31 July 2023
Our IEEE TMI special issue on federated learning: 8 of the journal's 50 most-accessed articles in July 2023
Our special issue of IEEE Transactions on Medical Imaging on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models (vol. 42, issue 7, July 2023), which Shadi Albarqouni co-edited as guest editor (guest editorial), drew wide attention when it appeared. In July 2023, eight of its papers were among the journal’s 50 most-accessed articles on IEEE Xplore:
| Rank | Paper |
|---|---|
| #7 | Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging |
| #11 | FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation |
| #15 | Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases |
| #19 | Proportionally Fair Hospital Collaborations in Federated Learning of Histopathology Images |
| #24 | A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN |
| #29 | Federated Learning of Generative Image Priors for MRI Reconstruction |
| #38 | Federated Partially Supervised Learning With Limited Decentralized Medical Images |
| #50 | A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation |
FedMix stayed on the list in August 2023 (#26) and September 2023 (#38).
Source: IEEE Xplore, “Popular Articles” of IEEE Transactions on Medical Imaging, July 2023 (checked November 2026).