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> Associate Professor Weitian CHEN
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Professor CHEN Weitian
Personal Information
Position and Department
Associate Professor
,
Department of Imaging and Interventional Radiology
ORCiD
0000-0001-7242-9285
CUHK Research Outputs
1 of 3
Dynamic Glucose-Enhanced Imaging of the Liver Using Breath-Hold Black Blood Quantitative T1ρ MRI at 3.0 T
(
2024
)
Editorial for "Repeatability of Quantitative Knee Cartilage T1, T2, and T1ρ Mapping with 3D-MRI Fingerprinting"
(
2024
)
Quantitative T1rho MRI in the discrimination between multiple sclerosis (MS) white matter lesions and leukoaraiosis
(
2024
)
A Deep Neural Network Framework Of Few-Shot Learning With Domain Adaptation For Automatic Meniscus Segmentation In 3D Fast Spin Echo MRI
(
2023
)
An uncertainty aided framework for learning based liver T1 ρmapping and analysis
(
2023
)
Deep-Learning-Based Knee Articular Cartilage Morphometrics
(
2023
)
Detecting Early-Stage Liver Fibrosis Using Macromolecular Proton Fraction Mapping Based on Spin-Lock MRI: Preliminary Observations
(
2023
)
Dynamic Glucose-Enhanced Imaging Of The Liver Using Breath-Hold Black Blood Quantitative T1rho MRI
(
2023
)
Fast Macromolecular Proton Fraction Imaging Based On Spin-Lock
(
2023
)
Intravoxel Incoherent Motion (IVIM) MRI: Evaluation of the Effect of Intravenous Gadolinium-Based Contrast Media
(
2023
)
Macromolecular Proton Fraction Mapping Based on Spin-Lock (MPF-SL) Imaging of the Normal Appearing White Matter (NAWM) and Normal Appearing Grey Matter (NAGM) in Relapsing-Remitting Multiple Sclerosis
(
2023
)
MixRecon: A Neural Network Mixing CNN And Transformer Utilizes Hybrid Representations Of Image Features For Accelerated MRI Reconstruction
(
2023
)
Principles and clinical applications of macromolecular proton fraction (MPF) magnetic resonance imaging (MRI) in clinical brain imaging
(
2023
)
Quantitative T1rho Magnetic Resonance Imaging (MRI): Applications and Considerations in Neuroradiology
(
2023
)
Repeatability of quantitative T1rho magnetic resonance imaging in normal brain tissues at 3.0T
(
2023
)
Self-Supervised Learning Based Liver Multi-Parametric Mapping In A Single Breath-Hold
(
2023
)
Uncertainty-weighted Multi-tasking for T1ρ and T2 Mapping in the Liver with Self-supervised Learning
(
2023
)
Unsupervised Domain Adaptation For Automated Knee Osteoarthritis Phenotype Classification
(
2023
)
Unsupervised domain adaptation for automated knee osteoarthritis phenotype classification
(
2023
)
A comparison between MRI Osteoarthritis Knee Score (MOAKS) and KL Grading on reflecting severity of clinical symptoms in osteoarthritic patients
(
2022
)
A Systematic Cartilage Surface Segmentation Method for Cartilage Thickness Mapping
(
2022
)
Characterization and correction of the effects of hepatic iron on T 1ρ relaxation in the liver at 3.0 T
(
2022
)
Characterization and correction of the hepatic iron effects on T1rho relaxation in the liver at 3.0 Tesla
(
2022
)
Deep collaborative network with alpha matte for precise knee tissue segmentation from MRI
(
2022
)
Denoising of 3D Fast Spin Echo Magnetic Resonance Images Using Convolutional Neural Networks with Rapid 2-NEX Acquisitions
(
2022
)
Denoising of three-dimensional fast spin echo magnetic resonance images of knee joints using spatial-variant noise-relevant residual learning of convolution neural network
(
2022
)
High test-retest reliability of T1rho in the brain across serial imaging sessions in healthy subjects
(
2022
)
Inhomogeneous liver fibrosis distribution revealed by macromolecular proton fraction quantification based on spin-lock MRI
(
2022
)
Knee Osteoarthritis: Automatic Grading with Deep Learning
(
2022
)
Quantitative T1rho MR imaging detects early changes in advanced-stage nasopharyngeal carcinoma treated with chemotherapy
(
2022
)
Quantitative T1rho MR imaging to stage nasopharyngeal carcinoma
(
2022
)
Self-supervised Liver T1rho Mapping with Physics-constrained Regularization
(
2022
)
Simultaneous macromolecular proton fraction and proton density fat fraction quantification using chemical shift-encoding based spin-lock MRI
(
2022
)
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
(
2022
)
Uncertainty-aware self-supervised neural network for liver T1ρ mapping with relaxation constraint
(
2022
)
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learning
(
2022
)
Unsupervised Domain Adaptation via CycleGAN for knee joint Segmentation in MR Images
(
2022
)
Accelerating the 3D T1ρ mapping of cartilage using a signal-compensated robust tensor principal component analysis model
(
2021
)
Automated Knee Cartilage Thickness Measurement from Magnetic Resonance Images
(
2021
)
Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation
(
2021
)
Glycosaminoglycan detection in OA patients using AC-iTIP at 3.0T: A preliminary study
(
2021
)
Macromolecular proton fraction mapping based on spin-lock for the non-invasive diagnosis of early stage liver fibrosis
(
2021
)
Quantitative Susceptibility Mapping of the Hippocampal Fimbria in Alzheimer's Disease
(
2021
)
Robust Quantitative T1rho imaging
(
2021
)
T1rho mapping of cartilage and menisci in patients with hyperuricaemia at 3 T: a preliminary study
(
2021
)
Test-retest repeatability of T1rho (T1ρ) MR imaging in the head and neck
(
2021
)
A pulse sequence for robust and efficient quantitative R1rho asymmetry imaging to probe chemical exchange effect
(
2020
)
Association of Hippocampus Fimbria Iron level measured by QSM with AD stages, Hippocampus Atrophy and Aging
(
2020
)
A study of sensitivity of quantitative MRI measurements to the presence of iron in the liver
(
2020
)
Bi-exponential T1ρ relaxation calculation of parotid glands in vivo at 3T
(
2020
)
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