Domestic Conferences

Investigation of different neuronal substrates between electronic cigarette and tobacco via mixed-effects multilevel analysis considering subject variability from an fMRI

Heo DW, Jang YJ, Kim HC, Lee JH

Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2017
[Best Poster Award]
Test-retest reliability of dynamic resting-state functional connectivity patterns using deep neural network based classification

Lee JHyeon, Lee JH 

Annual meeting of Organisation for Human Brain Mapping, Korea Chapter, Korean Society for Human Brain Mapping (KHBM), Nov/2017
Investigation of objective assessment of depression from young adults based on brain connectivity features and biological rhythms

Kim HC, Cho CH, Lee JH

Korean Society for Brain and Neural Sciences (KSBNS) 2017, Aug/2017
Estimation of task-related regions from default-mode networks in the real-time fMRI settings

Kim DY, Lee JH

[Summer] Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jul/2017
Human emotion prediction via deep neural network using the whole brain fMRI data

Kim HC, Lee JH

[Summer] Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jul/2017
Distinct neuronal responses differences between electronic cigarette and regular/tobacco cigarette: fMRI study

Heo DW, Jang Y, Kim HC, Lee JH

[Summer] Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jul/2017
Evaluation of MR-compatible e-cigarette smoking equipment to use in an MRI environment

Jo SM, Heo DW, Kim HC, Lee JH

[Summer] Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Jul/2017
Estimation of task-related brain regions functionally connected from the default-mode networks from the real-time fMRI data

Kim DY, Lee JH

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Feb/2017
Emotion prediction from the fMRI data using deep neural network

Kim HC, Lee JH

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Feb/2017
[Best Poster Award]
Distinction of neuronal substrates between electronic cigarette and tobacco via psychophysiological interaction analysis using fMRI data

Heo DW, Jang Y, Kim HC, Lee JH

Brain and Artificial Intelligence Symposium, Brain Engineering Society of Korea (BESK), Feb/2017