International Conferences

Nicotine craving: an fMRI study via MR-compatible e-cigarette equipment and machine learning

Jo SM, Heo DW, Kim HC, Lustig N, Lee JH.

OHBM 2018/Jun. Singapore
Classification of collaboration and competition with different reasoning orders using fMRI data

Kim DY, Jung EK, Jun Zhang, Lee SY, Lee JH.

OHBM 2018/Jun. Singapore
[Oral Presentation & Travel Stipend Award]
Mediation analysis of triple networks may interpret mindfulness in real-time fMRI neurofeedback

Kim HC, Meinlschmidt G, Stalujanis E, Belardi A, Jo SM, Lee JHyeon, Heo DW, Kim DY, Tegethoff M, Yoo SS, Lee JH.

OHBM 2018/Jun. Singapore
Deep Learning as Brain Signal Processing Tool for functional Magnetic Resonance Imaging (fMRI)

Vu H, Kim HC, Lee JH.

ACVYS 2018/May, Seoul, South Korea
[Oral Presentation & Best presentation Award]
Mediation analysis between triple networks reflects functional connectivity changes from a mindfulness training in real-time fMRI neurofeedback setting

Kim HC, Tegethoff M, Meinlschmidt G, Stalujanis E, Belardi A, Jo SM, Lee JHyeon, Kim DY, Yoo SS, Lee JH.

Real-time Functional Imaging and Neurofeedback (rtFIN), 2017/Nov, Nara, Japan
[Best Poster Award & Travel Award]
Auto-encoders denoise blood oxygenation level-dependent signals and improve group inference

Lee JH, Vinai Roopchansingh, J. Andrew Derbyshire, Peter Bandettini

OHBM, 2017/Jun, Vancouver, Canada
Deep neural network predicts emotional responses using whole brain neuronal activations

Kim HC, Lee JH, 

OHBM, 2017/Jun, Vancouver, Canada
[Oral Presentation]