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Taishan Kang
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2020 – today
- 2024
- [j4]Biao Qu, Jialue Zhang, Taishan Kang, Jianzhong Lin, Meijin Lin, Huajun She, Qingxia Wu, Meiyun Wang, Gaofeng Zheng:
Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network. Comput. Biol. Medicine 168: 107707 (2024) - [j3]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:
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal. IEEE Trans. Biomed. Eng. 71(6): 1841-1852 (2024) - [j2]Enping Lin, Liubin Wu, Yida Chen, Bo Chen, Jian Wu, Ze Fang, Haolin Zhan, Taishan Kang, Yuqing Huang, Yu Yang, Zhong Chen:
Cluster-Based Analytical Methods for Diffusion-Ordered NMR Spectroscopy and Apparent Diffusion Coefficient Mapping in MRI. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - 2023
- [j1]Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu:
A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging. IEEE Trans. Biomed. Eng. 70(12): 3425-3435 (2023) - [c1]Chen Qian, Zi Wang, Xinlin Zhang, Qingrui Cai, Taishan Kang, Boyu Jiang, Ran Tao, Zhigang Wu, Di Guo, Xiaobo Qu:
Physics-informed Deep Diffusion MRI Reconstruction: Break the Bottleneck of Training Data in Artificial Intelligence. ISBI 2023: 1-5 - [i3]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:
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal. CoRR abs/2306.09681 (2023) - [i2]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:
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction. CoRR abs/2307.13220 (2023) - 2022
- [i1]Chen Qian, Zi Wang, Xinlin Zhang, Qingrui Cai, Taishan Kang, Boyu Jiang, Ran Tao, Zhigang Wu, Di Guo, Xiaobo Qu:
Physics-informed deep diffusion MRI reconstruction: break the bottleneck of training data in artificial intelligence. CoRR abs/2210.11388 (2022)
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