Zi Wang

According to our database, Zi Wang authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MRI reconstruction with enhanced self-similarity using graph convolutional network.

Qiaoyu Ma, Zongying Lai, Zi Wang, Yiran Qiu, Haotian Zhang, Xiaobo Qu

BMC Medical Imaging, December, 2024

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging.

Zi Wang, Haoming Fang, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu

IEEE J. Biomed. Health Informatics, April, 2024

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang

CoRR, 2024

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI.

Yirong Zhou, Chengyan Wang, Mengtian Lu, Kunyuan Guo, Zi Wang, Dan Ruan, Rui Guo, Peijun Zhao, Jianhua Wang, Naiming Wu, Jianzhong Lin, Yinyin Chen, Hang Jin, Lianxin Xie, Lilan Wu, Liuhong Zhu, Jianjun Zhou, Congbo Cai, He Wang, Xiaobo Qu

CoRR, 2024

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI.

Zi Wang, Min Xiao, Yirong Zhou, Chengyan Wang, Naiming Wu, Yi Li, Yiwen Gong, Shufu Chang, Yinyin Chen, Liuhong Zhu, Jianjun Zhou, Congbo Cai, He Wang, Di Guo, Guang Yang, Xiaobo Qu

CoRR, 2024

2023

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging.

Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu

IEEE Trans. Biomed. Eng., December, 2023

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy.

Zi Wang, Di Guo, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization.

Yihui Huang, Jinkui Zhao, Zi Wang, Vladislav Orekhov, Di Guo, Xiaobo Qu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence.

Qinqin Yang, Zi Wang, Kunyuan Guo, Congbo Cai, Xiaobo Qu

IEEE Signal Process. Mag., March, 2023

One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI.

Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu

IEEE Trans. Medical Imaging, 2023

XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures.

Di Guo, Zhangren Tu, Yi Guo, Yirong Zhou, Jian Wang, Zi Wang, Tianyu Qiu, Min Xiao, Yinran Chen, Liubin Feng, Yuqing Huang, Donghai Lin, Qing Hong, Amir Goldbourt, Meijin Lin, Xiaobo Qu

IEEE Trans. Computational Imaging, 2023

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data.

Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Meijin Lin, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu

IEEE Trans. Computational Imaging, 2023

A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction.

Min Xiao, Zi Wang, Jiefeng Guo, Xiaobo Qu

CoRR, 2023

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.

Zi Wang, Xiaotong Yu, Chengyan Wang, Weibo Chen, Jiazheng Wang, Ying-Hua Chu, Hongwei Sun, Rushuai Li, Peiyong Li, Fan Yang, Haiwei Han, Taishan Kang, Jianzhong Lin, Chen Yang, Shufu Chang, Zhang Shi, Sha Hua, Yan Li, Juan Hu, Liuhong Zhu, Jianjun Zhou, Meijing Lin, Jiefeng Guo, Congbo Cai, Zhong Chen, Di Guo, Xiaobo Qu

CoRR, 2023

Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence.

Chen Qian, Zi Wang, Xinlin Zhang, Qingrui Cai, Taishan Kang, Boyu Jiang, Ran Tao, Zhigang Wu, Di Guo, Xiaobo Qu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance.

Qinqin Yang, Zi Wang, Kunyuan Guo, Congbo Cai, Xiaobo Qu

CoRR, 2022

2021

A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy.

Zhangren Tu, Zi Wang, Jiaying Zhan, Yihui Huang, Xiaofeng Du, Min Xiao, Xiaobo Qu, Di Guo

IET Signal Process., 2021

A review on deep learning MRI reconstruction without fully sampled k-space.

Gushan Zeng, Yi Guo, Jiaying Zhan, Zi Wang, Zongying Lai, Xiaofeng Du, Xiaobo Qu, Di Guo

BMC Medical Imaging, 2021

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI.

Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Accelerated image reconstruction with separable Hankel regularization in parallel MRI.

Xinlin Zhang, Zi Wang, Xi Peng, Qin Xu, Di Guo, Xiaobo Qu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning.

Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu

CoRR, 2020

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy.

Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu

CoRR, 2020