Publications

Z. Song, Z. Qi, X. Wang, X. Zhao, Z. Shen, S. Wang, M. Fei, Z. Wang, D. Zang, D. Chen, L. Yao, Q. Wang, X. Wu, L. Zhang, “Uni-COAL: A Unified Framework for Cross-modality Synthesis and Super-resolution of MR Images,” Expert Systems with Applications, 2025, 270: 126241. (Paper)(Code)
Z. Song^#, Y. Zhao^#, X. Li^#, M. Fei, X. Zhao, M. Liu, C. Chen, C. Yeh, Q. Wang, G. Zheng, S. Ai, L. Zhang, “REHRSeg: Unleashing the Power of Self-supervised Super-resolution for Resource-efficient 3D MRI Segmentation,” Neurocomputing, 2025, 624: 129425. (Paper)(Code)
Z. Song, P. Du, J. Yan, K. Li, J. Shou, M. Lai, Y. Fan, Y. Xu, “Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images,” IEEE Transactions on Medical Imaging, 2024, 43(1): 459-472. (Paper)(Code)
X. Wang^#, Z. Song^#, Y. Zhu, S. Wang, L. Zhang, D. Shen, Q. Wang, “Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning,” ISBI, 2024.
M. Liu, Z. Song, D. Chen, X. Wang, Z. Zhuang, M. Fei, L. Zhang, Q. Wang, “Affinity Learning based Brain Function Representation for Disease Diagnosis,” MICCAI Early Accept, 2024. (Paper)
M. Fei, Z. Shen, Z. Song, X. Wang, M. Cao, L. Yao, X. Zhao, Q. Wang, L. Zhang, “Distillation of Multi-class Cervical Lesion Cell Detection via Synthesis-aided Pre-training and Patch-level Feature Alignment,” Neural Networks, 2024. (Paper)
M. Fei, Xin Z., D. Chen, Z. Song, Q. Wang, L. Zhang, “Whole Slide Cervical Cancer Classification via Graph Attention Networks and Contrastive Learning,” Neurocomputing, 2024.
L. Yao, D. Chen, X. Zhao, M. Fei, Z. Song, X. Xue, Y. Zhan, B. Song, F. Shi, Q. Wang, D. Shen, “AASeg: Artery-aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images,” IEEE Transactions on Medical Imaging, 2024. (Paper)
D. Chen, M. Liu, Z. Shen, L. Yao, X. Zhao, Z. Song, H. Yuan, Q. Wang, L. Zhang, “Exploring Multi-Connectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification,” IEEE Transactions on Neural Networks and Learning Systems, 2024. (Paper)
D. Chen, L. Yao, M. Liu, Z. Shen, Y. Hu, Z. Song, Q. Wang, L. Zhang, “Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis,” MICCAI, 2024.
Z. Song, X. Wang, X. Zhao, S. Wang, Z. Shen, Z. Zhuang, M. Liu, Q. Wang, L. Zhang, “Alias-Free Co-modulated Network for Cross-modality Synthesis and Super-resolution of MR Images,” MICCAI Early Accept, 2023. (Paper)(Code)
M. Fei, X. Zhang, M. Cao, Z. Shen, X. Zhao, Z. Song, Q. Wang, and L. Zhang, “Robust Cervical Abnormal Cell Detection via Distillation from Local-scale Consistency Refinement,” MICCAI, 2023. (Paper)(Code)
X. Wang^#, Z. Shen^#, Z. Song, S. Wang, M. Liu, L. Zhang, K. Xuan, Q. Wang, “ Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion,” MIML, 2023. (Paper)