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ORCIDYazhou Zhu 0001
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, Nanjing, China
Other persons with the same name
- Yazhou Zhu — disambiguation page
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2020 – today
- 2026
[j7]Bin Xu
, Yazhou Zhu, Shidong Wang, Yang Long, Haofeng Zhang:
Few-shot Medical Image Segmentation via Boundary-extended Prototypes and Momentum Inference. Comput. Vis. Image Underst. 263: 104571 (2026)- [i5]Yuntian Bo, Yazhou Zhu, Piotr Koniusz, Haofeng Zhang:
Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting. CoRR abs/2603.21287 (2026) - 2025
- [j6]Yazhou Zhu, Minxian Li, Qiaolin Ye, Shidong Wang, Tong Xin, Hao-Feng Zhang:
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation. Artif. Intell. Medicine 167: 103197 (2025) - [j5]Yazhou Zhu, Shidong Wang, Tao Zhou, Zechao Li, Haofeng Zhang, Ling Shao:
Cross-Domain Few-Shot Medical Image Segmentation via Dynamic Semantic Matching. IEEE Trans. Image Process. 34: 6669-6682 (2025) - [c6]Yuntian Bo, Yazhou Zhu, Lunbo Li, Haofeng Zhang:
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation. AAAI 2025: 1889-1897 - [c5]Yazhou Zhu, Haofeng Zhang:
MAUP: Training-Free Multi-center Adaptive Uncertainty-Aware Prompting for Cross-Domain Few-Shot Medical Image Segmentation. MICCAI (7) 2025: 326-336 - [i4]Yazhou Zhu, Haofeng Zhang:
MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation. CoRR abs/2508.03511 (2025) - 2024
- [j4]Yazhou Zhu, Ziming Cheng, Shidong Wang, Haofeng Zhang:
Learning De-biased prototypes for Few-shot Medical Image Segmentation. Pattern Recognit. Lett. 183: 71-77 (2024) - [j3]Yazhou Zhu, Shidong Wang, Tong Xin, Zheng Zhang, Haofeng Zhang:
Partition-A-Medical-Image: Extracting Multiple Representative Subregions for Few-Shot Medical Image Segmentation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [i3]Yuntian Bo, Yazhou Zhu, Lunbo Li, Hao-Feng Zhang:
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation. CoRR abs/2412.09319 (2024) - 2023
- [c4]Yazhou Zhu, Shidong Wang, Tong Xin, Haofeng Zhang:
Few-Shot Medical Image Segmentation via a Region-Enhanced Prototypical Transformer. MICCAI (4) 2023: 271-280 - [i2]Yazhou Zhu, Shidong Wang, Tong Xin, Haofeng Zhang:
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer. CoRR abs/2309.04825 (2023) - [i1]Yazhou Zhu, Shidong Wang, Tong Xin, Zheng Zhang, Haofeng Zhang:
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation. CoRR abs/2309.11172 (2023) - 2022
- [c3]Yang Zhao, Yazhou Zhu, Shengbin Liao, Qiaolin Ye, Haofeng Zhang:
Class Concentration with Twin Variational Autoencoders for Unsupervised Cross-Modal Hashing. ACCV (6) 2022: 235-251 - 2021
- [j2]Tianxu Lv, Xiang Pan, Yazhou Zhu, Lihua Li:
Unsupervised medical images denoising via graph attention dual adversarial network. Appl. Intell. 51(6): 4094-4105 (2021) - [j1]Yazhou Zhu, Xiang Pan, Tianxu Lv, Yuan Liu, Lihua Li:
DESN: An unsupervised MR image denoising network with deep image prior. Theor. Comput. Sci. 880: 97-110 (2021) - 2020
- [c2]Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li:
Multi-scale Strategy Based 3D Dual-Encoder Brain Tumor Segmentation Network with Attention Mechanism. BIBM 2020: 952-957 - [c1]Yazhou Zhu, Xiang Pan, Jing Zhu, Lihua Li, Yuan Liu:
Denoising of Magnetic Resonance Images with Deep Neural Regularizer Driven by Image Prior. DSAA 2020: 255-263
Coauthor Index
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