3 papers
cs.CV2026
Towards Personalized Multi-Modal MRI Synthesis across Heterogeneous Datasets
Yue Zhang, Zhizheng Zhuo, Siyao Xu +6
Synthesizing missing modalities in multi-modal magnetic resonance imaging (MRI) is vital for ensuring diagnostic completeness, particularly when full acquisitions are infeasible du…
eess.IV2025
Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images
Yue Zhang, Jiahua Dong, Chengtao Peng +3
Accurate segmentation of breast tumors in magnetic resonance images (MRI) is essential for breast cancer diagnosis, yet existing methods face challenges in capturing irregular tumo…
cs.CV2024
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels
Jiahua Dong, Yue Zhang, Qiuli Wang +7
Medical image segmentation is crucial in the field of medical imaging, aiding in disease diagnosis and surgical planning. Most established segmentation methods rely on supervised d…