Meirui Jiang
Orcid: 0000-0003-4228-8420
According to our database1,
Meirui Jiang
authored at least 19 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage.
IEEE Trans. Medical Imaging, August, 2024
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
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
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
CoRR, 2021
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
CoRR, 2021
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