Qiegen Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Diffusion transformer model with compact prior for low-dose PET reconstruction	2025	Bin Huang Xubiao Liu Fang Lei Qiegen Liu Bingxuan Li
+ PDF Chat	Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion	2025	Zheng Zhou Tan Liu Bing Yu Yuhang Gong Shi Liu Qiegen Liu
+	Therapeutic dose prediction using score-based diffusion model for pretreatment patient-specific quality assurance	2025	Xiuwen Yu Jiabin Lin Changfei Gong Minhui Zhang Xianyu Luo Qiegen Liu Yun Zhang
+ PDF Chat	Enhanced third-harmonic generation empowered by doubly degenerate quasi-bound states in the continuum	2024	Tingting Liu Meibao Qin Jumin Qiu Tu Xu H. Qiu Feng Wu Tianbao Yu Qiegen Liu Shuyuan Xiao
+ PDF Chat	Multiplexed Metasurfaces for Diffractive Optics via Phase Correlation Method	2024	Chenxuan Xiang Jumin Qiu Qiegen Liu Shuyuan Xiao Tingting Liu
+ PDF Chat	Continuous Varifocal Metalens Based on Phase-Change Material	2024	Yilong Cui Liang Hou Kenan Guo Yue Jiang Qiegen Liu Shuyuan Xiao Tingting Liu
+ PDF Chat	Partition-based K-space synthesis for multi-contrast parallel imaging	2024	Yuxia Huang Zhonghui Wu Xiaoling Xu Minghui Zhang Shanshan Wang Qiegen Liu
+ PDF Chat	RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction	2024	X. Ai Bin Huang Fang Chen Liu Shi Binxuan Li Shaoyu Wang Qiegen Liu
+ PDF Chat	Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model	2024	Guan Yu Xinliang Zhang Qi Qi Dong Wang Ziming Ke Shaoyu Wang Dong Liang Qiegen Liu
+ PDF Chat	Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI Reconstruction	2024	Guan Yu Qingyun Cai Li Wei Qiuyun Fan Dong Liang Qiegen Liu
+ PDF Chat	Edge Detection Imaging by Quasi-Bound States in the Continuum	2024	Tingting Liu Jumin Qiu Lei Xu Meibao Qin Lipeng Wan Tianbao Yu Qiegen Liu Lujun Huang Shuyuan Xiao
+ PDF Chat	Edge detection imaging by quasi-bound states in the continuum	2024	Tingting Liu Jumin Qiu Lei Xu Meibao Qin Lipeng Wan Tianbao Yu Qiegen Liu Lujun Huang Shuyuan Xiao
+ PDF Chat	TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling	2024	Ruiquan Ge Yu Xiao Yifei Chen Fan Jia Shenghao Zhu Guanyu Zhou Yiyu Huang Chenyan Zhang Dongfang Zeng Changmiao Wang
+ PDF Chat	Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction	2024	Bin Huang Xubiao Liu Fang Lei Qiegen Liu Bingxuan Li
+ PDF Chat	Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction	2024	Wenhao Zhang Huang Bin Shuyue Chen XU Xiao-ling Wei‐Wen Wu Qiegen Liu
+ PDF Chat	Multimodal Self-Supervised Learning for Lesion Localization	2024	Hao Yang Hong-Yu Zhou Cheng Li Weijian Huang Jiarun Liu Yong Liang Guangming Shi Hairong Zheng Qiegen Liu Shanshan Wang
+ PDF Chat	Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging	2024	Jing Yang Jian Cheng Cheng Li Wenxin Fan Juan Zou Ruoyou Wu Qiegen Liu Hairong Zheng Shanshan Wang
+ PDF Chat	DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models	2024	Mengxiao Geng Jiahao Zhu Xiaolin Zhu Q. Liu Liang Dong Qiegen Liu
+ PDF Chat	MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction	2024	Pinhuang Tan Mengxiao Geng Jingya Lu Liu Shi Bin Huang Qiegen Liu
+	Self-Supervised Learning of Physics-Guided Deep Unfolding Parallel Networks for Solving Nonlinear Inverse Scattering Problems	2024	Huilin Zhou Chenglin Xu Yang Cheng Qiegen Liu Shufan Hu Yuhao Wang
