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Zi Wang 0005
Person information
- affiliation: Xiamen University, National Institute for Data Science in Health and Medicine, Department of Electronic Science, China
Other persons with the same name
- Zi Wang — disambiguation page
- Zi Wang 0001 — Beijing University of Posts and Telecommunications, MoE Key Laboratory of Universal Wireless Communications, China
- Zi Wang 0002 — University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA (and 1 more)
- Zi Wang 0003 — Augusta University, School of Computer and Cyber Sciences, GA, USA (and 1 more)
- Zi Wang 0004 — Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- Zi Wang 0006 — University of Texas at Dallas, Department of Electrical and Computer Engineering, TX, USA
- Zi Wang 0007 — Pennsylvania State University, Industrial and Manufacturing Engineering Department, University Park, PA, USA
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Journal Articles
- 2024
- [j12]Qiaoyu Ma, Zongying Lai, Zi Wang, Yiran Qiu, Haotian Zhang, Xiaobo Qu:
MRI reconstruction with enhanced self-similarity using graph convolutional network. BMC Medical Imaging 24(1): 113 (2024) - [j11]Yirong Zhou, Chen Qian, Jiayu Li, Zi Wang, Yu Hu, Biao Qu, Liuhong Zhu, Jianjun Zhou, Taishan Kang, Jianzhong Lin, Qing Hong, Jiyang Dong, Di Guo, Xiaobo Qu:
CloudBrain-ReconAI: A Cloud Computing Platform for MRI Reconstruction and Radiologists' Image Quality Evaluation. IEEE Trans. Cloud Comput. 12(4): 1359-1371 (2024) - [j10]Zi Wang, Haoming Fang, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu:
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging. IEEE J. Biomed. Health Informatics 28(4): 2126-2137 (2024) - 2023
- [j9]Qinqin Yang, Zi Wang, Kunyuan Guo, Congbo Cai, Xiaobo Qu:
Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence. IEEE Signal Process. Mag. 40(2): 129-140 (2023) - [j8]Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu:
A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging. IEEE Trans. Biomed. Eng. 70(12): 3425-3435 (2023) - [j7]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:
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data. IEEE Trans. Computational Imaging 9: 448-458 (2023) - [j6]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:
XCloud-VIP: Virtual Peak Enables Highly Accelerated NMR Spectroscopy and Faithful Quantitative Measures. IEEE Trans. Computational Imaging 9: 1043-1057 (2023) - [j5]Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu:
One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI. IEEE Trans. Medical Imaging 42(1): 79-90 (2023) - [j4]Yihui Huang, Jinkui Zhao, Zi Wang, Vladislav Orekhov, Di Guo, Xiaobo Qu:
Exponential Signal Reconstruction With Deep Hankel Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6214-6226 (2023) - [j3]Zi Wang, Di Guo, Zhangren Tu, Yihui Huang, Yirong Zhou, Jian Wang, Liubin Feng, Donghai Lin, Yongfu You, Tatiana Agback, Vladislav Orekhov, Xiaobo Qu:
A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7578-7592 (2023) - 2021
- [j2]Gushan Zeng, Yi Guo, Jiaying Zhan, Zi Wang, Zongying Lai, Xiaofeng Du, Xiaobo Qu, Di Guo:
A review on deep learning MRI reconstruction without fully sampled k-space. BMC Medical Imaging 21(1): 195 (2021) - [j1]Zhangren Tu, Zi Wang, Jiaying Zhan, Yihui Huang, Xiaofeng Du, Min Xiao, Xiaobo Qu, Di Guo:
A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy. IET Signal Process. 15(1): 14-27 (2021)
Conference and Workshop Papers
- 2023
- [c3]Chen Qian, Zi Wang, Xinlin Zhang, Qingrui Cai, Taishan Kang, Boyu Jiang, Ran Tao, Zhigang Wu, Di Guo, Xiaobo Qu:
Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence. ISBI 2023: 1-5 - 2021
- [c2]Yirong Zhou, Chen Qian, Yi Guo, Zi Wang, Jian Wang, Biao Qu, Di Guo, Yongfu You, Xiaobo Qu:
XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI. EMBC 2021: 3289-3292 - [c1]Xinlin Zhang, Zi Wang, Xi Peng, Qin Xu, Di Guo, Xiaobo Qu:
Accelerated image reconstruction with separable Hankel regularization in parallel MRI. EMBC 2021: 3403-3406
Informal and Other Publications
- 2024
- [i11]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:
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI. CoRR abs/2402.15939 (2024) - [i10]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:
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI. CoRR abs/2405.10570 (2024) - [i9]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:
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR abs/2406.19043 (2024) - 2023
- [i8]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:
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction. CoRR abs/2307.13220 (2023) - [i7]Min Xiao, Zi Wang, Jiefeng Guo, Xiaobo Qu:
A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction. CoRR abs/2309.06681 (2023) - 2022
- [i6]Qinqin Yang, Zi Wang, Kunyuan Guo, Congbo Cai, Xiaobo Qu:
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance. CoRR abs/2203.11178 (2022) - [i5]Chen Qian, Zi Wang, Xinlin Zhang, Qingrui Cai, Taishan Kang, Boyu Jiang, Ran Tao, Zhigang Wu, Di Guo, Xiaobo Qu:
Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence. CoRR abs/2210.11388 (2022) - [i4]Zi Wang, Haoming Fang, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu:
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging. CoRR abs/2210.12723 (2022) - 2021
- [i3]Zi Wang, Chen Qian, Di Guo, Hongwei Sun, Rushuai Li, Bo Zhao, Xiaobo Qu:
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI. CoRR abs/2112.04721 (2021) - 2020
- [i2]Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu:
Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. CoRR abs/2001.04813 (2020) - [i1]Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu:
Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning. CoRR abs/2012.14830 (2020)
Coauthor Index
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