Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. - Dicheng Chen; Zi Wang 005; Di Guo; Vladislav Orekhov; Xiaobo Qu 001 (CoRR, 2020)

Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning. - Zi Wang 005; Di Guo; Yihui Huang; Zhangren Tu; Vladislav Orekhov; Xiaobo Qu 001 (CoRR, 2020)

Accelerated image reconstruction with separable Hankel regularization in parallel MRI. - Xinlin Zhang; Zi Wang 005; Xi Peng 004; Qin Xu; Di Guo; Xiaobo Qu 001 (EMBC, 2021)

XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI. - Yirong Zhou; Chen Qian; Yi Guo; Zi Wang 005; Jian Wang; Biao Qu; Di Guo; Yongfu You; Xiaobo Qu 001 (EMBC, 2021)

A review on deep learning MRI reconstruction without fully sampled k-space. - Gushan Zeng; Yi Guo; Jiaying Zhan; Zi Wang 005; Zongying Lai; Xiaofeng Du; Xiaobo Qu 001; Di Guo (BMC Medical Imaging, 2021)

A partial sum of singular-value-based reconstruction method for non-uniformly sampled NMR spectroscopy. - Zhangren Tu; Zi Wang 005; Jiaying Zhan; Yihui Huang; Xiaofeng Du; Min Xiao; Xiaobo Qu 001; Di Guo (IET Signal Process., 2021)

Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance. - Qinqin Yang; Zi Wang 005; Kunyuan Guo; Congbo Cai; Xiaobo Qu 001 (CoRR, 2022)

Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence. - Chen Qian; Zi Wang 005; Xinlin Zhang; Qingrui Cai; Taishan Kang; Boyu Jiang; Ran Tao; Zhigang Wu; Di Guo; Xiaobo Qu 001 (ISBI, 2023)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (CoRR, 2023)

A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction. - Min Xiao; Zi Wang 005; Jiefeng Guo; Xiaobo Qu 001 (CoRR, 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 005; Meijin Lin; Liangjie Lin; Zhigang Wu; Jiazheng Wang; Hao Chen; et al. (IEEE Trans. Computational 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 005; Tianyu Qiu; Min Xiao; Yinran Chen; Liubin Feng; Yuqing Huang; Donghai Lin; et al. (IEEE Trans. Computational Imaging, 2023)

One-Dimensional Deep Low-Rank and Sparse Network for Accelerated MRI. - Zi Wang 005; Chen Qian; Di Guo; Hongwei Sun; Rushuai Li; Bo Zhao 002; Xiaobo Qu 001 (IEEE Trans. Medical Imaging, 2023)

Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence. - Qinqin Yang; Zi Wang 005; Kunyuan Guo; Congbo Cai; Xiaobo Qu 001 (IEEE Signal Process. Mag., 2023)

Exponential Signal Reconstruction With Deep Hankel Matrix Factorization. - Yihui Huang; Jinkui Zhao; Zi Wang 005; Vladislav Orekhov; Di Guo; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy. - Zi Wang 005; Di Guo; Zhangren Tu; Yihui Huang; Yirong Zhou; Jian Wang; Liubin Feng; Donghai Lin; Yongfu You; Tatiana Agback; Vladislav Orekhov; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging. - Chen Qian; Zi Wang 005; Xinlin Zhang; Boxuan Shi; Boyu Jiang; Ran Tao; Jing Li; Yuwei Ge; Taishan Kang; Jianzhong Lin; Di Guo; Xiaobo Qu 001 (IEEE Trans. Biomed. Eng., 2023)

A 1D Plug-and-Play Synthetic Data Deep Learning For Undersampled Magnetic Resonance Image Reconstruction. - Min Xiao; Zi Wang 005; Jiefeng Guo; Di Guo; Xiaobo Qu 001 (ICIP, 2024)

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI. - Zi Wang 005; Min Xiao; Yirong Zhou; Chengyan Wang; Naiming Wu; Yi Li; Yiwen Gong; Shufu Chang; Yinyin Chen; Liuhong Zhu; Jianjun Zhou; Congbo Cai; et al. (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 005; Dan Ruan; Rui Guo; Peijun Zhao; Jianhua Wang; Naiming Wu; Jianzhong Lin; Yinyin Chen; et al. (CoRR, 2024)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 2024)

CloudBrain-ReconAI: A Cloud Computing Platform for MRI Reconstruction and Radiologists' Image Quality Evaluation. - Yirong Zhou; Chen Qian; Jiayu Li; Zi Wang 005; Yu Hu; Biao Qu; Liuhong Zhu; Jianjun Zhou; Taishan Kang; Jianzhong Lin; Qing Hong; Jiyang Dong; et al. (IEEE Trans. Cloud Comput., 2024)

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging. - Zi Wang 005; Haoming Fang; Chen Qian; Boxuan Shi; Lijun Bao; Liuhong Zhu; Jianjun Zhou; Wenping Wei; Jianzhong Lin; Di Guo; Xiaobo Qu 001 (IEEE J. Biomed. Health Informatics, 2024)

MRI reconstruction with enhanced self-similarity using graph convolutional network. - Qiaoyu Ma; Zongying Lai; Zi Wang 005; Yiran Qiu; Haotian Zhang; Xiaobo Qu 001 (BMC Medical Imaging, 2024)

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 2025)

One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (Medical Image Anal., 2025)

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction. - Zhenxuan Zhang; Lipei Zhang; Yanqi Cheng; Zi Wang 005; Fanwen Wang; Haosen Zhang; Yue Yang; Yinzhe Wu 001; Jiahao Huang; Angelica I. Avilés-Rivero; Zhifan Gao; Guang Yang 006; et al. (CoRR, 2025)

DRIMV_TSK: An Interpretable Surgical Evaluation Model for Incomplete Multi-View Rectal Cancer Data. - Wei Zhang 221; Zi Wang 005; Hanwen Zhou; Zhaohong Deng; Weiping Ding 001; Yuxi Ge; Te Zhang; Yuanpeng Zhang; Kup-Sze Choi; Shitong Wang 001; Shudong Hu (CoRR, 2025)

Diffusion-prior based implicit neural representation for arbitrary-scale cardiac cine MRI super-resolution. - Jun Lyu; Guangming Wang; Zi Wang 005; Shunjie Dong; Weiping Ding 001; Chengyan Wang (Inf. Fusion, 2026)