3 papers
cs.CV2023
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 +6
Simulation studies like finite element (FE) modeling provide insight into knee joint mechanics without patient experimentation. Generic FE models represent biomechanical behavior o…
eess.IV2023
Studying the Effects of Sex-related Differences on Brain Age Prediction using brain MR Imaging
Mahsa Dibaji, Neha Gianchandani, Akhil Nair +3
While utilizing machine learning models, one of the most crucial aspects is how bias and fairness affect model outcomes for diverse demographics. This becomes especially relevant i…
cs.CV2023
A voxel-level approach to brain age prediction: A method to assess regional brain aging
Neha Gianchandani, Mahsa Dibaji, Johanna Ospel +4
Brain aging is a regional phenomenon, a facet that remains relatively under-explored within the realm of brain age prediction research using machine learning methods. Voxel-level p…