+ PDF Chat	Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning	2024	Shanshan Wang Ruoyou Wu Sen Jia Alou Diakite Cheng Li Qiegen Liu Leslie Ying
+	AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning	2024	Wenxin Fan Jian Cheng Cheng Li Xinrui Ma Jing Yang Juan Zou Ruoyou Wu Qiegen Liu Shanshan Wang
+ PDF Chat	Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction	2024	Kai Xu Shiyu Lu Bin Huang Wei‐Wen Wu Qiegen Liu
+ PDF Chat	Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction	2024	Yu Guan Chuanming Yu Zhuo‐Xu Cui Huilin Zhou Qiegen Liu
+ PDF Chat	Generative Modeling in Structural-Hankel Domain for Color Image Inpainting	2024	Zihao Li Mengxiao Geng Wenbo Wan Yuhao Wang Qiegen Liu
+ PDF Chat	Generative Modeling in Sinogram Domain for Sparse-View CT Reconstruction	2023	Bing Guan Cailian Yang Liu Zhang Shanzhou Niu Minghui Zhang Yuhao Wang Weiwen Wu Qiegen Liu
+ PDF Chat	Low-rank tensor assisted K-space generative model for parallel imaging reconstruction	2023	Wei Zhang Zengwei Xiao Hui Tao Minghui Zhang Xiaoling Xu Qiegen Liu
+ PDF Chat	One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction	2023	Hong Peng Chen Jiang Jing Cheng Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu
+ PDF Chat	K-space and image domain collaborative energy-based model for parallel MRI reconstruction	2023	Zongjiang Tu Chen Jiang Yu Guan Jijun Liu Qiegen Liu
+	Model-based Federated Learning for Accurate MR Image Reconstruction from Undersampled k-space Data	2023	Ruoyou Wu Cheng Li Juan Zou Qiegen Liu Hairong Zheng Shanshan Wang
+	Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction	2023	Kai Xu Shiyu Lu Bin Huang Weiwen Wu Qiegen Liu
+	Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation	2023	Zhuo‐Xu Cui Congcong Liu Xiaohong Fan Chentao Cao Jing Cheng Qingyong Zhu Yuanyuan Liu Sen Jia Yihang Zhou Haifeng Wang
+	Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction	2023	Guan Yu Chuanming Yu Shiyu Lu Zhuo‐Xu Cui Dong Liang Qiegen Liu
+	Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction	2023	Yu Guan Bohui Shen Xinchong Shi Xiangsong Zhang Bingxuan Li Qiegen Liu
+	PET Tracer Conversion among Brain PET via Variable Augmented Invertible Network	2023	Bohui Shen Wei Zhang Xubiao Liu Pengfei Yu Shirui Jiang Xinchong Shi Xiangsong Zhang X. K. Zhou Weirui Zhang Bingxuan Li
+ PDF Chat	Multi-weight respecification of scan-specific learning for parallel imaging	2022	Hui Tao Wei Zhang Haifeng Wang Shanshan Wang Dong Liang Xiaoling Xu Qiegen Liu
+ PDF Chat	Joint intensity–gradient guided generative modeling for colorization	2022	Kuan Xiong Kai Hong Jin Li Wanyun Li Liao Wei-dong Qiegen Liu
+ PDF Chat	PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging	2022	Shanshan Wang Ruoyou Wu Cheng Li Juan Zou Ziyao Zhang Qiegen Liu Yan Xi Hairong Zheng
+ PDF Chat	Wavelet Transform-Assisted Adaptive Generative Modeling for Colorization	2022	Jin Li Wanyun Li Zichen Xu Yuhao Wang Qiegen Liu
+ PDF Chat	Universal Generative Modeling for Calibration-Free Parallel Mr Imaging	2022	Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu
+ PDF Chat	Iterative Reconstruction for Low-Dose CT Using Deep Gradient Priors of Generative Model	2022	Zhuonan He Yikun Zhang Yu Guan Bing Guan Shanzhou Niu Yi Zhang Yang Chen Qiegen Liu
+	Highly undersampling dynamic cardiac MRI based on low-rank tensor coding	2022	Die Liu Jinjie Zhou Miaomiao Meng Fan Zhang Minghui Zhang Qiegen Liu
