Taishan Kang

According to our database, Taishan Kang authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Ultrafast Simultaneous T₁, T₂, T₂^*, PD, ΔB₀, and B₁ Mapping via Longitudinal Magnetization Controlled MOLED Acquisition.

Weikun Chen, Taishan Kang, Qing Lin, Xinyu Guo, Jian Wu, Simin Li, Yuchen Zheng, Jianzhong Lin, Liangjie Lin, Jiazheng Wang, Xiaobo Qu, Zhong Chen, Shuhui Cai, Congbo Cai

IEEE Trans. Biomed. Eng., February, 2026

JSDU-Net: Joint sensitivity-learning driven deep unfolding network for accelerated radial MRI reconstruction.

Biao Qu, Huajun She, Qingxia Wu, Pingping Jie, Qi Yao, Liulu Zhang, Yuting Fu, Yamei Luo, Taishan Kang, Gaofeng Zheng

Expert Syst. Appl., 2026

Robust radial MRI reconstruction under multi-scenario mismatch via deep prior guided weighted sparsity.

Biao Qu, Taishan Kang, Zhipeng Feng, Shaomao Lü, Cina Zheng, Huajun She, Chenchen Dai, Yamei Luo, Jia Wu, Jianjun Zhou

Expert Syst. Appl., 2026

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, Ran Tao, Chunmiao Chen, Shufang Chen, Dongyun Liang, Qiu Guo, Jianzhong Lin, Taishan Kang, Mengtian Lu, Liyuan Fu, Ruibin Huang, Huijuan Wan, Xu Huang, Jianhua Wang, Di Guo, Hai Zhong, Jianjun Zhou, Xiaobo Qu

CoRR, October, 2025

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 Anal., 2025

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, Di Guo, Xiaobo Qu

IEEE Trans. Biomed. Eng., June, 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, January, 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, Ze Fang, Haolin Zhan, Taishan Kang, Yuqing Huang, Yu Yang, Zhong Chen

IEEE Trans. Instrum. Meas., 2024

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 Trans. Cloud Comput., 2024

2023

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 Trans. Biomed. Eng., December, 2023

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, Xiaobo Qu

CoRR, 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, Di Guo, Xiaobo Qu

CoRR, 2023

Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence.

Chen Qian, Zi Wang, Xinlin Zhang, Qingrui Cai, Taishan Kang, Boyu Jiang, Ran Tao, Zhigang Wu, Di Guo, Xiaobo Qu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023