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)

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 004; 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)

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 004; 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 004; Wenping Wei; Jianzhong Lin; Di Guo 003; Xiaobo Qu 001 (IEEE J. Biomed. Health Informatics, 2024)

Paired phase and magnitude reconstruction neural network for multi-shot diffusion magnetic resonance imaging. - Qiaoling Lin; Xuanchu Chen; Boxuan Shi; Chen Qian; Mingyang Han; Liuhong Zhu; Dafa Shi; Xiaoyong Shen; Wanjun Hu; Dan Ruan; Yi Guo; Jianjun Zhou 004; 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)

Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning. - Chen Qian; Haoyu Zhang; Junnan Ma; Liuhong Zhu; Qingrui Cai; Yu Wang; Ruibo Song; Lv Li; Lin Mei; Xianwang Jiang; Qin Xu; Boyu Jiang; et al. (CoRR, 2025)

Comparison of radial versus cartesian k-space sampling in T1-weighted MRI: image quality assessment for contrast-enhanced thoracic spine transverse imaging. - Liuhong Zhu; Yanwei Wang; Weigen Yao; Funan Wang; Hao Liu; Xiaobo Qu 001; Jianjun Zhou 004 (BMC Medical Imaging, 2025)

Error Bound Analysis of Physics-Informed Neural Networks-Driven T2 Quantification in Cardiac Magnetic Resonance Imaging. - Mengxue Zhang; Qingrui Cai; Yinyin Chen; Hang Jin; Jianjun Zhou 004; Qiu Guo; Peijun Zhao; Zhiping Mao; Xingxing Zhang; Yuyu Xia; Xianwang Jiang; Qin Xu; et al. (CoRR, 2025)

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 004; Congbo Cai; et al. (IEEE Trans. Biomed. Eng., 2025)

Rapid multi-parametric quantitative MRI via deep learning-based synthetic-to-real reconstruction and 3D SSFP-MOLED imaging. - Jingying Yang; Liuhong Zhu; Kai Xiong; Jianfeng Bao; Qinqin Yang; Weikun Chen; Taishan Kang; Jianjun Zhou 004; Jianzhong Lin; Liangjie Lin; Zhong Chen 005; Shuhui Cai; et al. (NeuroImage, 2026)

Instantaneous T2 Mapping via Reduced Field of View Multiple Overlapping-Echo Detachment Imaging: Application in Free-Breathing Abdominal and Myocardial Imaging. - Chenyang Dai; Congbo Cai; Jian Wu 005; Liuhong Zhu; Xiaobo Qu 001; Qinqin Yang; Jianjun Zhou 004; Shuhui Cai (IEEE Trans. Biomed. Eng., 2026)