Kyoungseob Byeon

This paper develops a framework combining Oblique Random Forests and NEOFIT for sex classification in brain imaging across species, achieving high accuracy and interpretable feature importance.

This study examines how spatiotemporal brain activity propagations change from childhood to early adulthood, finding that certain propagation patterns become more prevalent with age and correlate with cognitive performance.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

This study examines how thalamocortical connectivity changes with age and contributes to the development of large-scale functional brain networks from infancy to young adulthood.

The paper identifies three subgroups of eating behavior traits independent of obesity using functional connectivity and autoencoder-based feature representation in healthy adults.

The paper examines how BMI variations relate to functional brain organization by analyzing connectome structure in healthy young adults, finding increased segregation and disrupted hierarchy in higher BMI individuals.