhang, Siyuan Wang, Shanshan Wang, Qiegen Liu:
Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration. IEEE Access 7: 150082-150092 (2019) - [j41]Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang:
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access 7: 178486-178495 (2019) - [j40]Qiegen Liu, Henry Leung:
Variable augmented neural network for decolorization and multi-exposure fusion. Inf. Fusion 46: 114-127 (2019) - [j39]Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang:
VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising. J. Vis. Commun. Image Represent. 62: 12-22 (2019) - [j38]Yalin Yang, Qiegen Liu, Minghui Zhang, Yuhao Wang:
Bi-path network coupling for single image super-resolution. Multim. Tools Appl. 78(15): 21981-21998 (2019) - [j37]Binjie Qin, Mingxin Jin, Dongdong Hao, Yisong Lv, Qiegen Liu, Yueqi Zhu, Song Ding, Jun Zhao, Baowei Fei:
Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms. Pattern Recognit. 87: 38-54 (2019) - [j36]Qiegen Liu, Sanqian Li, Jing Xiao, Minghui Zhang:
Multi-filters guided low-rank tensor coding for image inpainting. Signal Process. Image Commun. 73: 70-83 (2019) - [j35]Wenzhao Zhao, Qiegen Liu, Yisong Lv, Binjie Qin:
Texture Variation Adaptive Image Denoising With Nonlocal PCA. IEEE Trans. Image Process. 28(11): 5537-5551 (2019) - [j34]Qiegen Liu, Sanqian Li, Jiaojiao Xiong, Binjie Qin:
WpmDecolor: weighted projection maximum solver for contrast-preserving decolorization. Vis. Comput. 35(2): 205-221 (2019) - [c18]Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu:
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. AAAI 2019: 354-362 - [c17]Guanyu Li, Yiling Liu, Minghui Zhang, Shanshan Wang, Yanjie Zhu, Qiegen Liu, Dong Liang:
A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging. EMBC 2019: 4483-4486 - [c16]Yuan Yuan, Jinjie Zhou, Zhuonan He, Shanshan Wang, Biao Xiong, Qiegen Liu:
High-Dimensional Embedding Denoising Autoencoding Prior for Color Image Restoration. ICIP 2019: 759-763 - [c15]Wei Zeng, Jie Peng, Shanshan Wang, Zhicheng Li, Qiegen Liu, Dong Liang:
A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction. ISBI 2019: 1678-1682 - [c14]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) 2019: 30-38 - [c13]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) 2019: 247-255 - [i9]Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang:
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint. CoRR abs/1901.06111 (2019) - [i8]Jing Cheng, Haifeng Wang, Yanjie Zhu, Qiegen Liu, Hairong Zheng, Leslie Ying, Dong Liang:
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning. CoRR abs/1906.08143 (2019) - [i7]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR abs/1907.07000 (2019) - [i6]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR abs/1908.02054 (2019) - [i5]Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng:
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset. CoRR abs/1908.09140 (2019) - [i4]Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu:
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction. CoRR abs/1909.01108 (2019) - [i3]Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang:
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. CoRR abs/1909.10856 (2019) - [i2]Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu:
Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction. CoRR abs/1910.11148 (2019) - 2018
- [j33]Wenzhao Zhao, Yisong Lv, Qiegen Liu, Binjie Qin:
Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding. IEEE Access 6: 6303-6315 (2018) - [j32]Hongyang Lu, Sanqian Li, Qiegen Liu, Minghui Zhang:
MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration. Neurocomputing 303: 88-102 (2018) - [j31]Yankun Wang, Qiegen Liu, Huilin Zhou, Yuhao Wang:
Learning multi-denoising autoencoding priors for image super-resolution. J. Vis. Commun. Image Represent. 57: 152-162 (2018) - [j30]Hongyang Lu, Qiegen Liu, Minghui Zhang, Yuhao Wang, Xiaohua Deng:
