V. Wong

activity

20222024

most citedUncertainty-Aware Self-supervised Neural Network for Liver

T_{1 ρ}

Mapping with Relaxation Constraint

8 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2024

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior

Chaoxing Huang, Ziqiang Yu, Zijian Gao +5

Fatty acid can potentially serve as biomarker for evaluating metabolic disorder and inflammation condition, and quantifying the double bonds is the key for revealing fatty acid inf…

physics.med-ph2023★ 1 cited

An Uncertainty Aided Framework for Learning based Liver $T_{1} ρ$ Mapping and Analysis

Chaoxing Huang, Vincent Wai Sun Wong, Queenie Chan +2

Objective: Quantitative $T_{1} ρ$ imaging has potential for assessment of biochemical alterations of liver pathologies. Deep learning methods have been employed to accelerate quantita…

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…

Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior

An Uncertainty Aided Framework for Learning based Liver T1​ρ Mapping and Analysis

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

An Uncertainty Aided Framework for Learning based Liver $T_{1} ρ$ Mapping and Analysis

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