Meirui Jiang

According to our database, Meirui Jiang authored at least 16 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.

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 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

Medical Image Anal., May, 2023

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation.

Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou

IEEE Trans. Medical Imaging, 2023

Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.

Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging.

Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation.

Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fair Federated Medical Image Segmentation via Client Contribution Estimation.

Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images.

Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou

IEEE Trans. Medical Imaging, 2022

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

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

npj Digit. Medicine, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning.

Meirui Jiang, Hongzheng Yang, Xiaofan Zhang, Shaoting Zhang, Qi Dou

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images.

Meirui Jiang, Zirui Wang, Qi Dou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.

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

npj Digit. Medicine, 2021

TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning.

Meirui Jiang, Xiaofei Zhang, Michael Kamp, Xiaoxiao Li, Qi Dou

CoRR, 2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.

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

CoRR, 2021

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou

Proceedings of the 9th International Conference on Learning Representations, 2021

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning.

Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021