Gradient-based low rank method and its application in image inpainting. Multim. Tools Appl. 77(5): 5969-5993 (2018) - [j29]Jiaojiao Xiong, Hongyang Lu, Qiegen Liu, Xiaoling Xu:
Parametric ratio-based method for efficient contrast-preserving decolorization. Multim. Tools Appl. 77(12): 15721-15745 (2018) - [j28]Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. 65(9): 1935-1942 (2018) - [j27]Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang:
Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. IEEE Trans. Medical Imaging 37(1): 251-261 (2018) - [j26]Biao Xiong, Qiegen Liu, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang:
Field-of-Experts Filters Guided Tensor Completion. IEEE Trans. Multim. 20(9): 2316-2329 (2018) - [c12]Minghui Zhang, Fengqin Zhang, Qiegen Liu, Dong Liang:
Sparse-View CT Reconstruction via Robust and Multi-channels Autoencoding Priors. ISICDM 2018: 55-59 - [i1]Wenzhao Zhao, Qiegen Liu, Yisong Lv, Binjie Qin:
Texture variation adaptive image denoising with nonlocal PCA. CoRR abs/1810.11282 (2018) - 2017
- [j25]Qiegen Liu, Shanshan Wang, Dong Liang:
Sparse and dense hybrid representation via subspace modeling for dynamic MRI. Comput. Medical Imaging Graph. 56: 24-37 (2017) - [j24]Jiaojiao Xiong, Qiegen Liu, Yuhao Wang, Xiaoling Xu:
A two-stage convolutional sparse prior model for image restoration. J. Vis. Commun. Image Represent. 48: 268-280 (2017) - [j23]Hongyang Lu, Qiegen Liu, Yuhao Wang, Xiaohua Deng:
A two-stage parametric subspace model for efficient contrast-preserving decolorization. Frontiers Inf. Technol. Electron. Eng. 18(11): 1874-1882 (2017) - [j22]Qiegen Liu, Jiaojiao Xiong, Li Zhu, Minghui Zhang, Yuhao Wang:
Extended RGB2Gray conversion model for efficient contrast preserving decolorization. Multim. Tools Appl. 76(12): 14055-14074 (2017) - [j21]Qiegen Liu, Peter Xiaoping Liu, Yuhao Wang, Henry Leung:
Semiparametric Decolorization With Laplacian-Based Perceptual Quality Metric. IEEE Trans. Circuits Syst. Video Technol. 27(9): 1856-1868 (2017) - [j20]Qiegen Liu, Guangpu Shao, Yuhao Wang, Junbin Gao, Henry Leung:
Log-Euclidean Metrics for Contrast Preserving Decolorization. IEEE Trans. Image Process. 26(12): 5772-5783 (2017) - [c11]Qiegen Liu, Henry Leung:
Log-Euclidean metric for robust multi-modal deformable registration. FUSION 2017: 1-6 - [c10]Qiegen Liu, Henry Leung:
Tensor-based descriptor for image registration via unsupervised network. FUSION 2017: 1-7 - [c9]Qiegen Liu, Henry Leung:
Synthesis-analysis deconvolutional network for compressed sensing. ICIP 2017: 1940-1944 - [c8]Hongyang Lu, Sanqian Li, Qiegen Liu, Yuhao Wang:
MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration. ICIP 2017: 2104-2108 - [c7]Jiaojiao Xiong, Sanqian Li, Qiegen Liu, Xiaoling Xu:
Analysis-operator guided simultaneous tensor decomposition and completion. ICIP 2017: 2677-2981 - 2016
- [j19]Xiaomei Luo, Zhiyong Suo, Qiegen Liu, Xiangfeng Wang:
Efficient noise reduction for interferometric phase image via non-local non-convex low-rank regularisation. IET Signal Process. 10(7): 815-824 (2016) - [j18]Hongyang Lu, Jingbo Wei, Qiegen Liu, Yuhao Wang, Xiaohua Deng:
A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction. Int. J. Biomed. Imaging 2016: 7512471:1-7512471:13 (2016) - [j17]Qiegen Liu, Biao Xiong, Dingcheng Yang, Minghui Zhang:
A generalized relative total variation method for image smoothing. Multim. Tools Appl. 75(13): 7909-7930 (2016) - [j16]Hongyang Lu, Jingbo Wei, Lizhe Wang, Peng Liu, Qiegen Liu, Yuhao Wang, Xiaohua Deng:
Reference Information Based Remote Sensing Image Reconstruction with Generalized Nonconvex Low-Rank Approximation. Remote. Sens. 8(6): 499 (2016) - [j15]Jingfei He, Qiegen Liu, Anthony G. Christodoulou, Chao Ma, Fan Lam, Zhi-Pei Liang:
Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors. IEEE Trans. Medical Imaging 35(9): 2119-2129 (2016) - 2015
- [j14]Jianhua Wu, Jinqiang Zhu, Qiegen Liu, Ye Zhang:
Human mouth-state recognition based on learned discriminative dictionary and sparse representation combined with homotopy. Multim. Tools Appl. 74(23): 10697-10711 (2015) - [j13]Qiegen Liu, Peter X. Liu, Weisi Xie, Yuhao Wang, Dong Liang:
GcsDecolor: Gradient Correlation Similarity for Efficient Contrast Preserving Decolorization. IEEE Trans. Image Process. 24(9): 2889-2904 (2015) - 2014
- [j12]Qiegen Liu, Jianbo Liu, Biao Xiong, Dong Liang:
A non-convex gradient fidelity-based variational model for image contrast enhancement. EURASIP J. Adv. Signal Process. 2014: 154 (2014) - [j11]Qiegen Liu, Xi Peng, Jianbo Liu, Dingcheng Yang, Dong Liang:
A Weighted Two-Level Bregman Method with Dictionary Updating for Nonconvex MR Image Reconstruction. Int. J. Biomed. Imaging 2014: 128596:1-128596:23 (2014) - [c6]Qiegen Liu, Minghui Zhang, Jun Zhao:
Adaptive dictionary learning in sparse gradient domain for CT reconstruction. ISBI 2014: 169-172 - 2013
- [j10]Qiegen Liu, Dong Liang, Ying Song, Jianhua Luo, Yuemin Zhu, Wenshu Li:
Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring. SIAM J. Imaging Sci. 6(3): 1689-1718 (2013) - [j9]Shanshan Wang, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, David Dagan Feng:
Dictionary learning based impulse noise removal via L1-L1 minimization. Signal Process. 93(9): 2696-2708 (2013) - [j8]Qiegen Liu, Shanshan Wang, Leslie Ying, Xi Peng, Yanjie Zhu, Dong Liang:
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery. IEEE Trans. Image Process. 22(12): 4652-4663 (2013) - [j7]Shanshan Wang, Yong Xia, Qiegen Liu, Pei Dong, David Dagan Feng, Jianhua Luo:
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images. IEEE Trans. Image Process. 22(12): 5214-5225 (2013) - [j6]Qiegen Liu, Shanshan Wang, Kun Yang, Jianhua Luo, Yuemin Zhu, Dong Liang:
Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating. IEEE Trans. Medical Imaging 32(7): 1290-1301 (2013) - [c5]Qiegen Liu, Leslie Ying, Dong Liang:
An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering. ICASSP 2013: 1656-1660 - [c4]Qiegen Liu, Jianbo Liu, Pei Dong, Dong Liang:
SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition. ICCV 2013: 1081-1088 - [c3]Qiegen Liu, Jianbo Liu, Dong Liang:
Adaptive image decomposition via dictionary learning with stuctural incoherence. ICIP 2013: 280-284 - 2012
- [j5]Wenshu Li, Chao Zhao, Qiegen Liu, Qingjiang Shi, Shen Xu:
A parameter-adaptive iterative regularization model for image denoising. EURASIP J. Adv. Signal Process. 2012: 222 (2012) - [j4]Qiegen Liu, Shanshan Wang, Jianhua Luo:
A novel predual dictionary learning algorithm. J. Vis. Commun. Image Represent. 23(1): 182-193 (2012) - [j3]Qiegen Liu, Shanshan Wang, Jianhua Luo, Yuemin Zhu, Meng Ye:
An augmented Lagrangian approach to general dictionary learning for image denoising. J. Vis. Commun. Image Represent. 23(5): 753-766 (2012) - [j2]Shanshan Wang, Yong Xia, Qiegen Liu, Jianhua Luo, Yuemin Zhu, David Dagan Feng:
Gabor feature based nonlocal means filter for textured image denoising. J. Vis. Commun. Image Represent. 23(7): 1008-1018 (2012) - [c2]Yibiao Song, Caiyun Shi, Qiegen Liu, Yongqin Zhang, Xin Liu, Bensheng Qiu:
High resolution magnetic resonance thermometry based on the partial separable function model. BMEI 2012: 53-57 - 2011
- [j1]Qiegen Liu, Jianhua Luo, Shanshan Wang, Moyan Xiao, Meng Ye:
An augmented Lagrangian multi-scale dictionary learning algorithm. EURASIP J. Adv. Signal Process. 2011: 58 (2011)
2000 – 2009
- 2009
- [c1]Wenshu Li, Jianhua Luo, Qiegen Liu, Shenning Hu:
MRI Reconstruction Based on Inverse Scale Space and Contourlet Thresholding. BMEI 2009: 1-3
Coauthor Index
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