… , facilitating the use of regularization in the reconstruction … SAPPHIRE sequence at a high
spatial resolution of 1.1 × 1.1 … success of deep learning in image processing applications …

… The explicit use of this transform relationship in deep reconstruction is useful since it
facilitates/… Deep learning recovers spatial resolution and structural details in an ill-posed optical …

… Furthermore, SPIRiT has facilitated the connection … kspace parallel imaging reconstruction
without additional calibration data acquisition. Low-rank matrix modeling of local k-space …

… deep neural network for natural image … image reconstruction, since hyperspectral image
lies in high dimension, thereby spectral prior should be exploited to facilitate the reconstruction…

… Furthermore, SPIRiT has facilitated the connection between … learning of variational models,
medical image reconstruction, … on machine learning for accelerated MR image reconstruction. …

… is to facilitate the advancement of state-of-the-art CMR image … Typical scan parameters were:
spatial resolution of 1.5 × 1.5 … k-space data for undersampling image reconstruction tasks, …

… reconstruction in fast MRI are discussed, which may facilitate further development of the …
Her research interests include compressed sensing, image reconstruction, and machine learning…

… resolution auxiliary image to improve the spatial resolution of … performance in the field of
image restoration, we specifically … In this paper, a novel deep neural network is introduced to …

… and the synthetic roots promotes the reduction in the noise floor in the images and takes …
Roots datasets acquired with a higher spatial resolution of 0.83 mm were also reconstructed …

… temporal or spatial resolution in such undersampled settings. … where PΩ(·) denotes the
projection on the measured kspace … This new trend of open publication facilitates the significant …