Qiegen Liu - RankMe

185 papers A* 2B 6C 2Misc 1Journal 159Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AS-Mamba: Asymmetric Self-Guided Mamba Decoupled Iterative Network for Metal Artifact Reduction. CoRR Bowen Ning, Zekun Zhou, Xinyi Zhong, Zhongzhen Wang, HongXin Wu, Haitao Wang, Liu Shi, Qiegen Liu
2026	J	`jnl`	Anatomy Aware Cascade Network: Bridging Epistemic Uncertainty and Geometric Manifold for 3D Tooth Segmentation. CoRR Bing Yu, Liu Shi, Haitao Wang, Deran Qi, Xiang Cai, Wei Zhong, Qiegen Liu
2026	J	`jnl`	Back to Physics: Operator-Guided Generative Paths for SMS MRI Reconstruction. CoRR Zhibo Chen, Yu Guan, Yajuan Huang, Chaoqi Chen, XiangJi, Qiuyun Fan, Dong Liang, Qiegen Liu
2026	J	`jnl`	Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction. CoRR Junlin Wang, Jiancheng Fang, Peng Peng, Shaoyu Wang, Qiegen Liu
2026	J	`jnl`	FSP-Diff: Full-Spectrum Prior-Enhanced DualDomain Latent Diffusion for Ultra-Low-Dose Spectral CT Reconstruction. CoRR Peng Peng, Xinrui Zhang, Junlin Wang, Lei Li, Shaoyu Wang, Qiegen Liu
2026	J	`jnl`	GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET Reconstruction. CoRR Mengxiao Geng, Zijie Chen, Ran Hong, Bingxuan Li, Qiegen Liu
2026	J	`jnl`	PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction. CoRR Bin Huang, Xun Yu, Yikun Zhang, Yi Zhang, Yang Chen, Qiegen Liu
2026	J	`jnl`	SCOUT: Fast Spectral CT Imaging in Ultra LOw-data Regimes via PseUdo-label GeneraTion. CoRR Guoquan Wei, Liu Shi, Shaoyu Wang, Mohan Li, Cunfeng Wei, Qiegen Liu
2026	J	`jnl`	Sub-DM: Subspace Diffusion Model With Orthogonal Decomposition for MRI Reconstruction. IEEE Trans. Computational Imaging Yu Guan, Qinrong Cai, Wei Li, Qiuyun Fan, Dong Liang, Qiegen Liu
2026	J	`jnl`	TLC-Plan: A Two-Level Codebook Based Network for End-to-End Vector Floorplan Generation. CoRR Biao Xiong, Zhen Peng, Ping Wang, Qiegen Liu, Xian Zhong
2026	J	`jnl`	Visible Singularities Guided Correlation Network for Limited-Angle CT Reconstruction. CoRR Yiyang Wen, Liu Shi, Zekun Zhou, Wenzhe Shan, Qiegen Liu
2026	J	`jnl`	WHU-PCPR: A cross-platform heterogeneous point cloud dataset for place recognition in complex urban scenes. CoRR Xianghong Zou, Jianping Li, Yandi Yang, Weitong Wu, Yuan Wang, Qiegen Liu, Zhen Dong
2025	J	`jnl`	A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion. CoRR Fang Chen, Weifeng Zhang, Xingyu Ai, Bingxuan Li, An Li, Qiegen Liu
2025	J	`jnl`	ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain. CoRR Bin Huang, Kang Chen, Bingxuan Li, Huafeng Liu, Qiegen Liu
2025	J	`jnl`	Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction. CoRR Qinrong Cai, Yu Guan, Zhibo Chen, Dong Liang, Qiuyun Fan, Qiegen Liu
2025	J	`jnl`	Asymptotic Feedback Stabilization of Boolean Control Networks With Random Impulsive Disturbances. IEEE Trans. Cybern. Rongpei Zhou, Zhihao Tu, Qiegen Liu, Yuhao Wang, Xinzhi Liu
2025	J	`jnl`	Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework. CoRR Bin Huang, Binzhong He, Yanhan Chen, Zhili Liu, Xinyue Wang, Binxuan Li, Qiegen Liu
2025	J	`jnl`	Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction. CoRR Xin Xie, Yu Guan, Zhuoxu Cui, Dong Liang, Qiegen Liu
2025	J	`jnl`	Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction. CoRR Mengxiao Geng, Ran Hong, Bingxuan Li, Qiegen Liu
2025	J	`jnl`	ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting. CoRR Junyan Zhang, Yan Li, Mengxiao Geng, Liu Shi, Qiegen Liu
2025	B	`conf`	EyeTransGAN: End-to-End Generation of Corneal Fluorescein Staining Images from Anterior Segment Photography with Unsupervised Semantic Consistency. IJCNN Xin Long, Xinrui Liu, Weifeng Zhang, Zeyu Zhang, Shuangjun Wu, Fan Gan, Lei Chen, Qiegen Liu
