most citedFedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.SP2024★ 1 cited

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data

Yukun Zhang, Guanzhong Chen, Zenglin Xu +6

Cardiovascular diseases (CVDs) are currently the leading cause of death worldwide, highlighting the critical need for early diagnosis and treatment. Machine learning (ML) methods c…

cs.CV2023

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation

Jiesi Hu, Yanwu Yang, Xutao Guo +2

Source-free domain adaptation (SFDA) aims to adapt models trained on a labeled source domain to an unlabeled target domain without the access to source data. In medical imaging sce…