Meirui Jiang - RankMe

33 papers A* 5A 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning - First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings BRIDGE/DeCaF@MICCAI Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas, Nicola Rieke
2025	J	`jnl`	U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding. CoRR Anjie Le, Henan Liu, Yue Wang, Zhenyu Liu, Rongkun Zhu, Taohan Weng, Jinze Yu, Boyang Wang, Yalun Wu, Kaiwen Yan, Quanlin Sun, Meirui Jiang, Jialun Pei, Siya Liu, Haoyun Zheng, Zhoujun Li, J. Alison Noble, Jacques Souquet, Xiaoqing Guo, Manxi Lin, Hongcheng Guo
2024	J	`jnl`	Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. IEEE Trans. Medical Imaging Wenao Ma, Cheng Chen, Yuqi Gong, Nga Yan Chan, Meirui Jiang, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou
2024	—	`ed.`	Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings DART@MICCAI Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
2024	A*	`conf`	Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. ICLR Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou
2024	—	`conf`	Language-Enhanced Local-Global Aggregation Network for Multi-organ Trauma Detection. MICCAI (5) Jianxun Yu, Qixin Hu, Meirui Jiang, Yaning Wang, Chin Ting Wong, Jing Wang, Huimao Zhang, Qi Dou
2024	A*	`conf`	Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. NeurIPS Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li
2024	J	`jnl`	Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning. CoRR Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li
2023	—	`conf`	Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. MICCAI (2) Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou
2023	J	`jnl`	Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. CoRR Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou
2023	J	`jnl`	Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. Martin Wagner, 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, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eungjoo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt
2023	A*	`conf`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	J	`jnl`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	—	`conf`	FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. MICCAI (2) Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li
2023	J	`jnl`	FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. CoRR Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li
2023	A	`conf`	Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. WACV Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen
2023	J	`jnl`	IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. IEEE Trans. Medical Imaging Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou
2022	J	`jnl`	Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine Qi Dou, 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, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2022	J	`jnl`	DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou
2022	J	`jnl`	DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou
2022	—	`conf`	Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou
2022	J	`jnl`	Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou
2022	—	`conf`	Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning. BrainLes@MICCAI (2) Meirui Jiang, Hongzheng Yang, Xiaofan Zhang, Shaoting Zhang, Qi Dou
2022	J	`jnl`	Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. CoRR Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen
2022	A*	`conf`	HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. AAAI Meirui Jiang, Zirui Wang, Qi Dou
2022	J	`jnl`	IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. CoRR Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou
2021	J	`jnl`	Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. CoRR Martin Wagner, 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, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eungjoo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt
2021	—	`conf`	Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng
2021	A*	`conf`	FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. ICLR Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
2021	J	`jnl`	FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. CoRR Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
2021	J	`jnl`	Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine Qi Dou, 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, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng
2021	J	`jnl`	HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. CoRR Meirui Jiang, Zirui Wang, Qi Dou
2021	J	`jnl`	TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. CoRR Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou