Jianjun Zhou

Orcid: 0000-0003-4175-0513

Affiliations:
  • Zhongshan Hospital, Shanghai, China


According to our database1, Jianjun Zhou authored at least 13 papers between 2023 and 2026.

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Bibliography

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

Error Bound Analysis of Physics-Informed Neural Networks-Driven T2 Quantification in Cardiac Magnetic Resonance Imaging.
CoRR, 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
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


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