Chaoxing Huang

activity

20202025

most citedUncertainty-Aware Self-supervised Neural Network for Liver

T_{1 ρ}

Mapping with Relaxation Constraint

8 citations · 17 across the 9 of their papers we have counts for

collaborators

Showing physics.med-phShow all

3 papers · 1 filter

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…

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…

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

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

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