Yazhou Zhu

Orcid: 0000-0002-7537-5945

Affiliations:
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China


According to our database1, Yazhou Zhu authored at least 15 papers between 2020 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
Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting.
CoRR, March, 2026

Few-shot Medical Image Segmentation via Boundary-extended Prototypes and Momentum Inference.
Comput. Vis. Image Underst., 2026

2025
Cross-Domain Few-Shot Medical Image Segmentation via Dynamic Semantic Matching.
IEEE Trans. Image Process., 2025

RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation.
Artif. Intell. Medicine, 2025

MAUP: Training-Free Multi-center Adaptive Uncertainty-Aware Prompting for Cross-Domain Few-Shot Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Partition-A-Medical-Image: Extracting Multiple Representative Subregions for Few-Shot Medical Image Segmentation.
IEEE Trans. Instrum. Meas., 2024

Learning De-biased prototypes for Few-shot Medical Image Segmentation.
Pattern Recognit. Lett., 2024

2023
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation.
CoRR, 2023

Few-Shot Medical Image Segmentation via a Region-Enhanced Prototypical Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Class Concentration with Twin Variational Autoencoders for Unsupervised Cross-Modal Hashing.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
DESN: An unsupervised MR image denoising network with deep image prior.
Theor. Comput. Sci., 2021

Unsupervised medical images denoising via graph attention dual adversarial network.
Appl. Intell., 2021

2020
Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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