Heehwan Wang on Muck Rack

Heehwan Wang

As seen in: medRxiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Heehwan

Contact Heehwan, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Polygenic Risk-Informed White Matter Integrity Improves Deep Learning-Based Prediction of Youth Depression

|
By Jiook Cha, Heehwan Wang, Eunji Lee, Jungyoun Janice Min
| medRxiv
The authors have declared no competing interest.
Open in Who Shared Issue with article?

Predicting task-related brain activity from resting-state brain dynamics with fMRI Transformer

|
By Junbeom Kwon, Jungwoo Seo, Heehwan Wang, Taesup Moon
| biorxiv.org
Abstract Accurate prediction of the brain's task reactivity from resting-state functional magnetic resonance imaging (fMRI) data remains a significant challenge in neuroscience. Traditional statistical approaches often fail to capture the complex, nonlinear spatiotemporal patterns of brain function. This study introduces SwiFUN (Swin fMRI UNet Transformer), a novel deep-learning framework designed to predict 3D task activation maps directly from resting-state fMRI scans.
Open in Who Shared Issue with article?
See all 2 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified