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Selected Publications

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Journal
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Exploiting Image-Report Differences and Inter-View Commonality for Diffusion-based Multi-View Chest X-ray Image Generation
Jinghan Sun, Dong Wei, Yanfeng Li, Steven McDonagh, Sotirios A. Tsaftaris, Yuyang Xue, Zhe Xu, Donghuan Lu, Hong Wang, Xian Wu, Yefeng Zheng, Liansheng Wang
MedIA (under review), 2025.

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Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Liansheng Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng.
IEEE TMI, 2024. Paper


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Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction
Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng.
Medical Image Analysis (MedIA), 2024.
Paper, Code


Conference
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Multimodal Dual-Path Large-Model Decoding for Radiology Report Generation
Jinghan Sun, Dong Wei, Zhihong Zhu, Yuyang Xue, Steven McDonagh, Xian Wu
the Association for Computational Linguistics (ACL 2026, under review) .


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You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.
Paper, Code


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Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning
Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
Paper, Code


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Lesion guided explainable few weak-shot medical report generation
Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.
Paper, Code