BloodCounts Consortium

According to our database, BloodCounts Consortium authored at least 4 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction.

Fan Zhang, Simon Deltadahl, Majid Lotfian Delouee, Daniel Kreuter, Joseph Taylor, Allerdien Visser, BloodCounts Consortium, James H. F. Rudd, Nicholas S. Gleadall, Suthesh Sivapalaratnam, Folkert W. Asselbergs, Martijn Schut, Michael Roberts

CoRR, May, 2026

Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research.

Fan Zhang, Daniel Kreuter, Javier Fernández-Marqués, BloodCounts Consortium, Gregory Verghese, Bernard Butler, Nicholas D. Lane, Suthesh Sivapalaratnam, Joseph Taylor, Norbert C. J. de Wit, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Michael Roberts

CoRR, March, 2026

2024

Deep Generative Classification of Blood Cell Morphology.

Simon Deltadahl, Julian D. Gilbey, Christine van Laer, Nancy Boeckx, Mathie P. G. Leers, Tanya Freeman, Laura Aiken, Timothy Farren, Matthew Smith, Mohamad Zeina, BloodCounts Consortium, Concetta Piazzese, Joseph Taylor, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Suthesh Sivapalaratnam, Michael Roberts, Parashkev Nachev

CoRR, 2024

2023

Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data.

Daniel Kreuter, Samuel Tull, Julian D. Gilbey, Jacobus Preller, BloodCounts Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts

CoRR, 2023