2025	J	`jnl`	FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction. CoRR Qiqing Liu, Guoquan Wei, Zekun Zhou, Yiyang Wen, Liu Shi, Qiegen Liu
2025	—	`conf`	Generative Adversarial Network-Enhanced Hybrid Autoencoder Design for Downlink SCMA Systems. VTC2025-Fall Lisu Yu, Mingli Zhang, Xiaoman Zhou, Gaoyang Dong, Qiegen Liu
2025	J	`jnl`	Iterative Diffusion-Refined Neural Attenuation Fields for Multi-Source Stationary CT Reconstruction: NAF Meets Diffusion Model. CoRR Jiancheng Fang, Shaoyu Wang, Junlin Wang, Weiwen Wu, Yikun Zhang, Qiegen Liu
2025	J	`jnl`	K-Syn: K-space Data Synthesis in Ultra Low-data Regimes. CoRR Guan Yu, Zhang Jianhua, Dong Liang, Qiegen Liu
2025	J	`jnl`	LifelongPR: Lifelong knowledge fusion for point cloud place recognition based on replay and prompt learning. CoRR Xianghong Zou, Jianping Li, Zhe Chen, Zhen Cao, Zhen Dong, Qiegen Liu, Bisheng Yang
2025	J	`jnl`	Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction. CoRR Mengxiao Geng, Ran Hong, Xiaoling Xu, Bingxuan Li, Qiegen Liu
2025	J	`jnl`	Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction. CoRR Pengfei Yu, Bin Huang, Minghui Zhang, Weiwen Wu, Shaoyu Wang, Qiegen Liu
2025	J	`jnl`	PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space Learning. CoRR Bin Huang, Feihong Xu, Xinchong Shi, Shan Huang, Binxuan Li, Fei Li, Qiegen Liu
2025	J	`jnl`	PRO: Projection Domain Synthesis for CT Imaging. CoRR Kang Chen, Bin Huang, Xuebin Yang, Junyan Zhang, Qiegen Liu
2025	J	`jnl`	PWD: Prior-Guided and Wavelet-Enhanced Diffusion Model for Limited-Angle CT. CoRR Yi Liu, Yiyang Wen, Zekun Zhou, Junqi Ma, Linghang Wang, Yucheng Yao, Liu Shi, Qiegen Liu
2025	J	`jnl`	Physics-Guided Null-Space Diffusion with Sparse Masking for Corrective Sparse-View CT Reconstruction. CoRR Zekun Zhou, Yanru Gong, Liu Shi, Qiegen Liu
2025	J	`jnl`	Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion. CoRR Zekun Zhou, Tan Liu, Bing Yu, Yanru Gong, Liu Shi, Qiegen Liu
2025	J	`jnl`	Score-Based Generative Model With Conditional Null-Space Learning for Limited-Angle Tomographic Reconstruction in Medical Imaging. IEEE Trans. Computational Imaging Genyuan Zhang, Zihao Wang, Haijun Yu, Song Ni, Haixia Xie, Qiegen Liu, Fenglin Liu, Shaoyu Wang
2025	J	`jnl`	Tunable-Generalization Diffusion Powered by Self-Supervised Contextual Sub-Data for Low-Dose CT Reconstruction. CoRR Guoquan Wei, Zekun Zhou, Liu Shi, Wenzhe Shan, Qiegen Liu
2025	J	`jnl`	UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization. CoRR Xingyu Ai, Shaoyu Wang, Zhiyuan Jia, Ao Xu, Hongming Shan, Jianhua Ma, Qiegen Liu
2025	J	`jnl`	Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction. CoRR Zini Chen, Yao Xiao, Junyan Zhang, Shaoyu Wang, Liu Shi, Qiegen Liu
2024	J	`jnl`	AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning. CoRR Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang
2024	J	`jnl`	An Augmented Lagrangian Method-Based Deep Iterative Unrolling Network for Seismic Full-Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. Huilin Zhou, Ting Xie, Qiegen Liu, Shufan Hu
2024	J	`jnl`	Correlated and Multi-Frequency Diffusion Modeling for Highly Under-Sampled MRI Reconstruction. IEEE Trans. Medical Imaging Yu Guan, Chuanming Yu, Zhuoxu Cui, Huilin Zhou, Qiegen Liu
2024	J	`jnl`	DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models. CoRR Mengxiao Geng, Jiahao Zhu, Xiaolin Zhu, Qiqing Liu, Dong Liang, Qiegen Liu
2024	J	`jnl`	Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction. CoRR Bin Huang, Xubiao Liu, Lei Fang, Qiegen Liu, Bingxuan Li
2024	J	`jnl`	Dual-Domain Collaborative Diffusion Sampling for Multi-Source Stationary Computed Tomography Reconstruction. IEEE Trans. Medical Imaging Zirong Li, Dingyue Chang, Zhenxi Zhang, Fulin Luo, Qiegen Liu, Jianjia Zhang, Guang Yang, Weiwen Wu
