Ami Tsuchida

This study identifies a shared genetic factor underlying brain age gaps across 30 cohorts, finding 19 SNPs and associations with health traits.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

The paper introduces a deep learning tool, SHIVA-WMH, for detecting white matter hyperintensities across different WMH severities and demonstrates its superior performance compared to existing methods.

This study examines regional changes in white matter volume and microstructure in young adults using MRI data from 1,713 university students, revealing age-related variations in microstructural properties.

The paper introduces the MRi-Share database, a multi-modal brain MRI dataset of 1,870 young adults, and presents preliminary findings on age and sex associations with brain phenotypes.

This paper develops a deep learning algorithm for 3D segmentation of perivascular spaces in MRI data, achieving high accuracy and demonstrating interoperability across scanners.

This study examines age-related changes in PSMD across the adult lifespan using multi-cohort diffusion tensor imaging data, finding PSMD increases consistently while other metrics show different age patterns.