2 citations · 4 across the 3 of their papers we have counts for
3 papers
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction
Xiongchao Chen, Zhigang Peng, Gerardo Hermosillo Valadez
Magnetic resonance imaging (MRI) is widely employed for diagnostic tests in neurology. However, the utility of MRI is largely limited by its long acquisition time. Acquiring fewer…
Dual-Domain Cross-Iteration Squeeze-Excitation Network for Sparse Reconstruction of Brain MRI
Xiongchao Chen, Yoshihisa Shinagawa, Zhigang Peng +1
Magnetic resonance imaging (MRI) is one of the most commonly applied tests in neurology and neurosurgery. However, the utility of MRI is largely limited by its long acquisition tim…
ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation
Orhan Akal, Zhigang Peng, Gerardo Hermosillo Valadez
3D segmentation with deep learning if trained with full resolution is the ideal way of achieving the best accuracy. Unlike in 2D, 3D segmentation generally does not have sparse out…