2024	J	`jnl`	Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules. CoRR Jie Sun, Qian Xia, Chuanfu Sun, Yumei Chen, Huafeng Liu, Wentao Zhu, Qiegen Liu
2024	J	`jnl`	Invertible and Variable Augmented Network for Pretreatment Patient-Specific Quality Assurance Dose Prediction. J. Imaging Inform. Medicine Zhongsheng Zou, Changfei Gong, Lingpeng Zeng, Yu Guan, Bin Huang, Xiuwen Yu, Qiegen Liu, Minghui Zhang
2024	J	`jnl`	Low-Rank Angular Prior Guided Multi-Diffusion Model for Few-Shot Low-Dose CT Reconstruction. IEEE Trans. Computational Imaging Wenhao Zhang, Bin Huang, Shuyue Chen, Xiaoling Xu, Weiwen Wu, Qiegen Liu
2024	J	`jnl`	MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction. CoRR Pinhuang Tan, Mengxiao Geng, Jingya Lu, Liu Shi, Bin Huang, Qiegen Liu
2024	—	`conf`	Multimodal Self-Supervised Learning for Lesion Localization. ISBI Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang
2024	J	`jnl`	Optimal control of Boolean control networks with state-triggered impulses. Expert Syst. Appl. Shuhuai Tan, Rongpei Zhou, Yuhao Wang, Qiegen Liu, Xinzhi Liu
2024	J	`jnl`	Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction. CoRR Wenhao Zhang, Bin Huang, Shuyue Chen, Xiaoling Xu, Weiwen Wu, Qiegen Liu
2024	J	`jnl`	Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion. IEEE Trans. Medical Imaging Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Haifeng Wang, Yanjie Zhu, Yihang Zhou, Jianping Zhang, Qiegen Liu, Dong Liang
2024	J	`jnl`	RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction. CoRR Xingyu Ai, Bin Huang, Fang Chen, Liu Shi, Binxuan Li, Shaoyu Wang, Qiegen Liu
2024	—	`conf`	Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. ISBI Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang
2024	J	`jnl`	Stage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction. IEEE Trans. Medical Imaging Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu
2024	J	`jnl`	Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI Reconstruction. CoRR Yu Guan, Qinrong Cai, Wei Li, Qiuyun Fan, Dong Liang, Qiegen Liu
2024	J	`jnl`	TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling. CoRR Ruiquan Ge, Xiao Yu, Yifei Chen, Fan Jia, Shenghao Zhu, Guanyu Zhou, Yiyu Huang, Chenyan Zhang, Dong Zeng, Changmiao Wang, Qiegen Liu, Shanzhou Niu
2024	J	`jnl`	Wavelet-Improved Score-Based Generative Model for Medical Imaging. IEEE Trans. Medical Imaging Weiwen Wu, Yanyang Wang, Qiegen Liu, Ge Wang, Jianjia Zhang
2024	J	`jnl`	Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model. CoRR Yu Guan, Kunlong Zhang, Qi Qi, Dong Wang, Ziwen Ke, Shaoyu Wang, Dong Liang, Qiegen Liu
2024	J	`jnl`	st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction. CoRR Ran Hong, Yuxia Huang, Lei Liu, Zhonghui Wu, Bingxuan Li, Xuemei Wang, Qiegen Liu
2023	J	`jnl`	Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction. CoRR Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu
2023	J	`jnl`	Joint intensity-gradient guided generative modeling for colorization. Vis. Comput. Kuan Xiong, Kai Hong, Jin Li, Wanyun Li, Weidong Liao, Qiegen Liu
2023	J	`jnl`	One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction. IEEE Trans. Medical Imaging Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu
2023	J	`jnl`	PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging. IEEE ACM Trans. Comput. Biol. Bioinform. Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng
2023	J	`jnl`	PET Tracer Conversion among Brain PET via Variable Augmented Invertible Network. CoRR Bohui Shen, Wei Zhang, Xubiao Liu, Pengfei Yu, Shirui Jiang, Xinchong Shi, Xiangsong Zhang, Xiaoyu Zhou, Weirui Zhang, Bingxuan Li, Qiegen Liu
2023	J	`jnl`	Partition-based K-space Synthesis for Multi-contrast Parallel Imaging. CoRR Yuxia Huang, Zhonghui Wu, Xiaoling Xu, Minghui Zhang, Shanshan Wang, Qiegen Liu
