Liuhong Zhu

Orcid: 0000-0003-1251-6744

According to our database1, Liuhong Zhu authored at least 17 papers between 2011 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Spatially decoupled reliable mutual learning for semi-supervised medical image segmentation.
BMC Medical Imaging, December, 2026

Instantaneous T<sub>2</sub> Mapping via Reduced Field of View Multiple Overlapping-Echo Detachment Imaging: Application in Free-Breathing Abdominal and Myocardial Imaging.
IEEE Trans. Biomed. Eng., March, 2026

Rapid multi-parametric quantitative MRI via deep learning-based synthetic-to-real reconstruction and 3D SSFP-MOLED imaging.
NeuroImage, 2026

2025
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI.
IEEE Trans. Biomed. Eng., December, 2025

Comparison of radial versus cartesian k-space sampling in T1-weighted MRI: image quality assessment for contrast-enhanced thoracic spine transverse imaging.
BMC Medical Imaging, December, 2025

Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning.
CoRR, October, 2025

One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction.
Medical Image Anal., 2025

Paired phase and magnitude reconstruction neural network for multi-shot diffusion magnetic resonance imaging.
Medical Image Anal., 2025

2024
Liver fat volume fraction measurements based on multi-material decomposition algorithm in patients with nonalcoholic fatty liver disease: the influences of blood vessel, location, and iodine contrast.
BMC Medical Imaging, December, 2024

A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging.
IEEE J. Biomed. Health Informatics, April, 2024

CloudBrain-ReconAI: A Cloud Computing Platform for MRI Reconstruction and Radiologists' Image Quality Evaluation.
IEEE Trans. Cloud Comput., 2024

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI.
CoRR, 2024

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI.
CoRR, 2024

2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.
CoRR, 2023

Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T.
BMC Medical Imaging, 2023

2012
The characteristics of signal contrast for the focal hepatic masses with multi-b DWI.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011
Study and preliminary application of an improved fiber tracking algorithm in central nervous system.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011


  Loading...