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)

A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation. - Neha Gianchandani; Johanna Ospel; M. Ethan MacDonald; Roberto Souza 001 (MLMI@MICCAI (2), 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)

Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage. - Reza Kakavand; Mehrdad Palizi; Peyman Tahghighi; Reza Ahmadi; Neha Gianchandani; Samer Adeeb; Roberto Souza 001; W. Brent Edwards; Amin Komeili (CoRR, 2023)

Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images. - Neha Gianchandani; Aayush Jaiswal; Dilbag Singh; Vijay Kumar 003; Manjit Kaur (J. Ambient Intell. Humaniz. Comput., 2023)

Unsupervised Domain Adaptation of MRI Skull-stripping Trained on Adult Data to Newborns. - Abbas Omidi; Aida Mohammadshahi; Neha Gianchandani; Regan King; Lara Leijser; Roberto Souza 001 (WACV, 2024)