Selected Publications

Full List

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Journal

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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

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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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

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah Frisken, Quanzheng Li, Yefeng Zheng, Raymond Tong.
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023.
Paper

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
Code, Code

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

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