2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.IV2020★ 1 cited
Exploring the parameter reusability of CNN
Wei Wang, Lin Cheng, Yanjie Zhu +1
In recent times, using small data to train networks has become a hot topic in the field of deep learning. Reusing pre-trained parameters is one of the most important strategies to…
cs.LG2019★ 2 cited
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
Yiling Liu, Qiegen Liu, Minghui Zhang +3
To improve the compressive sensing MRI (CS-MRI) approaches in terms of fine structure loss under high acceleration factors, we have proposed an iterative feature refinement model (…
physics.med-ph2019
Fast Calculation Method of Average g-Factor for Wave-CAIPI Imaging
Haifeng Wang, Zhilang Qiu, Shi Su +2
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-consum…