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Federated Multi-Organ Segmentation With Inconsistent Labels.
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FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation.
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Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.
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Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction.
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Medical federated learning with joint graph purification for noisy label learning.
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UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution.
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A highly generalized federated learning algorithm for brain tumor segmentation.
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Real world federated learning with a knowledge distilled transformer for cardiac CT imaging.
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Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation.
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Federated learning for medical image analysis: A survey.
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1
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation.
IEEE Trans Med Imaging. 2023 Jul;42(7):2106-2117. doi: 10.1109/TMI.2023.3263072. Epub 2023 Jun 30.
2
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation.
IEEE Trans Med Imaging. 2023 Jul;42(7):1955-1968. doi: 10.1109/TMI.2022.3233405. Epub 2023 Jun 30.
3
Federated Partially Supervised Learning With Limited Decentralized Medical Images.
IEEE Trans Med Imaging. 2023 Jul;42(7):1944-1954. doi: 10.1109/TMI.2022.3231017. Epub 2023 Jun 30.
4
6
The Medical Segmentation Decathlon.
Nat Commun. 2022 Jul 15;13(1):4128. doi: 10.1038/s41467-022-30695-9.
9
Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.
IEEE Trans Med Imaging. 2022 Jun;41(6):1331-1345. doi: 10.1109/TMI.2021.3139999. Epub 2022 Jun 1.
10
Federated learning for predicting clinical outcomes in patients with COVID-19.
Nat Med. 2021 Oct;27(10):1735-1743. doi: 10.1038/s41591-021-01506-3. Epub 2021 Sep 15.

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