2023	J	`jnl`	Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR 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
2023	J	`jnl`	Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction. CoRR Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu
2023	J	`jnl`	Super-Resolution of SAR Images With Speckle Noise Based on Combination of Cubature Kalman Filter and Low-Rank Approximation. IEEE Trans. Geosci. Remote. Sens. Xiaomei Luo, Ruifeng Bao, Zhuo Liu, Shengqi Zhu, Qiegen Liu
2023	J	`jnl`	Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction. CoRR Yu Guan, Bohui Shen, Xinchong Shi, Xiangsong Zhang, Bingxuan Li, Qiegen Liu
2023	J	`jnl`	Variable Augmented Network for Invertible Modality Synthesis and Fusion. IEEE J. Biomed. Health Informatics Yuhao Wang, Ruirui Liu, Zihao Li, Shanshan Wang, Cailian Yang, Qiegen Liu
2023	J	`jnl`	Wavelet Transform-Assisted Adaptive Generative Modeling for Colorization. IEEE Trans. Multim. Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
2022	J	`jnl`	Deep frequency-recurrent priors for inverse imaging reconstruction. Signal Process. Zhuonan He, Kai Hong, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu
2022	J	`jnl`	Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction. CoRR Bing Guan, Cailian Yang, Liu Zhang, Shanzhou Niu, Minghui Zhang, Yuhao Wang, Weiwen Wu, Qiegen Liu
2022	J	`jnl`	Generative Modeling in Structural-Hankel Domain for Color Image Inpainting. CoRR Zihao Li, Chunhua Wu, Shenglin Wu, Wenbo Wan, Yuhao Wang, Qiegen Liu
2022	J	`jnl`	K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction. CoRR Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang
2022	J	`jnl`	Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction. CoRR Wei Zhang, Zengwei Xiao, Hui Tao, Minghui Zhang, Xiaoling Xu, Qiegen Liu
2022	J	`jnl`	Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging. CoRR Hui Tao, Haifeng Wang, Shanshan Wang, Dong Liang, Xiaoling Xu, Qiegen Liu
2022	J	`jnl`	One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging. CoRR Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu
2022	J	`jnl`	One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction. CoRR Hong Peng, Chen Jiang, Yu Guan, Jing Cheng, Minghui Zhang, Dong Liang, Qiegen Liu
2022	J	`jnl`	RNMF-Guided Deep Network for Signal Separation of GPR Without Labeled Data. IEEE Geosci. Remote. Sens. Lett. Huilin Zhou, Yi Wang, Qiegen Liu, Yuhao Wang
2022	J	`jnl`	Range-Doppler Spectrograms-Based Graph-Relational Mapping for Clutter Rejection in HF Passive Radar. IEEE Geosci. Remote. Sens. Lett. Zhixin Zhao, Xin Chen, Yuhao Wang, Qiegen Liu, Huilin Zhou
2022	—	`conf`	Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. MLMIR@MICCAI Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang
2022	J	`jnl`	Rethinking the optimization process for self-supervised model-driven MRI reconstruction. CoRR Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang
2022	J	`jnl`	TRANS-Net: Transformer-Enhanced Residual-Error AlterNative Suppression Network for MRI Reconstruction. IEEE Trans. Instrum. Meas. Dianlin Hu, Yikun Zhang, Jianfeng Zhu, Qiegen Liu, Yang Chen
2022	—	`conf`	Universal Generative Modeling for Calibration-Free Parallel Mr Imaging. ISBI Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
2022	J	`jnl`	Universal Generative Modeling for Calibration-free Parallel Mr Imaging. CoRR Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
2022	J	`jnl`	Universal Generative Modeling in Dual-domain for Dynamic MR Imaging. CoRR Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu
2022	J	`jnl`	Variable Augmented Network for Invertible MR Coil Compression. CoRR Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu
