Meirui Jiang

Orcid: 0000-0003-4228-8420

According to our database1, Meirui Jiang authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage.
IEEE Trans. Medical Imaging, August, 2024

Language-Enhanced Local-Global Aggregation Network for Multi-organ Trauma Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2023

Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fair Federated Medical Image Segmentation via Client Contribution Estimation.
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.
IEEE Trans. Medical Imaging, 2022

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2022

Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance.
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.
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.
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.
npj Digit. Medicine, 2021

TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning.
CoRR, 2021

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021


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