Meirui Jiang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Medical Image Segmentation

Top Venues

IEEE Trans. Medical Imaging

BrainLes@MICCAI (2)

Publications

Wenao Ma, Cheng Chen, Yuqi Gong, Nga Yan Chan, Meirui Jiang, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. IEEE Trans. Medical Imaging 43 (8) (2024)
Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate. ICLR (2024)
Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. WACV (2023)
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, Eung-Joo 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 Kirtac, 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
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. 86 (2023)
Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (7) (2023)
Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR (2023)
Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. CoRR (2023)
Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. MICCAI (2) (2023)
Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging. CoRR (2023)
Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. MICCAI (2) (2023)
Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR (2023)
Meirui Jiang, Zirui Wang, Qi Dou
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. AAAI (2022)
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
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022)
Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging 41 (12) (2022)
Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. MICCAI (3) (2022)
Meirui Jiang, Hongzheng Yang, Chen Cheng, Qi Dou
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. CoRR (2022)
Meirui Jiang, Hongzheng Yang, Xiaofan Zhang, Shaoting Zhang, Qi Dou
Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning. BrainLes@MICCAI (2) (2022)
Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer. CoRR (2022)
Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR (2022)
Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance. CoRR (2022)
Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) (2021)
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, Eung-Joo 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
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark. CoRR (2021)
Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. CoRR (2021)
Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou
TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning. CoRR (2021)
Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. ICLR (2021)
Meirui Jiang, Zirui Wang, Qi Dou
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. CoRR (2021)
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
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 4 (2021)