Youngeun Hwang

This paper develops a framework to distinguish radial and tangential fiber components in human superficial white matter and examines their microstructural and functional properties.

HippoGenes creates transcriptomic maps of the human hippocampus using spatial statistical models and the Allen Human Brain Atlas, enabling subregional gene expression analysis and disease-related molecular decoding.

This study identifies hierarchical neural signatures of language by linking semantic and phonological processing to brain networks using fMRI, myelin measures, and AI models.

MICAFlow provides a fast and robust MRI preprocessing pipeline that translates research workflows into clinical practice, achieving high registration accuracy and data reliability across diverse datasets.

The paper examines how cognitive states like resting and movie watching affect large-scale brain functional connectivity using fMRI data from the HCP and PNI datasets.

This paper introduces a method for profiling intracortical microstructure to assess laminar organisation, showing its robustness and reliability across different datasets and sites.

The paper develops a computational framework to study superficial white matter organization using 3D histology and 7T MRI, finding high structural complexity in the first 2 mm below the cortical boundary and correlations with cortical geometry and connectivity.

The paper shares a multimodal 7T MRI dataset of ten healthy individuals, providing structural and functional brain data across multiple imaging modalities and parcellation scales.