Bin Huang

Orcid: 0000-0001-7937-8476

Affiliations:
  • Nanchang University, Nanchang, China


According to our database1, Bin Huang authored at least 15 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction.
CoRR, February, 2026

2025
ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain.
CoRR, September, 2025

PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space Learning.
CoRR, June, 2025

PRO: Projection Domain Synthesis for CT Imaging.
CoRR, June, 2025

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction.
CoRR, May, 2025

Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework.
CoRR, March, 2025

2024
Stage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction.
IEEE Trans. Medical Imaging, October, 2024

Low-Rank Angular Prior Guided Multi-Diffusion Model for Few-Shot Low-Dose CT Reconstruction.
IEEE Trans. Computational Imaging, 2024

Invertible and Variable Augmented Network for Pretreatment Patient-Specific Quality Assurance Dose Prediction.
J. Imaging Inform. Medicine, 2024

RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction.
CoRR, 2024

Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction.
CoRR, 2024

Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction.
CoRR, 2024

MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction.
CoRR, 2024

2022
One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging.
CoRR, 2022

2021
Wind Power Forecasting Using Attention-Based Recurrent Neural Networks: A Comparative Study.
IEEE Access, 2021


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