Qiegen Liu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 114

Top Venues

CoRR

Multim. Tools Appl.

IEEE Trans. Medical Imaging

ISBI

Publications

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 (2024)
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 (2024)
Mengxiao Geng, Jiahao Zhu, Xiaolin Zhu, Qiqing Liu, Dong Liang, Qiegen Liu
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models. CoRR (2024)
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) (2024)
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 (2024)
Bin Huang, Xubiao Liu, Lei Fang, Qiegen Liu, Bingxuan Li
Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction. CoRR (2024)
Shuhuai Tan, Rongpei Zhou, Yuhao Wang, Qiegen Liu, Xinzhi Liu
Optimal control of Boolean control networks with state-triggered impulses. Expert Syst. Appl. 252 (2024)
Pinhuang Tan, Mengxiao Geng, Jingya Lu, Liu Shi, Bin Huang, Qiegen Liu
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction. CoRR (2024)
Kai Xu, Shiyu Lu, Bin Huang, Weiwen Wu, Qiegen Liu
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction. CoRR (2023)
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 (2023)
Yuxia Huang, Zhonghui Wu, Xiaoling Xu, Minghui Zhang, Shanshan Wang, Qiegen Liu
Partition-based K-space Synthesis for Multi-contrast Parallel Imaging. CoRR (2023)
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) (2023)
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 (2023)
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) (2023)
Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
Wavelet Transform-Assisted Adaptive Generative Modeling for Colorization. IEEE Trans. Multim. 25 (2023)
Kuan Xiong, Kai Hong, Jin Li, Wanyun Li, Weidong Liao, Qiegen Liu
Joint intensity-gradient guided generative modeling for colorization. Vis. Comput. 39 (12) (2023)
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 (2023)
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) (2023)
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 (2023)
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 (2023)
Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
Universal Generative Modeling for Calibration-free Parallel Mr Imaging. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
Hui Tao, Haifeng Wang, Shanshan Wang, Dong Liang, Xiaoling Xu, Qiegen Liu
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging. CoRR (2022)
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 (2022)
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 (2022)
Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging. CoRR (2022)
Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu
Variable Augmented Network for Invertible MR Coil Compression. CoRR (2022)
Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
Universal Generative Modeling for Calibration-Free Parallel Mr Imaging. ISBI (2022)
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 (2022)
Cailian Yang, Xianghao Liao, Yuhao Wang, Minghui Zhang, Qiegen Liu
Virtual Coil Augmentation Technology for MRI via Deep Learning. CoRR (2022)
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 (2022)
Zihao Li, Chunhua Wu, Shenglin Wu, Wenbo Wan, Yuhao Wang, Qiegen Liu
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting. CoRR (2022)
Zhuonan He, Kai Hong, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu
Deep frequency-recurrent priors for inverse imaging reconstruction. Signal Process. 190 (2022)
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 (2022)
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)
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 (2022)
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)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
Kai Hong, Chunhua Wu, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu
High-dimensional Assisted Generative Model for Color Image Restoration. CoRR (2021)
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 (2021)
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) (2021)
Yuhao Wang, Ruirui Liu, Zihao Li, Cailian Yang, Qiegen Liu
Variable Augmented Network for Invertible Modality Synthesis-Fusion. CoRR (2021)
Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization. CoRR (2021)
Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang
MRI Reconstruction Using Deep Energy-Based Model. CoRR (2021)
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) (2021)
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 (2021)
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 (2021)
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 (2020)
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 (2020)
Minghui Zhang, Yiling Liu, Guanyu Li, Binjie Qin, Qiegen Liu
Iterative scheme-inspired network for impulse noise removal. Pattern Anal. Appl. 23 (1) (2020)
Jinjie Zhou, Kai Hong, Tao Deng, Yuhao Wang, Qiegen Liu
Progressive Colorization via Iterative Generative Models. IEEE Signal Process. Lett. 27 (2020)
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 (2020)
Guanyu Li, Xiaoling Xu, Minghui Zhang, Qiegen Liu
Densely connected network for impulse noise removal. Pattern Anal. Appl. 23 (3) (2020)
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)
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 (2020)
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 (2020)
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 (2020)
Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu
Joint Intensity-Gradient Guided Generative Modeling for Colorization. CoRR (2020)
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)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) (2019)
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 (2019)
Qiegen Liu, Henry Leung
Variable augmented neural network for decolorization and multi-exposure fusion. Inf. Fusion 46 (2019)
Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang
VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising. J. Vis. Commun. Image Represent. 62 (2019)
Yuan Yuan, Jinjie Zhou, Zhuonan He, Shanshan Wang, Biao Xiong, Qiegen Liu
High-Dimensional Embedding Denoising Autoencoding Prior for Color Image Restoration. ICIP (2019)
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 (2019)
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)
Yalin Yang, Qiegen Liu, Minghui Zhang, Yuhao Wang
Bi-path network coupling for single image super-resolution. Multim. Tools Appl. 78 (15) (2019)
Wenzhao Zhao, Qiegen Liu, Yisong Lv, Binjie Qin
Texture Variation Adaptive Image Denoising With Nonlocal PCA. IEEE Trans. Image Process. 28 (11) (2019)
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 (2019)
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)
Qiegen Liu, Sanqian Li, Jing Xiao, Minghui Zhang
Multi-filters guided low-rank tensor coding for image inpainting. Signal Process. Image Commun. 73 (2019)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR (2019)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI. CoRR (2019)
Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu
Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction. CoRR (2019)
Qiegen Liu, Sanqian Li, Jiaojiao Xiong, Binjie Qin
WpmDecolor: weighted projection maximum solver for contrast-preserving decolorization. Vis. Comput. 35 (2) (2019)
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 (2019)
Jing Xiao, Liang Liao, Qiegen Liu, Ruimin Hu
CISI-net: Explicit Latent Content Inference and Imitated Style Rendering for Image Inpainting. AAAI (2019)
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)
Biao Xiong, Qiegen Liu, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang
Field-of-Experts Filters Guided Tensor Completion. IEEE Trans. Multim. 20 (9) (2018)
Wenzhao Zhao, Qiegen Liu, Yisong Lv, Binjie Qin
Texture variation adaptive image denoising with nonlocal PCA. CoRR (2018)
Jiaojiao Xiong, Hongyang Lu, Qiegen Liu, Xiaoling Xu
Parametric ratio-based method for efficient contrast-preserving decolorization. Multim. Tools Appl. 77 (12) (2018)
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) (2018)
Hongyang Lu, Sanqian Li, Qiegen Liu, Minghui Zhang
MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration. Neurocomputing 303 (2018)
Minghui Zhang, Fengqin Zhang, Qiegen Liu, Dong Liang
Sparse-View CT Reconstruction via Robust and Multi-channels Autoencoding Priors. ISICDM (2018)
Yankun Wang, Qiegen Liu, Huilin Zhou, Yuhao Wang
Learning multi-denoising autoencoding priors for image super-resolution. J. Vis. Commun. Image Represent. 57 (2018)
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) (2018)
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) (2018)
Wenzhao Zhao, Yisong Lv, Qiegen Liu, Binjie Qin
Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding. IEEE Access 6 (2018)
Qiegen Liu, Shanshan Wang, Dong Liang
Sparse and dense hybrid representation via subspace modeling for dynamic MRI. Comput. Medical Imaging Graph. 56 (2017)
Qiegen Liu, Henry Leung
Log-Euclidean metric for robust multi-modal deformable registration. FUSION (2017)

Qiegen Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Qiegen Liu