+	K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction	2022	Zongjiang Tu Chen Jiang Yu Guan Shanshan Wang Jijun Liu Qiegen Liu Dong Liang
+	PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging	2022	Shanshan Wang Ruoyou Wu Cheng Li Juan Zou Xin Liu Qiegen Liu Yan Xi Hairong Zheng
+ PDF Chat	Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction	2022	Weijian Huang Cheng Li Wenxin Fan Ziyao Zhang Tong Zhang Yongjin Zhou Qiegen Liu Shanshan Wang
+	Variable Augmented Network for Invertible MR Coil Compression	2022	Xianghao Liao Shanshan Wang Lanlan Tu Yuhao Wang Dong Liang Qiegen Liu
+	Virtual Coil Augmentation Technology for MR Coil Extrapolation via Deep Learning	2022	Cailian Yang Xianghao Liao Yuhao Wang Minghui Zhang Qiegen Liu
+	Rethinking the optimization process for self-supervised model-driven MRI reconstruction	2022	Weijian Huang Cheng Li Wenxin Fan Yongjin Zhou Qiegen Liu Hairong Zheng Shanshan Wang
+	WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction	2022	Zongjiang Tu Die Liu Xiaoqing Wang Chen Jiang Minghui Zhang Qiegen Liu Dong Liang
+	Universal Generative Modeling for Calibration-free Parallel Mr Imaging	2022	Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu
+	One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction	2022	Hong Peng Chen Jiang Yu Guan Jing Cheng Minghui Zhang Dong Liang Qiegen Liu
+	Generative Modeling in Structural-Hankel Domain for Color Image Inpainting	2022	Zihao Li Chunhua Wu Shenglin Wu Wenbo Wan Yuhao Wang Qiegen Liu
+	Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction	2022	Bing Guan Cailian Yang Liu Zhang Shanzhou Niu Minghui Zhang Yuhao Wang Weiwen Wu Qiegen Liu
+	One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging	2022	Bin Huang Liu Zhang Shiyu Lu Boyu Lin Weiwen Wu Qiegen Liu
+	Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction	2022	Wei Zhang Zengwei Xiao Hui Tao Minghui Zhang Xiaoling Xu Qiegen Liu
+	Universal Generative Modeling in Dual-domain for Dynamic MR Imaging	2022	Chuanming Yu Yu Guan Ziwen Ke Dong Liang Qiegen Liu
+	Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging	2022	Hui Tao Haifeng Wang Shanshan Wang Dong Liang Xiaoling Xu Qiegen Liu
+	Linear electromagnetic inverse scattering via generative adversarial networks	2021	Huilin Zhou Huimin Zheng Qiegen Liu Jian Liu Yuhao Wang
+ PDF Chat	Homotopic Gradients of Generative Density Priors for MR Image Reconstruction	2021	Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu
+ PDF Chat	Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data	2021	Shanshan Wang Taohui Xiao Qiegen Liu Hairong Zheng
+ PDF Chat	Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstruction	2021	Siyuan Wang Junjie Lv Zhuonan He Dong Liang Yang Chen Minghui Zhang Qiegen Liu
+	High-dimensional Assisted Generative Model for Color Image Restoration	2021	Kai Hong Chunhua Wu Cailian Yang Minghui Zhang Yancheng Lu Yuhao Wang Qiegen Liu
+	Variable Augmented Network for Invertible Modality Synthesis-Fusion	2021	Yuhao Wang Ruirui Liu Zihao Li Cailian Yang Qiegen Liu
+ PDF Chat	Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework	2021	Hu Chen Cheng Li Haifeng Wang Qiegen Liu Hairong Zheng Shanshan Wang
+	Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework	2021	Hu Chen Cheng Li Haifeng Wang Qiegen Liu Hairong Zheng Shanshan Wang
+	MRI Reconstruction Using Deep Energy-Based Model	2021	Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang
+ PDF Chat	Linear-Model-Inspired Neural Network for Electromagnetic Inverse Scattering	2020	Huilin Zhou Tao Ouyang Yadan Li Jian Liu Qiegen Liu
+	Linear-Model-inspired Neural Network for Electromagnetic Inverse Scattering	2020	Huilin Zhou Tao Ouyang Yadan Li Jian Liu Qiegen Liu
+	Homotopic Gradients of Generative Density Priors for MR Image Reconstruction	2020	Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu
+	Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data	2020	Shanshan Wang Taohui Xiao Qiegen Liu Hairong Zheng
+	Joint Intensity-Gradient Guided Generative Modeling for Colorization	2020	Kai Hong Jin Li Wanyun Li Cailian Yang Minghui Zhang Yuhao Wang Qiegen Liu
+	Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model	2020	Zhuonan He Yikun Zhang Guan Yu Shanzhou Niu Yi Zhang Yang Chen Qiegen Liu
+ PDF Chat	IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI	2019	Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang
+	Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction	2019	Zhuonan He Jinjie Zhou Dong Liang Yuhao Wang Qiegen Liu
+	Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction	2019	Siyuan Wang Junjie Lv Yuanyuan Hu Dong Liang Minghui Zhang Qiegen Liu
+	Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning.	2019	Jing Cheng Haifeng Wang Yanjie Zhu Qiegen Liu Hairong Zheng Leslie Ying Dong Liang
+ PDF Chat	Texture Variation Adaptive Image Denoising With Nonlocal PCA	2019	Wenzhao Zhao Qiegen Liu Yisong Lv Binjie Qin
+	CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint	2019	Ziwen Ke Shanshan Wang Huitao Cheng Leslie Ying Qiegen Liu Hairong Zheng Dong Liang
+ PDF Chat	X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies	2019	Kehan Qi Hao Yang Cheng Li Zaiyi Liu Meiyun Wang Qiegen Liu Shanshan Wang
+	Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging	2019	Yanxia Chen Taohui Xiao Cheng Li Qiegen Liu Shanshan Wang
+	LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset	2019	Shanshan Wang Yanxia Chen Taohui Xiao Ziwen Ke Qiegen Liu Hairong Zheng
+	Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning	2019	Jing Cheng Haifeng Wang Yanjie Zhu Qiegen Liu Qiyang Zhang Ting Su Jianwei Chen Yongshuai Ge Zhanli Hu Xin Liu
+	IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI	2019	Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang
+ PDF Chat	Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging	2019	Yanxia Chen Taohui Xiao Cheng Li Qiegen Liu Shanshan Wang
+	Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction	2019	Siyuan Wang Junjie Lv Yuanyuan Hu Dong Liang Minghui Zhang Qiegen Liu
+	MF-LRTC: Multi-filters guided low-rank tensor coding for image restoration	2018	Hongyang Lu Sanqian Li Qiegen Liu Minghui Zhang
+	Field-of-Experts Filters Guided Tensor Completion	2018	Biao Xiong Qiegen Liu Jiaojiao Xiong Sanqian Li Shanshan Wang Dong Liang
+	Analysis-operator guided simultaneous tensor decomposition and completion	2017	Jiaojiao Xiong Sanqian Li Qiegen Liu Xiaoling Xu
+ PDF Chat	Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors	2016	Jingfei He Qiegen Liu Anthony G. Christodoulou Chao Ma Fan Lam Zhi‐Pei Liang
+	A generalized two-level Bregman method with dictionary updating for non-convex magnetic resonance imaging reconstruction	2015	Minghui Zhang Xiaoyang He Shen-yuan Du Qiegen Liu