2022	J	`jnl`	Virtual Coil Augmentation Technology for MRI via Deep Learning. CoRR Cailian Yang, Xianghao Liao, Yuhao Wang, Minghui Zhang, Qiegen Liu
2022	J	`jnl`	WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction. CoRR Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Minghui Zhang, Qiegen Liu, Dong Liang
2021	J	`jnl`	CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction. IEEE Trans. Computational Imaging Yikun Zhang, Tianling Lv, Rongjun Ge, Qianlong Zhao, Dianlin Hu, Liu Zhang, Jin Liu, Yi Zhang, Qiegen Liu, Wei Zhao, Yang Chen
2021	J	`jnl`	CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging. IEEE Trans. Medical Imaging Yikun Zhang, Dianlin Hu, Qianlong Zhao, Guotao Quan, Jin Liu, Qiegen Liu, Yi Zhang, Gouenou Coatrieux, Yang Chen, Hengyong Yu
2021	J	`jnl`	Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data. Biomed. Signal Process. Control. Shanshan Wang, Taohui Xiao, Qiegen Liu, Hairong Zheng
2021	J	`jnl`	Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction. Neurocomputing Siyuan Wang, Junjie Lv, Zhuonan He, Dong Liang, Yang Chen, Minghui Zhang, Qiegen Liu
2021	J	`jnl`	High-dimensional Assisted Generative Model for Color Image Restoration. CoRR Kai Hong, Chunhua Wu, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu
2021	J	`jnl`	Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. IEEE Trans. Medical Imaging Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu
2021	J	`jnl`	MRI Reconstruction Using Deep Energy-Based Model. CoRR Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang
2021	J	`jnl`	Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang
2021	J	`jnl`	Multi-wavelet guided deep mean-shift prior for image restoration. Signal Process. Image Commun. Minghui Zhang, Cailian Yang, Yuan Yuan, Yu Guan, Siyuan Wang, Qiegen Liu
2021	J	`jnl`	SPECIAL: Single-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT. IEEE Trans. Computational Imaging Dianlin Hu, Yikun Zhang, Jin Liu, Changping Du, Jinglin Zhang, Shouhua Luo, Guotao Quan, Qiegen Liu, Yang Chen, Limin Luo
2021	J	`jnl`	Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. CoRR Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
2021	—	`conf`	Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. MICCAI (6) Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
2021	J	`jnl`	Variable Augmented Network for Invertible Modality Synthesis-Fusion. CoRR Yuhao Wang, Ruirui Liu, Zihao Li, Cailian Yang, Qiegen Liu
2021	J	`jnl`	Wavelet Transform-assisted Adaptive Generative Modeling for Colorization. CoRR Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
2020	J	`jnl`	A comparative study of CNN-based super-resolution methods in MRI reconstruction and its beyond. Signal Process. Image Commun. Wei Zeng, Jie Peng, Shanshan Wang, Qiegen Liu
2020	J	`jnl`	Densely connected network for impulse noise removal. Pattern Anal. Appl. Guanyu Li, Xiaoling Xu, Minghui Zhang, Qiegen Liu
2020	J	`jnl`	High-dimensional embedding network derived prior for compressive sensing MRI reconstruction. Medical Image Anal. Minghui Zhang, Mengting Li, Jinjie Zhou, Yanjie Zhu, Shanshan Wang, Dong Liang, Yang Chen, Qiegen Liu
2020	J	`jnl`	Homotopic Gradients of Generative Density Priors for MR Image Reconstruction. CoRR Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu
2020	J	`jnl`	IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. IEEE Trans. Computational Imaging Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang
2020	J	`jnl`	Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model. CoRR Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu
2020	J	`jnl`	Iterative scheme-inspired network for impulse noise removal. Pattern Anal. Appl. Minghui Zhang, Yiling Liu, Guanyu Li, Binjie Qin, Qiegen Liu
