Yurui Qian

activity

20222024

most citedUncertainty-Aware Self-supervised Neural Network for Liver

T_{1 ρ}

Mapping with Relaxation Constraint

8 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Boosting Diffusion Models with Moving Average Sampling in Frequency Domain

Yurui Qian, Qi Cai, Yingwei Pan +4

Diffusion models have recently brought a powerful revolution in image generation. Despite showing impressive generative capabilities, most of these models rely on the current sampl…

physics.med-ph2023

Uncertainty-weighted Multi-tasking for $T_{1 ρ}$ and T $_{2}$ Mapping in the Liver with Self-supervised Learning

Chaoxing Huang, Yurui Qian, Jian Hou +5

Multi-parametric mapping of MRI relaxations in liver has the potential of revealing pathological information of the liver. A self-supervised learning based multi-parametric mapping…

q-bio.TO2022★ 8 cited

Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1 ρ}$ Mapping with Relaxation Constraint

Chaoxing Huang, Yurui Qian, Simon Chun Ho Yu +6

$T_{1 ρ}$ mapping is a promising quantitative MRI technique for the non-invasive assessment of tissue properties. Learning-based approaches can map $T_{1 ρ}$ from a reduced number of…

Boosting Diffusion Models with Moving Average Sampling in Frequency Domain

Uncertainty-weighted Multi-tasking for T1ρ​ and T2​ Mapping in the Liver with Self-supervised Learning

Uncertainty-Aware Self-supervised Neural Network for Liver T1ρ​ Mapping with Relaxation Constraint

Uncertainty-weighted Multi-tasking for $T_{1 ρ}$ and T $_{2}$ Mapping in the Liver with Self-supervised Learning

Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1 ρ}$ Mapping with Relaxation Constraint