TL;DR
- Fairness of AI in Medical Imaging - London Mini-Symposium
- June 30th 2025, 14:00 – 16:45 UTC+1 Time (British Summer Time)
- Hybrid & free!
- For the in-person workshop, there will be refreshments for arrival and coffee break during the event.
- Register using this form both for virtual or in-person participation!
Full Schedule
All times are in UTC+1 Time (British Summer Time)
Organisers: Enzo Ferrante (CONICET / Universidad de Buenos Aires), Ben Glocker (Imperial College London)
Location: Imperial College London, Huxley Building, Rooms 217/218 ([directions])
Time: 14:00 – 16:45 UTC+1 Time (British Summer Time)
Delivery mode: Hybrid – Streamed as a webinar on Zoom (details to follow)
Registration form (Required for both virtual or in person): Click here
Agenda
Time | Presenter | Title |
---|---|---|
13:30 – 14:00 | — | Arrival with refreshments |
14:00 | Enzo Ferrante / Ben Glocker | Opening remarks |
14:00 – 14:20 | Ira Ktena (Google DeepMind) | Interpreting model biases through different modalities: an HCI perspective |
14:20 – 14:40 | Rodrigo Echeveste (CONICET / UNL) | On being fairly (un)certain, and how (not) to assess it |
14:40 – 15:00 | Mélanie Roschewitz (Imperial College London) | Robust image representations with counterfactual contrastive learning |
15:00 – 15:30 | — | Coffee break |
15:30 – 15:50 | Charles Jones (Imperial College London) | Understanding Causal and Statistical Dataset Biases in Medical Imaging |
15:50 – 16:10 | Andy King (King’s College London) | Understanding-informed bias mitigation for CMR segmentation |
16:10 – 16:30 | Jessica Schrouff (GSK) | Mind the graph when balancing data for fairness or robustness |
16:30 | Enzo Ferrante / Ben Glocker | Closing remarks |
Sponsors

Contacts
Please direct any inquiries related to the symposium to eferrante@dc.uba.ar.