2020	J	`jnl`	Joint Intensity-Gradient Guided Generative Modeling for Colorization. CoRR Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu
2020	J	`jnl`	Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration. IEEE Trans. Image Process. Sanqian Li, Binjie Qin, Jing Xiao, Qiegen Liu, Yuhao Wang, Dong Liang
2020	—	`conf`	Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. ISBI Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang
2020	J	`jnl`	Progressive Colorization via Iterative Generative Models. IEEE Signal Process. Lett. Jinjie Zhou, Kai Hong, Tao Deng, Yuhao Wang, Qiegen Liu
2020	J	`jnl`	Transformed denoising autoencoder prior for image restoration. J. Vis. Commun. Image Represent. Jinjie Zhou, Zhuonan He, Xiaodong Liu, Yuhao Wang, Shanshan Wang, Qiegen Liu
2019	—	`conf`	A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction. ISBI Wei Zeng, Jie Peng, Shanshan Wang, Zhicheng Li, Qiegen Liu, Dong Liang
2019	—	`conf`	A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging. EMBC Guanyu Li, Yiling Liu, Minghui Zhang, Shanshan Wang, Yanjie Zhu, Qiegen Liu, Dong Liang
2019	J	`jnl`	Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms. Pattern Recognit. Binjie Qin, Mingxin Jin, Dongdong Hao, Yisong Lv, Qiegen Liu, Yueqi Zhu, Song Ding, Jun Zhao, Baowei Fei
2019	J	`jnl`	Bi-path network coupling for single image super-resolution. Multim. Tools Appl. Yalin Yang, Qiegen Liu, Minghui Zhang, Yuhao Wang
2019	A*	`conf`	CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. AAAI Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu
2019	J	`jnl`	CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint. CoRR Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang
2019	J	`jnl`	Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction. CoRR Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu
2019	B	`conf`	High-Dimensional Embedding Denoising Autoencoding Prior for Color Image Restoration. ICIP Yuan Yuan, Jinjie Zhou, Zhuonan He, Shanshan Wang, Biao Xiong, Qiegen Liu
2019	J	`jnl`	IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. CoRR Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang
2019	J	`jnl`	LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset. CoRR Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng
2019	J	`jnl`	Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction. CoRR Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu
2019	J	`jnl`	MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang
2019	—	`conf`	Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019	J	`jnl`	Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019	J	`jnl`	Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning. CoRR Jing Cheng, Haifeng Wang, Yanjie Zhu, Qiegen Liu, Hairong Zheng, Leslie Ying, Dong Liang
2019	J	`jnl`	Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration. IEEE Access Minghui Zhang, Yuan Yuan, Fengqin Zhang, Siyuan Wang, Shanshan Wang, Qiegen Liu
2019	J	`jnl`	Multi-filters guided low-rank tensor coding for image inpainting. Signal Process. Image Commun. Qiegen Liu, Sanqian Li, Jing Xiao, Minghui Zhang
2019	J	`jnl`	Texture Variation Adaptive Image Denoising With Nonlocal PCA. IEEE Trans. Image Process. Wenzhao Zhao, Qiegen Liu, Yisong Lv, Binjie Qin
2019	J	`jnl`	VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising. J. Vis. Commun. Image Represent. Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang
2019	J	`jnl`	Variable augmented neural network for decolorization and multi-exposure fusion. Inf. Fusion Qiegen Liu, Henry Leung
2019	J	`jnl`	WpmDecolor: weighted projection maximum solver for contrast-preserving decolorization. Vis. Comput. Qiegen Liu, Sanqian Li, Jiaojiao Xiong, Binjie Qin
