faimi-workshop.github.io - FAIMI | Fairness of AI in Medical Imaging

Description: An independent academic initiative

Example domain paragraphs

Research on fairness, equity, and accountability in the context of machine learning has extensively demonstrated ethical risks in the deployment of such systems, including for medical image analysis. In a series of interdisciplinary events, our aim is to advance the discourse around fairness issues in the medical image analysis community.

Next up: our free, fully virtual FAIMI workshop on Nov 6th !

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

Links to faimi-workshop.github.io (2)

e-pet.github.io Eike Petersen
ys-zong.github.io About me - Yongshuo Zong / Home