Neuroimaging & AI
for Psychiatry Lab
We are a group of researchers interested in integrating three domains of expertise: 🧠 Neuroimaging 🤖 AI 🧑🏻⚕️ Psychiatry
for promoting human mental health and revealing the mechanisms of higher cognitive capabilities of the human brain, led by Byung-Hoon Kim.
News
Paper accepted in Computers in Human Behavior 2026: Impact of Social Media Use in Static and Dynamic Functional Network Connectivity of Social Anxiety Disorder.
Received Outstanding Researcher Award (Research Funding Category) from Yonsei Institute for Digital Health (YIDH).
Two papers accepted at CVPR 2026: ReDirector and VPS.
Paper accepted in ICLR 2026: Stochastic Optimal Control for Continuous-Time fMRI Representation Learning.
New project funded — Yonsei Institute for AI and Social Innovation: Toward Safe Large Language Models — Mental Health Protection via Safety Metrics and Monitoring Frameworks. ₩35M (~$23K). (Co-Principal Investigator)
Paper accepted in Journal of Clinical Medicine 2025: Identifying Neurobehavioral Biomarkers of Anxiety and Treatment Response Using Virtual Reality, EEG, MRI, and Related Multimodal Measures.
Paper accepted in European Radiology 2025: Predicting Molecular Types of Adult-Type Diffuse Gliomas Based on MRI Reports with Large Language Models.
Contact
Location
For prospective graduate students and researchers interested in joining our lab, please contact ✉️ egyptdj (at) yonsei.ac.kr with your CV.
Relevant backgrounds include, but are not limited to, computer science, neuroscience, signal processing, and clinical psychology.