2019	—	`conf`	X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2019	J	`jnl`	X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2018	J	`jnl`	A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2018	J	`jnl`	Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding. IEEE Access Wenzhao Zhao, Yisong Lv, Qiegen Liu, Binjie Qin
2018	J	`jnl`	Field-of-Experts Filters Guided Tensor Completion. IEEE Trans. Multim. Biao Xiong, Qiegen Liu, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang
2018	J	`jnl`	Gradient-based low rank method and its application in image inpainting. Multim. Tools Appl. Hongyang Lu, Qiegen Liu, Minghui Zhang, Yuhao Wang, Xiaohua Deng
2018	J	`jnl`	Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging. IEEE Trans. Medical Imaging Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang
2018	J	`jnl`	Learning multi-denoising autoencoding priors for image super-resolution. J. Vis. Commun. Image Represent. Yankun Wang, Qiegen Liu, Huilin Zhou, Yuhao Wang
2018	J	`jnl`	MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration. Neurocomputing Hongyang Lu, Sanqian Li, Qiegen Liu, Minghui Zhang
2018	J	`jnl`	Parametric ratio-based method for efficient contrast-preserving decolorization. Multim. Tools Appl. Jiaojiao Xiong, Hongyang Lu, Qiegen Liu, Xiaoling Xu
2018	—	`conf`	Sparse-View CT Reconstruction via Robust and Multi-channels Autoencoding Priors. ISICDM Minghui Zhang, Fengqin Zhang, Qiegen Liu, Dong Liang
2018	J	`jnl`	Texture variation adaptive image denoising with nonlocal PCA. CoRR Wenzhao Zhao, Qiegen Liu, Yisong Lv, Binjie Qin
2017	J	`jnl`	A two-stage convolutional sparse prior model for image restoration. J. Vis. Commun. Image Represent. Jiaojiao Xiong, Qiegen Liu, Yuhao Wang, Xiaoling Xu
2017	J	`jnl`	A two-stage parametric subspace model for efficient contrast-preserving decolorization. Frontiers Inf. Technol. Electron. Eng. Hongyang Lu, Qiegen Liu, Yuhao Wang, Xiaohua Deng
2017	B	`conf`	Analysis-operator guided simultaneous tensor decomposition and completion. ICIP Jiaojiao Xiong, Sanqian Li, Qiegen Liu, Xiaoling Xu
2017	J	`jnl`	Extended RGB2Gray conversion model for efficient contrast preserving decolorization. Multim. Tools Appl. Qiegen Liu, Jiaojiao Xiong, Li Zhu, Minghui Zhang, Yuhao Wang
2017	J	`jnl`	Log-Euclidean Metrics for Contrast Preserving Decolorization. IEEE Trans. Image Process. Qiegen Liu, Guangpu Shao, Yuhao Wang, Junbin Gao, Henry Leung
2017	C	`conf`	Log-Euclidean metric for robust multi-modal deformable registration. FUSION Qiegen Liu, Henry Leung
2017	B	`conf`	MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration. ICIP Hongyang Lu, Sanqian Li, Qiegen Liu, Yuhao Wang
2017	J	`jnl`	Semiparametric Decolorization With Laplacian-Based Perceptual Quality Metric. IEEE Trans. Circuits Syst. Video Technol. Qiegen Liu, Peter Xiaoping Liu, Yuhao Wang, Henry Leung
2017	J	`jnl`	Sparse and dense hybrid representation via subspace modeling for dynamic MRI. Comput. Medical Imaging Graph. Qiegen Liu, Shanshan Wang, Dong Liang
2017	B	`conf`	Synthesis-analysis deconvolutional network for compressed sensing. ICIP Qiegen Liu, Henry Leung
2017	C	`conf`	Tensor-based descriptor for image registration via unsupervised network. FUSION Qiegen Liu, Henry Leung
2016	J	`jnl`	A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction. Int. J. Biomed. Imaging Hongyang Lu, Jingbo Wei, Qiegen Liu, Yuhao Wang, Xiaohua Deng
2016	J	`jnl`	A generalized relative total variation method for image smoothing. Multim. Tools Appl. Qiegen Liu, Biao Xiong, Dingcheng Yang, Minghui Zhang
2016	J	`jnl`	Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors. IEEE Trans. Medical Imaging Jingfei He, Qiegen Liu, Anthony G. Christodoulou, Chao Ma, Fan Lam, Zhi-Pei Liang