+	Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating	2013	Qiegen Liu Shanshan Wang Kun Yang Jianhua Luo Yuemin Zhu Dong Liang

Common Coauthors

Coauthor	Papers Together
Shanshan Wang	31
Dong Liang	15
Hairong Zheng	13
Minghui Zhang	13
Yuhao Wang	12
Cheng Li	8
Haifeng Wang	6
Minghui Zhang	6
Cailian Yang	6
Shuyuan Xiao	5
Taohui Xiao	5
Dong Liang	5
Shanzhou Niu	5
Bing Guan	5
Huilin Zhou	5
Guan Yu	4
Jing Cheng	4
Yu Guan	4
Ruoyou Wu	4
Zongjiang Tu	4
Leslie Ying	4
Wenxin Fan	4
Juan Zou	4
Jumin Qiu	4
Zhuonan He	4
Yang Chen	4
Jinjie Zhou	4
Weiwen Wu	4
Zhuo‐Xu Cui	3
Chuanming Yu	3
Yanjie Zhu	3
Xiaoling Xu	3
Hui Tao	3
Kai Hong	3
Tianbao Yu	3
Xiaoling Xu	3
Shiyu Lu	3
Ziwen Ke	3
Sanqian Li	3
Jin Li	3
Meibao Qin	3
Chen Jiang	3
Jian Liu	3
Yu Guan	3
Tingting Liu	3
Mengxiao Geng	3
Bin Huang	3
Siyuan Wang	3
Xianghao Liao	2
Yuanzheng Zhu	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	MoDL: Model-Based Deep Learning Architecture for Inverse Problems	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob	19
+	Learning a variational network for reconstruction of accelerated MRI data	2017	Kerstin Hammernik Teresa Klatzer Erich Kobler Michael P. Recht Daniel K. Sodickson Thomas Pock Florian Knöll	19
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	18
+ PDF Chat	Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction	2018	Chen Qin Jo Schlemper José Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert	12
+ PDF Chat	MR Image Reconstruction Using Deep Density Priors	2018	Kerem Can Tezcan Christian F. Baumgartner Roger Luechinger Klaas P. Pruessmann Ender Konukoğlu	11
+	Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating	2013	Qiegen Liu Shanshan Wang Kun Yang Jianhua Luo Yuemin Zhu Dong Liang	9
+ PDF Chat	Image reconstruction by domain-transform manifold learning	2018	Bo Zhu Jeremiah Zhe Liu Stephen Cauley Bruce R. Rosen Matthew S. Rosen	9
+ PDF Chat	A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	8
+ PDF Chat	Homotopic Gradients of Generative Density Priors for MR Image Reconstruction	2021	Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu	8
+ PDF Chat	ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing	2018	Jian Zhang Bernard Ghanem	8
+ PDF Chat	IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI	2019	Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang	8
+	Generative Modeling by Estimating Gradients of the Data Distribution	2019	Yang Song Stefano Ermon	8
+ PDF Chat	Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks	2018	Dongwook Lee Jaejun Yoo Sungho Tak Jong Chul Ye	8
+ PDF Chat	Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss	2018	Tran Minh Quan Thanh Nguyen-Duc Won-Ki Jeong	8
+	Compressed sensing	2006	David L. Donoho	7
+ PDF Chat	Deep learning with domain adaptation for accelerated projection‐reconstruction MR	2018	Yoseob Han Jaejun Yoo Hak Hee Kim Hee Jung Shin Kyunghyun Sung Jong Chul Ye	7
+ PDF Chat	Deep Convolutional Neural Network for Inverse Problems in Imaging	2017	Kyong Hwan Jin Michael T. McCann Emmanuel Froustey Michaël Unser	6
+ PDF Chat	${k}$ -Space Deep Learning for Accelerated MRI	2019	Yoseob Han Leonard Sunwoo Jong Chul Ye	6
+	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI	2018	Jure Žbontar Florian Knöll Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	6
+ PDF Chat	An Iterative Regularization Method for Total Variation-Based Image Restoration	2005	Stanley Osher Martin Burger Donald Goldfarb Jinjun Xu Wotao Yin	6
