TL;DR

Call for Papers

We invite the submission of papers for

FAIMI: The MICCAI 2024 Workshop on Fairness of AI in Medical Imaging.

Over the past several years, research on fairness, equity, and accountability in the context of machine learning has extensively demonstrated ethical risks in the deployment of machine learning systems in critical infrastructure, such as medical imaging. The FAIMI workshop aims to encourage and emphasize research on and discussion of fairness of AI within the medical imaging domain. We therefore invite the submission of papers, which will be selected for oral or poster presentation at the workshop. Topics include but are not limited to:

The workshop proceedings will be published in the MICCAI workshops volumes of the Springer Lecture Notes Computer Science (LNCS) series. Papers should be anonymized and at most 8 pages plus at most 2 extra pages of references using the LNCS format. The review process is conducted in a double-blind manner, following MICCAI standards. Submissions are made in CMT.

Following the MICCAI paper submission guidelines, the submission of additional supplementary material is possible. This should be a separate file, and reviewers are under no obligation to review it; the paper must be self-contained and understandable without the supplementary material. Note that in the submission system, supplementary materials can only be added once a regular submission has been created. (You can still edit your submission until the deadline.)

Dates

All dates are Anywhere on Earth.

Full Paper Deadline: June 24, 2024

Notification of Acceptance: July 15, 2024

Camera-ready Version: August 1, 2024

Workshop: October 10th, 2024

Organizers

Aasa Feragen, DTU Compute, Technical University of Denmark
Andrew King, King’s College London
Ben Glocker, Imperial College London
Daniel Moyer, Vanderbilt University
Enzo Ferrante, CONICET, Universidad Nacional del Litoral
Eike Petersen, DTU Compute, Technical University of Denmark
Esther Puyol-Antón, HeartFlow and King’s College London
Melanie Ganz-Benjaminsen, University of Copenhagen & Neurobiology Research Unit, Rigshospitalet
Veronika Cheplygina, IT University Copenhagen

Contact

Please direct any inquiries related to the workshop or this website to faimi-organizers@googlegroups.com.