Publications

For a full list of our publications, please refer to my Google Scholar profile.

Selected Publications (#: Co-first authorship)

Towards universal learning-based model for cardiac image reconstruction: Summary of the CMRxRecon2024 challenge
Fanwen Wang#, Zi Wang#, Yan Li#, Jun Lyu#, Chen Qin#, …, Claudia Prieto, Michael Markl, Alistair Young, Hao Li, Xihong Hu, Lianmin Wu, Xiaobo Qu, Guang Yang, Chengyan Wang
arXiv: 2503.03971, 2025. [paper][code]

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, Guang Yang, Xiaobo Qu
Medical Image Analysis, 2025. [paper][code]

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, Xianwang Jiang, Di Guo, Guang Yang, Xiaobo Qu
IEEE Transactions on Biomedical Engineering, 2025. [paper]

CMRxRecon2024: A multimodality, multiview k-space dataset boosting universal machine learning for accelerated cardiac MRI
Zi Wang#, Fanwen Wang#, Chen Qin, Shuo Wang, Jun Lyu, Yan Li, Cheng Ouyang, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Longyu Sun, Mengting Sun, Qing Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair Young, Michael Markl, He Wang, Lian-Ming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang
Radiology: Artificial Intelligence, 2025. [paper][code]

Fast and ultra-high shot diffusion MRI image reconstruction with self-adaptive Hankel subspace
Chen Qian, Mingyang Han, Liuhong Zhu, Zi Wang, Feiqiang Guan, Yucheng Guo, Dan Ruan, Yi Guo, Taishan Kang, Jianzhong Lin, Chengyan Wang, Merry Mani, Mathews Jacob, Meijin Lin, Di Guo, Xiaobo Qu, Jianjun Zhou
Medical Image Analysis, 2025. [paper][code]

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023
Jun Lyu, Chen Qin, Shuo Wang, Fanwen Wang, Yan Li, Zi Wang, Kunyuan Guo, Cheng Ouyang, Michael Tänzer, Meng Liu, Longyu Sun, Mengting Sun, Qing Li, Zhang Shi, Sha Hua, Hao Li, Zhensen Chen, Zhenlin Zhang, Bingyu Xin, Dimitris N. Metaxas, George Yiasemis, Jonas Teuwen, Liping Zhang, Weitian Chen, Yidong Zhao, Qian Tao, Yanwei Pang, Xiaohan Liu, Artem Razumov, Dmitry V. Dylov, Quan Dou, Kang Yan, Yuyang Xue, Yuning Du, Julia Dietlmeier, Carles Garcia-Cabrera, Ziad Al-Haj Hemidi, Nora Vogt, Ziqiang Xu, Yajing Zhang, Ying-Hua Chu, Weibo Chen, Wenjia Bai, Xiahai Zhuang, Jing Qin, Lianming Wu, Guang Yang, Xiaobo Qu, He Wang, Chengyan Wang
Medical Image Analysis, 2025. [paper][code]

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 Journal of Biomedical and Health Informatics, 2024. [paper]

CloudBrain-ReconAI: A cloud computing platform for MRI reconstruction and radiologists’ image quality evaluation
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
IEEE Transactions on Cloud Computing, 2024. [paper][platform]

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 Transactions on Medical Imaging, 2023. [paper]

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 Transactions on Neural Networks and Learning Systems, 2023. [paper][code][platform]

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 Processing Magazine, 2023. [paper][platform]

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 Transactions on Biomedical Engineering, 2023. [paper]

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 Transactions on Computational Imaging, 2023. [paper]

A review on deep learning MRI reconstruction without fully sampled k-space
Gushan Zeng, Yi Guo, Jiaying Zhan, Zi Wang, Xiaobo Qu, Di Guo
BMC Medical Imaging, 2021. [paper]

Review and prospect: Deep learning in nuclear magnetic resonance spectroscopy
Dicheng Chen#, Zi Wang#, Di Guo, Vladislav Orekhov, Xiaobo Qu
Chemistry -A European Journal, 2020. [paper]