Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. - Youtan Yin; Hongzheng Yang; Quande Liu; Meirui Jiang; Cheng Chen 013; Qi Dou 001; Pheng-Ann Heng (BrainLes@MICCAI (2), 2021)

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. - Xiaoxiao Li; Meirui Jiang; Xiaofei Zhang; Michael Kamp; Qi Dou 001 (ICLR, 2021)

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. - Martin Wagner 001; Beat Peter Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Tong Yu 009; et al. (CoRR, 2021)

TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. - Meirui Jiang; Xiaofei Zhang; Michael Kamp; Xiaoxiao Li; Qi Dou 001 (CoRR, 2021)

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2021)

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. - Meirui Jiang; Zirui Wang; Qi Dou 001 (AAAI, 2022)

Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning. - Meirui Jiang; Hongzheng Yang; Xiaofan Zhang 002; Shaoting Zhang 001; Qi Dou 001 (BrainLes@MICCAI (2), 2022)

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. - Meirui Jiang; Hongzheng Yang; Xiaoxiao Li; Quande Liu; Pheng-Ann Heng; Qi Dou 001 (MICCAI (3), 2022)

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. - Qi Dou 001; Tiffany Y. So; Meirui Jiang; Quande Liu; Varut Vardhanabhuti; Georgios Kaissis; Zeju Li; Weixin Si; Heather H. C. Lee; Kevin Yu; Zuxin Feng; Li Dong; et al. (npj Digit. Medicine, 2022)

DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. - Hongzheng Yang; Cheng Chen 013; Meirui Jiang; Quande Liu; Jianfeng Cao; Pheng-Ann Heng; Qi Dou 001 (IEEE Trans. Medical Imaging, 2022)

Fair Federated Medical Image Segmentation via Client Contribution Estimation. - Meirui Jiang; Holger R. Roth; Wenqi Li 001; Dong Yang 005; Can Zhao 001; Vishwesh Nath; Daguang Xu; Qi Dou 001; Ziyue Xu 001 (CVPR, 2023)

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. - Minghui Chen; Meirui Jiang; Qi Dou 001; Zehua Wang; Xiaoxiao Li (MICCAI (2), 2023)

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. - Meirui Jiang; Yuan Zhong 003; Anjie Le; Xiaoxiao Li; Qi Dou 001 (MICCAI (2), 2023)

Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. - Junming Chen; Meirui Jiang; Qi Dou 001; Qifeng Chen (WACV, 2023)

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. - Meirui Jiang; Hongzheng Yang; Cheng Chen 013; Qi Dou 001 (IEEE Trans. Medical Imaging, 2023)

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. - Martin Wagner 001; Beat P. Müller-Stich; Anna Kisilenko; Duc Tran; Patrick Heger; Lars Mündermann; David M. Lubotsky; Benjamin Müller; Tornike Davitashvili; Manuela Capek; Annika Reinke; Carissa Reid; et al. (Medical Image Anal., 2023)

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. - Meirui Jiang; Anjie Le; Xiaoxiao Li; Qi Dou 001 (ICLR, 2024)

Language-Enhanced Local-Global Aggregation Network for Multi-organ Trauma Detection. - Jianxun Yu; Qixin Hu; Meirui Jiang; Yaning Wang; Chin Ting Wong; Jing Wang; Huimao Zhang; Qi Dou 001 (MICCAI (5), 2024)

Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. - Minghui Chen; Meirui Jiang; Xin Zhang; Qi Dou 001; Zehua Wang; Xiaoxiao Li (NeurIPS, 2024)

Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. - Wenao Ma; Cheng Chen 013; Yuqi Gong; Nga Yan Chan; Meirui Jiang; Calvin Hoi-Kwan Mak; Jill M. Abrigo; Qi Dou 001 (IEEE Trans. Medical Imaging, 2024)

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding. - Anjie Le; Henan Liu; Yue Wang; Zhenyu Liu; Rongkun Zhu; Taohan Weng; Jinze Yu; Boyang Wang; Yalun Wu; Kaiwen Yan; Quanlin Sun; Meirui Jiang; et al. (CoRR, 2025)