[HTML][HTML] Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures
L Dular, Ž Špiclin… - Biomedicines, 2024 - mdpi.com
Background: Brain age prediction from brain MRI scans and the resulting brain age gap
(BAG)—the difference between predicted brain age and chronological age—is a general …
(BAG)—the difference between predicted brain age and chronological age—is a general …
Superpixel-ComBat modeling: A joint approach for harmonization and characterization of inter-scanner variability in T1-weighted images
CL Chen, ME Torbati, DS Minhas, CM Laymon… - Imaging …, 2024 - direct.mit.edu
T1-weighted imaging holds wide applications in clinical and research settings; however, the
challenge of inter-scanner variability arises when combining data across scanners, which …
challenge of inter-scanner variability arises when combining data across scanners, which …
Mechanisms of age-related ocular diseases: a comprehensive review with an emphasis on glaucoma
S Reinehr, AE Köseoğlu, W Qin, T Tsai, HB Dick… - Aging …, 2024 - journals.lww.com
With aging, senescence-related diseases are increasing in prevalence. The senescence of
cells in the central nervous system has been linked with the development of …
cells in the central nervous system has been linked with the development of …