1 citations · 1 across the 4 of their papers we have counts for
4 papers
Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction
Fan Zhang, Simon Deltadahl, Majid Lotfian Delouee +10
Recent reviews find that the vast majority of published healthcare federated learning (FL) studies never reach real-world deployment. We developed an embedding-based FL pipeline fo…
Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research
Fan Zhang, Daniel Kreuter, Javier Fernandez-Marques +10
Collaborative healthcare research across multiple institutions increasingly requires diverse clinical datasets, but cross-border data sharing is strictly constrained by privacy reg…
Deep Generative Classification of Blood Cell Morphology
Simon Deltadahl, Julian Gilbey, Christine Van Laer +16
Accurate classification of haematological cells is critical for diagnosing blood disorders, but presents significant challenges for machine automation owing to the complexity of ce…
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
Daniel Kreuter, Samuel Tull, Julian Gilbey +8
Clinical data is often affected by clinically irrelevant factors such as discrepancies between measurement devices or differing processing methods between sites. In the field of ma…