Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging. - Mahsa Dibaji; Neha Gianchandani; Akhil Nair; Mansi Singhal; Roberto Souza 001; Mariana P. Bento (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach. - Neha Gianchandani; Mahsa Dibaji; Mariana P. Bento; M. Ethan MacDonald; Roberto Souza 001 (CoRR, 2023)

A voxel-level approach to brain age prediction: A method to assess regional brain aging. - Neha Gianchandani; Mahsa Dibaji; Johanna Ospel; Fernando Vega; Mariana P. Bento; M. Ethan MacDonald; Roberto Souza 001 (CoRR, 2023)

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. - Farzaneh Dehghani; Mahsa Dibaji; Fahim Anzum; Lily Dey; Alican Basdemir; Sayeh Bayat; Jean-Christophe Boucher; Steve Drew; Sarah Elaine Eaton; Richard Frayne; Gouri Ginde; Ashley Harris; et al. (CoRR, 2024)

Sex differences in brain MRI using deep learning toward fairer healthcare outcomes. - Mahsa Dibaji; Johanna Ospel; Roberto Souza 001; Mariana P. Bento (Frontiers Comput. Neurosci., 2024)