TL;DR
- Fairness & Medical Imaging-based speakers and discussions
- Dec 4th, 2024, 14:00-17:00 GMT/UTC
- Fully virtual & free!
- Also see our MICCAI 2024 workshop on the same subject and last year’s iteration of this event
- Join the symposium by Zoom link here!
Keynote Speaker
Roxana Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou. She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI) and the AI in Medicine and Imaging (AIMI) centers.
Full Schedule
All times are in UTC/GMT
| Time | Speaker and Title |
|---|---|
| 14:00 | Opening Remarks |
| SESSION 1 | |
| 14:10 | Invited talks: |
| Improved fairness and accuracy of skin disease image classification using alignment with clinical text representations, Gagan Raj Gupta, Indian Institute of Technology, India | |
| Understanding AI bias in CMR segmentation, Tiarna Lee, King’s College London, UK | |
| Bias in motion: Theoretical insights into the dynamics of bias in SGD training, Stefano Sarao Manelli, Chalmers University of Technology, Sweden | |
| Debiased noise editing on foundation models for fair medical image classification , Ruinan Jin, University of British Columbia, Canada | |
| 15:20 | Break |
| SESSION 2 | |
| 15:30 | Keynote 1: Roxana Daneshjou, USA - AI in healthcare: hype or gamechanger? |
| 16:30 | Panel Discussion: Roxana Daneshjou, Mercy Asiedu, Maria Zuluaga and FAIMI organisers |
| 17:00 | Closing Remarks |
Organizers
Aasa Feragen, DTU Compute, Technical University of Denmark
Andrew King, King’s College London
Ben Glocker, Imperial College London
Enzo Ferrante, CONICET, Universidad Nacional del Litoral
Eike Petersen, Fraunhofer Institute for Digital Medicine MEVIS, Germany
Esther Puyol-Antón, HeartFlow and King’s College London
Melanie Ganz-Benjaminsen, University of Copenhagen and Neurobiology Research Unit, Rigshospitalet
Veronika Cheplygina, IT University Copenhagen
Contacts
Please direct any inquiries related to the workshop or this website to faimi-organizers@googlegroups.com.