research
∙
07/19/2023
Deep unrolling Shrinkage Network for Dynamic MR imaging
Deep unrolling networks that utilize sparsity priors have achieved great...
share
research
∙
01/04/2023
Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation
Causal inference plays an important role in under standing the underlyin...
research
∙
09/14/2022
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator
Recent years have seen growing interest in 3D human faces modelling due ...
research
∙
09/08/2022
T^2LR-Net: An Unrolling Reconstruction Network Learning Transformed Tensor Low-Rank prior for Dynamic MR Imaging
While the methods exploiting the tensor low-rank prior are booming in hi...
research
∙
06/02/2022
Dynamic MRI using Learned Transform-based Deep Tensor Low-Rank Network (DTLR-Net)
While low-rank matrix prior has been exploited in dynamic MR image recon...
research
∙
06/02/2022
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations
Low-rank tensor models have been applied in accelerating dynamic magneti...
research
∙
11/04/2021
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports
Pre-training lays the foundation for recent successes in radiograph anal...
research
∙
09/07/2021
