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

9 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…

cs.CV2021★ 1 cited

Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation

Chaoxing Huang

Event camera is an asynchronous, high frequency vision sensor with low power consumption, which is suitable for human action understanding task. It is vital to encode the spatial-t…

cs.CV2020★ 5 cited

Event-based Action Recognition Using Timestamp Image Encoding Network

Chaoxing Huang

Event camera is an asynchronous, high frequency vision sensor with low power consumption, which is suitable for human action recognition task. It is vital to encode the spatial-tem…

cs.CV2020

A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition

Chaoxing Huang, Xuanying Zhu, Tom Gedeon

People can manipulate emotion expressions when interacting with others. For example, acted anger can be expressed when stimuli is not genuinely angry with an aim to manipulate the…

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

Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation

Event-based Action Recognition Using Timestamp Image Encoding Network

A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition

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