+ PDF Chat	DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution	2020	Shanshan Wang Huitao Cheng Leslie Ying Taohui Xiao Ziwen Ke Hairong Zheng Dong Liang	6
+ PDF Chat	Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction	2015	Zhifang Zhan Jian‐Feng Cai Di Guo Yunsong Liu Zhong Chen Xiaobo Qu	6
+ PDF Chat	RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation	2017	Guosheng Lin Anton Milan Chunhua Shen Ian Reid	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors	2016	Jingfei He Qiegen Liu Anthony G. Christodoulou Chao Ma Fan Lam Zhi‐Pei Liang	5
+	The Split Bregman Method for L1-Regularized Problems	2009	Tom Goldstein Stanley Osher	5
+ PDF Chat	DIMENSION: Dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training	2019	Shanshan Wang Ziwen Ke Huitao Cheng Sen Jia Leslie Ying Hairong Zheng Dong Liang	5
+	Generative Modeling by Estimating Gradients of the Data Distribution	2019	Yang Song Stefano Ermon	5
+ PDF Chat	DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering	2018	Lianlin Li Long Gang Wang Fernando L. Teixeira Che Liu Arye Nehorai Tie Jun Cui	4
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	4
+ PDF Chat	Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data	2021	Shanshan Wang Taohui Xiao Qiegen Liu Hairong Zheng	4
+	Deep learning for undersampled MRI reconstruction	2018	Chang Min Hyun Hwa Pyung Kim Sung Min Lee Sung Chul Lee Jin Keun Seo	4
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	4
+	A contrast source inversion method	1997	P.M. van den Berg R. E. Kleinman	4
+	Sample Complexity of Testing the Manifold Hypothesis	2010	Hariharan Narayanan Sanjoy K. Mitter	4
+ PDF Chat	Learned Primal-Dual Reconstruction	2018	Jonas Adler Ozan Öktem	4
+ PDF Chat	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction	2020	Anuroop Sriram Jure Žbontar Tullie Murrell C. Lawrence Zitnick Aaron Defazio Daniel K. Sodickson	4
+	Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.	2020	Adam Block Youssef Mroueh Alexander Rakhlin	4
+	Tensor completion using total variation and low-rank matrix factorization	2015	Teng-Yu Ji Ting‐Zhu Huang Xi-Le Zhao Tian-Hui Ma Gang Liu	4
+ PDF Chat	Solving ill-posed inverse problems using iterative deep neural networks	2017	Jonas Adler Ozan Öktem	4
+ PDF Chat	COCO-Stuff: Thing and Stuff Classes in Context	2018	Holger Caesar Jasper Uijlings Vittorio Ferrari	3
+ PDF Chat	Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network	2017	Hu Chen Yi Zhang Mannudeep K. Kalra Feng Lin Yang Chen Peixi Liao Jiliu Zhou Ge Wang	3
+ PDF Chat	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	2017	Kai Zhang Wangmeng Zuo Yunjin Chen Deyu Meng Lei Zhang	3
+ PDF Chat	Learning Diverse Image Colorization	2017	Aditya Deshpande Jiajun Lu Mao-Chuang Yeh Min Jin Chong David Forsyth	3
+ PDF Chat	Tensor factorization using auxiliary information	2012	Atsuhiro Narita Kohei Hayashi Ryota Tomioka Hisashi Kashima	3
+	A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data	2010	Junfeng Yang Yin Zhang Wotao Yin	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Subspace-Based Optimization Method for Solving Inverse-Scattering Problems	2009	Xudong Chen	3
+	Simultaneous Tensor Decomposition and Completion Using Factor Priors	2013	Yilei Chen Chiou-Ting Hsu Hong-Yuan Mark Liao	3
+	Image Restoration using Autoencoding Priors	2017	Siavash Arjomand Bigdeli Matthias Zwicker	3