International Conferences

Evaluation of MR-compatible e-cigarette smoking equipment to use in an MRI environment

Jo SM, Heo DW, Kim HC, Lee JH

OHBM, 2017/Jun, Vancouver, Canada
Jun 6, 2017
Neuronal circuitry from electronic cigarette use from psychophysiological interaction analysis

Heo DW, Jang Y, Kim HC, Lee JH, 

OHBM, 2017/Jun, Vancouver, Canada
Jun 6, 2017
Deep neural network can predict an emotional response measured via functional MRI

Kim HC, Lee JH, 

PRNI, 2017/Jun, Toronto, Canada
Jun 6, 2017
Temporal-autoencoding neural network revealed the underlying functional dynamics of fMRI data: Evaluation using the Human Connectome Project data

Lee JH, Wong E, Bandettini P

ISMRM, 2017/Apr, Hawaii, USA
Apr 6, 2017
Evaluation of weight sparsity regularization schemes of deep neural networks applied to functional neuroimaging data

Kim HC, Lee JH, 

ICASSP, 2017/Mar, New Orleans, USA
[Oral Presentation]
Mar 6, 2017
Deep learning approaches to functional MRI data analysis

Lee JH

ICMRI, 2017/Mar, Grand Hilton Hotel, Seoul
Mar 6, 2017
Deep learning approach to resting-state networks analysis using fMRI data

Jang H, Lee JH,

SfN 2016, San Diego, CA, USA
Nov 6, 2016
Evaluation of weight sparsity control during autoencoder training of resting-state fMRI using non-zero ratio and Hoyer's sparseness measure

Kim HC, Lee JH, 

PRNI 2016, Trento, Italy
Nov 6, 2016
Reproducibility and hierarchy of weight features from resting fMRI using deep belief network

Jang H, Lee JH,

PRNI 2016, Trento, Italy
Nov 6, 2016
Enhanced pattern distinctness using support vector coefficients than multi-voxel beta values

Kim DY, Lee JH, 

OHBM 2016, Geneva, Switzerland
Nov 6, 2016