Zanting Ye

According to our database, Zanting Ye authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Yolo-HLSAM: Adapting foundation segment anything model for semi-automatic detection and segmentation of breast cancer microcalcification clusters.

Banteng Liu, Hongguang Chen, Tianyi Zhu, Zanting Ye, Haidong Cui, Ke Wang

Biomed. Signal Process. Control., 2026

2025

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising.

Xiaolong Niu, Zanting Ye, Xu Han, Yanchao Huang, Hao Sun, Hubing Wu, Lijun Lu

CoRR, May, 2025

Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation.

Zanting Ye, Xiaolong Niu, Xuanbin Wu, Wenxiang Yi, Yuan Chang, Lijun Lu

CoRR, March, 2025

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning.

Zanting Ye, Xiaolong Niu, Xuanbin Wu, Wantong Lu, Lijun Lu

CoRR, March, 2025

FSDA-DG: Improving cross-domain generalizability of medical image segmentation with few source domain annotations.

Zanting Ye, Ke Wang, Wenbing Lv, Qianjin Feng, Lijun Lu

Medical Image Anal., 2025

2024

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization.

Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen, Banteng Liu

Knowl. Based Syst., January, 2024

2023

SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation.

Zanting Ye

CoRR, 2023

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization.

Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen, Banteng Liu

CoRR, 2023