BloodCounts! at ICIAM 2023, Tokyo

BloodCounts! was excited to send some of our team to the 10th International Congress on Industrial and Applied Mathematics 2023 in Tokyo.

They gave a range of talks based on work they have developed as part of the BloodCounts! project.

Fan Zhang's talk was: "Mitigating Non-IID Data Challenges in Federated Learning for Healthcare Applications".

Mary Chriselda Antony Oliver's talk was: "Linear Optimal Transport (LOT) Framework for Graph-Based Semi-Supervised Learning using Point Cloud Data".

Mike Robert's talk was: "A tale of two crises: COVID-19 and ML reproducibility".

Daniel Kreuter's talk was: "Multi-domain & Multi-task Generalisation on Real-World Clinical Data".

Samuel Tull's talk was: "Disentangling domain bias in medical images for meaningful embeddings".

The BloodCounts! team at ICIAM

Fan Zhang's talk

Daniel Kreuter's talk

Mike Robert's talk