Shuo Han

Orcid: 0000-0002-6187-1307

Affiliations:
  • University of Massachusetts Lowell, Lowell, MA, USA


According to our database1, Shuo Han authored at least 13 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Co-Retention feature pyramid network for low-dose CT denoising via spatial and frequency domain learning.
Biomed. Signal Process. Control., 2026

CBCT-Pose: Few-Shot Viewpoint-Conditioned Diffusion for Sparse-View CBCT Reconstruction.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction.
CoRR, November, 2025

Physics-Informed Score-Based Diffusion Model for Limited-Angle Reconstruction of Cardiac Computed Tomography.
IEEE Trans. Medical Imaging, September, 2025

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT.
CoRR, September, 2025

Clinical Metadata Guided Limited-Angle CT Image Reconstruction.
CoRR, September, 2025

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction.
CoRR, June, 2025

Photon-Counting CT Reconstruction Using Separable Attention-Based Tensor Neural Network Prior.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
LoMAE: Simple Streamlined Low-Level Masked Autoencoders for Robust, Generalized, and Interpretable Low-Dose CT Denoising.
IEEE J. Biomed. Health Informatics, November, 2024

ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction.
CoRR, 2024

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising.
CoRR, 2023

Masked Autoencoders for Low-dose CT Denoising.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023


  Loading...