Zeyu Liu

Orcid: 0000-0002-9342-1247

Affiliations:
  • Beihang University, School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China


According to our database1, Zeyu Liu authored at least 12 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
StainExpert: A Unified Multi-Expert Diffusion Framework for Multi-Target Pathological Stain Translation.
IEEE Trans. Medical Imaging, May, 2026

SV-FMT-DualDiff: Dual-Path Conditional Diffusion for Single-View Tomography.
IEEE Trans. Computational Imaging, 2026

Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories.
Medical Image Anal., 2026

2025
Mutual transfer learning for cuff-less blood pressure estimation using photoplethysmography-based visibility graphs.
Eng. Appl. Artif. Intell., 2025

CPIA dataset: a large-scale comprehensive pathological image analysis dataset for self-supervised learning pre-training.
Biomed. Signal Process. Control., 2025

OptiPathD: A Capacity-Optimized Diffusion Foundation Model for Pathology Image Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
PST-Diff: Achieving High-Consistency Stain Transfer by Diffusion Models With Pathological and Structural Constraints.
IEEE Trans. Medical Imaging, October, 2024

UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation.
IEEE Trans. Artif. Intell., September, 2024

STP: Self-supervised transfer learning based on transformer for noninvasive blood pressure estimation using photoplethysmography.
Expert Syst. Appl., 2024

Generating Progressive Images from Pathological Transitions Via Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
SVRNet: First Investigation of Single-View Reconstruction Network for Fluorescence Molecular Tomography.
IEEE Trans. Computational Imaging, 2023

Overcoming Pathology Image Data Deficiency: Generating Images from Pathological Transformation Process.
CoRR, 2023


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