Queenie C. C. Chan

activity

20222025

most citedUncertainty-Aware Self-supervised Neural Network for Liver

T_{1 ρ}

Mapping with Relaxation Constraint

8 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2025★ 2 cited

Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in $T_{1 ρ}$ Quantification of Knee Cartilage Using Learning-Based Methods

Junru Zhong, Chaoxing Huang, Ziqiang Yu +7

Purpose: To propose and evaluate an accelerated $T_{1 ρ}$ quantification method that combines $T_{1 ρ}$ -weighted fast spin echo (FSE) images and proton density (PD)-weighted anatomic…

eess.IV2024

A Systematic Post-Processing Approach for Quantitative $T_{1 ρ}$ Imaging of Knee Articular Cartilage

Junru Zhong, Yongcheng Yao, Fan Xiao +7

Objective: To establish an automated pipeline for post-processing of quantitative spin-lattice relaxation time constant in the rotating frame ( $T_{1 ρ}$ ) imaging of knee articular c…

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…

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…

Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in T1ρ​ Quantification of Knee Cartilage Using Learning-Based Methods

A Systematic Post-Processing Approach for Quantitative T1ρ​ Imaging of Knee Articular Cartilage

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

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

Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in $T_{1 ρ}$ Quantification of Knee Cartilage Using Learning-Based Methods

A Systematic Post-Processing Approach for Quantitative $T_{1 ρ}$ Imaging of Knee Articular Cartilage

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

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