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)

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal. - Dicheng Chen; Meijin Lin; Huiting Liu; Jiayu Li; Yirong Zhou; Taishan Kang; Liangjie Lin; Zhigang Wu; Jiazheng Wang; Jing Li; Jianzhong Lin; Xi Chen; et al. (CoRR, 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 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)

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)

Cluster-Based Analytical Methods for Diffusion-Ordered NMR Spectroscopy and Apparent Diffusion Coefficient Mapping in MRI. - Enping Lin; Liubin Wu; Yida Chen; Bo Chen; Jian Wu 005; Ze Fang; Haolin Zhan; Taishan Kang; Yuqing Huang; Yu Yang 002; Zhong Chen 005 (IEEE Trans. Instrum. Meas., 2024)

Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network. - Biao Qu; Jialue Zhang; Taishan Kang; Jianzhong Lin; Meijin Lin; Huajun She; Qingxia Wu; Meiyun Wang; Gaofeng Zheng (Comput. Biol. Medicine, 2024)

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal. - Dicheng Chen; Meijin Lin; Huiting Liu; Jiayu Li; Yirong Zhou; Taishan Kang; Liangjie Lin; Zhigang Wu; Jiazheng Wang; Jing Li; Jianzhong Lin; Xi Chen; et al. (IEEE Trans. Biomed. Eng., 2024)

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)