2016	J	`jnl`	Efficient noise reduction for interferometric phase image via non-local non-convex low-rank regularisation. IET Signal Process. Xiaomei Luo, Zhiyong Suo, Qiegen Liu, Xiangfeng Wang
2016	J	`jnl`	Reference Information Based Remote Sensing Image Reconstruction with Generalized Nonconvex Low-Rank Approximation. Remote. Sens. Hongyang Lu, Jingbo Wei, Lizhe Wang, Peng Liu, Qiegen Liu, Yuhao Wang, Xiaohua Deng
2015	J	`jnl`	GcsDecolor: Gradient Correlation Similarity for Efficient Contrast Preserving Decolorization. IEEE Trans. Image Process. Qiegen Liu, Peter X. Liu, Weisi Xie, Yuhao Wang, Dong Liang
2015	J	`jnl`	Human mouth-state recognition based on learned discriminative dictionary and sparse representation combined with homotopy. Multim. Tools Appl. Jianhua Wu, Jinqiang Zhu, Qiegen Liu, Ye Zhang
2014	J	`jnl`	A Weighted Two-Level Bregman Method with Dictionary Updating for Nonconvex MR Image Reconstruction. Int. J. Biomed. Imaging Qiegen Liu, Xi Peng, Jianbo Liu, Dingcheng Yang, Dong Liang
2014	J	`jnl`	A non-convex gradient fidelity-based variational model for image contrast enhancement. EURASIP J. Adv. Signal Process. Qiegen Liu, Jianbo Liu, Biao Xiong, Dong Liang
2014	—	`conf`	Adaptive dictionary learning in sparse gradient domain for CT reconstruction. ISBI Qiegen Liu, Minghui Zhang, Jun Zhao
2013	J	`jnl`	Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery. IEEE Trans. Image Process. Qiegen Liu, Shanshan Wang, Leslie Ying, Xi Peng, Yanjie Zhu, Dong Liang
2013	B	`conf`	Adaptive image decomposition via dictionary learning with stuctural incoherence. ICIP Qiegen Liu, Jianbo Liu, Dong Liang
2013	Misc	`conf`	An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering. ICASSP Qiegen Liu, Leslie Ying, Dong Liang
2013	J	`jnl`	Augmented Lagrangian-Based Sparse Representation Method with Dictionary Updating for Image Deblurring. SIAM J. Imaging Sci. Qiegen Liu, Dong Liang, Ying Song, Jianhua Luo, Yuemin Zhu, Wenshu Li
2013	J	`jnl`	Dictionary learning based impulse noise removal via L1-L1 minimization. Signal Process. Shanshan Wang, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, David Dagan Feng
2013	J	`jnl`	Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images. IEEE Trans. Image Process. Shanshan Wang, Yong Xia, Qiegen Liu, Pei Dong, David Dagan Feng, Jianhua Luo
2013	J	`jnl`	Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating. IEEE Trans. Medical Imaging Qiegen Liu, Shanshan Wang, Kun Yang, Jianhua Luo, Yuemin Zhu, Dong Liang
2013	A*	`conf`	SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition. ICCV Qiegen Liu, Jianbo Liu, Pei Dong, Dong Liang
2012	J	`jnl`	A novel predual dictionary learning algorithm. J. Vis. Commun. Image Represent. Qiegen Liu, Shanshan Wang, Jianhua Luo
2012	J	`jnl`	A parameter-adaptive iterative regularization model for image denoising. EURASIP J. Adv. Signal Process. Wenshu Li, Chao Zhao, Qiegen Liu, Qingjiang Shi, Shen Xu
2012	J	`jnl`	An augmented Lagrangian approach to general dictionary learning for image denoising. J. Vis. Commun. Image Represent. Qiegen Liu, Shanshan Wang, Jianhua Luo, Yuemin Zhu, Meng Ye
2012	J	`jnl`	Gabor feature based nonlocal means filter for textured image denoising. J. Vis. Commun. Image Represent. Shanshan Wang, Yong Xia, Qiegen Liu, Jianhua Luo, Yuemin Zhu, David Dagan Feng
2012	—	`conf`	High resolution magnetic resonance thermometry based on the partial separable function model. BMEI Yibiao Song, Caiyun Shi, Qiegen Liu, Yongqin Zhang, Xin Liu, Bensheng Qiu
2011	J	`jnl`	An augmented Lagrangian multi-scale dictionary learning algorithm. EURASIP J. Adv. Signal Process. Qiegen Liu, Jianhua Luo, Shanshan Wang, Moyan Xiao, Meng Ye
2009	—	`conf`	MRI Reconstruction Based on Inverse Scale Space and Contourlet Thresholding. BMEI Wenshu Li, Jianhua Luo, Qiegen Liu, Shenning Hu