Mirza Faisal Beg

This study examines the temporal pattern of brain age gaps in Alzheimer's Disease progression using longitudinal neuroimaging data and finds a faster increase in BAG for those progressing from MCI to AD.

This paper develops a 3D-CNN model using transfer learning to predict conversion from MCI to DAT, achieving 82.4% accuracy and identifying key brain regions associated with disease progression.

The paper investigates the association between SNPs in Alzgene linkage regions and brain structural changes using ADNI data, identifying prioritized SNPs linked to imaging phenotypes.