5 citations · 8 across the 5 of their papers we have counts for
5 papers
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
Bing Guan, Cailian Yang, Liu Zhang +5
The radiation dose in computed tomography (CT) examinations is harmful for patients but can be significantly reduced by intuitively decreasing the number of projection views. Reduc…
Virtual Coil Augmentation Technology for MR Coil Extrapolation via Deep Learning
Cailian Yang, Xianghao Liao, Yuhao Wang +2
Magnetic resonance imaging (MRI) is a widely used medical imaging modality. However, due to the limitations in hardware, scan time, and throughput, it is often clinically challengi…
Variable Augmented Network for Invertible Modality Synthesis-Fusion
Yuhao Wang, Ruirui Liu, Zihao Li +2
As an effective way to integrate the information contained in multiple medical images under different modalities, medical image synthesis and fusion have emerged in various clinica…
High-dimensional Assisted Generative Model for Color Image Restoration
Kai Hong, Chunhua Wu, Cailian Yang +4
This work presents an unsupervised deep learning scheme that exploiting high-dimensional assisted score-based generative model for color image restoration tasks. Considering that t…
Joint Intensity-Gradient Guided Generative Modeling for Colorization
Kai Hong, Jin Li, Wanyun Li +4
This paper proposes an iterative generative model for solving the automatic colorization problem. Although previous researches have shown the capability to generate plausible color…