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

, , , , и . BrainLes@MICCAI (2), том 14092 из Lecture Notes in Computer Science, стр. 161-172. Springer, (2022)

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Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

 

Другие публикации лиц с тем же именем

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation., , , и . IEEE Trans. Medical Imaging, 42 (7): 2106-2117 (2023)IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation., , , и . CoRR, (2022)Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance., , , , , и . MICCAI (3), том 13433 из Lecture Notes in Computer Science, стр. 196-206. Springer, (2022)Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching., , , и . MICCAI (3), том 12903 из Lecture Notes in Computer Science, стр. 325-335. Springer, (2021)Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning., , , , и . BrainLes@MICCAI (2), том 14092 из Lecture Notes in Computer Science, стр. 161-172. Springer, (2022)DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images., , , , , , и . CoRR, (2022)Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization., , , , , и . CoRR, (2023)Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning., , , , , , и . BrainLes@MICCAI (2), том 12963 из Lecture Notes in Computer Science, стр. 433-443. Springer, (2021)