Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Qiu, Zhilang"'
Autor:
Cui, Zhuo-Xu, Jia, Sen, Zhu, Qingyong, Liu, Congcong, Qiu, Zhilang, Liu, Yuanyuan, Cheng, Jing, Wang, Haifeng, Zhu, Yanjie, Liang, Dong
Recently, untrained neural networks (UNNs) have shown satisfactory performances for MR image reconstruction on random sampling trajectories without using additional full-sampled training data. However, the existing UNN-based approach does not fully u
Externí odkaz:
http://arxiv.org/abs/2208.05827
Autor:
Hou, Qiandong, Yu, Runrun, Shang, Chunqiong, Deng, Hong, Wen, Zhuang, Qiu, Zhilang, Qiao, Guang
Publikováno v:
In International Journal of Biological Macromolecules April 2024 263 Part 2
Autor:
Peng, Jian, Li, Lu, Wan, Yan, Yang, Yifan, An, Xiaoqin, Yuan, Kexin, Qiu, Zhilang, Jiang, Yinhui, Guo, Guo, Shen, Feng, Liang, Guiyou
Publikováno v:
In Developmental and Comparative Immunology March 2024 152
Autor:
Huang, Wenqi, Ke, Ziwen, Cui, Zhuo-Xu, Cheng, Jing, Qiu, Zhilang, Jia, Sen, Ying, Leslie, Zhu, Yanjie, Liang, Dong
In dynamic magnetic resonance (MR) imaging, low-rank plus sparse (L+S) decomposition, or robust principal component analysis (PCA), has achieved stunning performance. However, the selection of the parameters of L+S is empirical, and the acceleration
Externí odkaz:
http://arxiv.org/abs/2010.13677
Autor:
Wang, Haifeng, Cai, Fang, Shi, Caiyun, Cheng, Jing, Su, Shi, Qiu, Zhilang, Xie, Guoxi, Chen, Hanwei, Liu, Xin, Liang, Dong
The susceptibility-based positive contrast MR technique was applied to estimate arbitrary magnetic susceptibility distributions of the metallic devices using a kernel deconvolution algorithm with a regularized L-1 minimization.Previously, the first-o
Externí odkaz:
http://arxiv.org/abs/2006.09808
Autor:
Cui, Zhuo-Xu, Jia, Sen, Cao, Chentao, Zhu, Qingyong, Liu, Congcong, Qiu, Zhilang, Liu, Yuanyuan, Cheng, Jing, Wang, Haifeng, Zhu, Yanjie, Liang, Dong
Publikováno v:
In Medical Image Analysis August 2023 88
Autor:
Wang, Haifeng, Cheng, Jing, Jia, Sen, Qiu, Zhilang, Shi, Caiyun, Zou, Lixian, Su, Shi, Chang, Yuchou, Zhu, Yanjie, Ying, Leslie, Liang, Dong
Compressed sensing (CS) has been introduced to accelerate data acquisition in MR Imaging. However, CS-MRI methods suffer from detail loss with large acceleration and complicated parameter selection. To address the limitations of existing CS-MRI metho
Externí odkaz:
http://arxiv.org/abs/1905.09525
Wave-CAIPI MR imaging is a 3D imaging technique which can uniformize the g-factor maps and significantly reduce g-factor penalty at high acceleration factors. But it is time-consuming to calculate the average g-factor penalty for optimizing the param
Externí odkaz:
http://arxiv.org/abs/1903.01731
Autor:
Yang, Kun, Jiang, Yuwen, Wang, Jianning, Cai, Xiaowei, Wen, Zhuang, Qiu, Zhilang, Qiao, Guang
Publikováno v:
In Scientia Horticulturae 20 September 2022 303
Autor:
Shi, Caiyun, Qiu, Zhilang, Liu, Congcong, Chen, Hanwei, Ye, Yufeng, Zhu, Yanjie, Liu, Xin, Zheng, Hairong, Liang, Dong, Wang, Haifeng
Publikováno v:
In Journal of Magnetic Resonance July 2022 340