Na Zhang

Orcid: 0000-0001-9510-4520

Affiliations:
  • Chinese Academy of Sciences, Key Laboratory of Health Informatics, Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Shenzhen, China
  • United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China


According to our database1, Na Zhang authored at least 16 papers between 2013 and 2024.

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Bibliography

2024
OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.
IEEE Trans. Medical Imaging, April, 2024

Quantitative pharmacokinetic parameter K<sup>trans</sup> map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).
Biomed. Signal Process. Control., January, 2024

2023
Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC).
Biomed. Signal Process. Control., September, 2023

MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks.
Artif. Intell. Medicine, September, 2023

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.
IEEE J. Biomed. Health Informatics, June, 2023

Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation.
Signal Process., 2023

2022
High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction.
IEEE Trans. Biomed. Eng., 2022

ISA-Net: Improved spatial attention network for PET-CT tumor segmentation.
Comput. Methods Programs Biomed., 2022

Segmentation-guided Denoising Network for Low-dose CT Imaging.
Comput. Methods Programs Biomed., 2022

Improved GAN: Using a transformer module generator approach for material decomposition.
Comput. Biol. Medicine, 2022

2021
Dynamic PET Imaging Using Dual Texture Features.
Frontiers Comput. Neurosci., 2021

2020
PET Image Reconstruction Using a Cascading Back-Projection Neural Network.
IEEE J. Sel. Top. Signal Process., 2020

Correlation Between Pharmacokinetic Analysis of DCE-MRI and Breast Image Reporting and Data System (BIRADS) Classification.
Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020

2015
Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging.
J. Electronic Imaging, 2015

2013
Under-sampling trajectory design for compressed sensing based DCE-MRI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Noise behavior of MR brain reconstructions using compressed sensing.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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