Confounder aware Deep Learning Models for Neuroimaging Applications - FAIMI 2022

In this talk, Qingyu Zhao will introduce you to "Confounder-aware Deep Learning Models for Neuroimaging Applications".
This was the fifh talk in the Fairness of AI in Medical Imaging Workshop 2022 organized by:
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, King’s College London
Melanie Ganz-Benjaminsen, Dept. of Computer Science, University of Copenhagen & Neurobiology Research Unit, Rigshospitalet
Veronika Cheplygina, IT University Copenhagen
More details about the workshop can be found on the website of the workshop: faimi-workshop...