Michael E. Kim

The paper generates lifespan normative charts for cervical spinal cord morphometry using MRI data, revealing non-linear changes and sex differences across ages 0-100.

The paper develops an automated pipeline for segmenting and parcellating brainstem and subcortical white matter pathways using diffusion MRI data.

This paper introduces a three-stage cascade pipeline for automated cerebral microbleed detection in SWI MRI, achieving high accuracy with reduced false positives.

This study identifies genetic loci and pathways associated with limbic white matter microstructure in aging and Alzheimer's Disease using multi-cohort diffusion MRI and bulk RNA-seq data.

This study characterizes white matter asymmetry across the lifespan using a large dataset, revealing dynamic changes in asymmetry patterns with age.

The paper develops normative reference charts for white matter microstructure and macrostructure across the lifespan using diffusion MRI data from 50 studies.

This paper introduces a method to generate white matter tractograms from FLAIR images without diffusion data, showing it captures structural probabilities similar to diffusion-based tractography.

The paper evaluates the variability of GAMLSS-based brain charts using analytic and empirical methods, finding low coefficient of variation across most white matter features.

This study maps short-range prefrontal connections in the human brain using tractography informed by primate histology, achieving high precision and accuracy.

MidRISH harmonizes diffusion imaging data by projecting sites to a mid-space, reducing reference bias compared to LinearRISH.

The paper examines how sex, race, and APOE-ε4 allele status affect white matter microstructure across multiple aging and Alzheimer's disease cohorts.

The paper identifies functional white matter networks in BOLD fMRI using hierarchical clustering and validates their stability across scans and populations.

The paper compares low-cost photographic imaging methods with a 3-D camera for registering photographic images to CT scans, finding iPhone imaging has lower landmark error in some cases.