International conference proceedings/abstracts

2017
Lee JH, E Wong, P. Bandettini
Temporal-autoencoding neural network extracts tack-relevant spatiotemporal features utilizing dynamic information of functional MRI time-series
SfN 2017/Nov, Washington, DC, USA

Lee JH, Vinai Roopchansingh, J. Andrew Derbyshire, Peter Bandettini
Auto-encoders denoise blood oxygenation level-dependent signals and improve group inference
OHBM 2017/JunVancouver, Canada

Kim DY, Lee JH, 
Estimation of task­ related regions from default­ mode networks in the real­time fMRI settings
OHBM 2017/JunVancouver, Canada

Kim HC, Lee JH, 
Deep neural network predicts emotional responses using whole brain neuronal activations
OHBM 2017/JunVancouver, Canada

Jo SM, Heo DW, Kim HC, Lee JH
Evaluation of MR-compatible e-cigarette smoking equipment to use in an MRI environment
OHBM 2017/JunVancouver, Canada

Heo DW, Jang Y, Kim HC, Lee JH, 
Neuronal circuitry from electronic cigarette use from psychophysiological interaction analysis
OHBM 2017/JunVancouver, Canada

Kim HC, Lee JH, 
Deep neural network can predict an emotional response measured via functional MRI 
PRNI 2017/JunToronto, Canada

Lee JH, Wong E, Bandettini P

Temporal-autoencoding neural network revealed the underlying functional dynamics of fMRI data: Evaluation using the Human Connectome Project data

ISMRM 2017/Apr, Hawaii, USA

Kim HC, Lee JH, 
Evaluation of weight sparsity regularization schemes of deep neural networks applied to functional neuroimaging data 
ICASSP 2017/Mar, New Orleans, USA

Lee JH
Deep learning approaches to functional MRI data analysis
ICMRI 2017/Mar, Grand Hilton Hotel, Seoul


2016
Jang H, Lee JH,
Deep learning approach to resting-state networks analysis using fMRI data
SfN 2016, San Diego, CA, USA

Kim HC, Lee JH, 
Evaluation of weight sparsity control during autoencoder training of resting-state fMRI using non-zero ratio and Hoyer's sparseness measure
PRNI 2016, Trento, Italy

Jang H, Lee JH,
Reproducibility and hierarchy of weight features from resting fMRI using deep belief network
PRNI 2016, Trento, Italy

Kim DY, Lee JH, 
Enhanced pattern distinctness using support vector coefficients than multi-voxel beta values
OHBM 2016, Geneva, Switzerland

Kim HC, Lee JH, 
Deep learning to predict the emotional response using functional MRI data
OHBM 2016, Geneva, Switzerland

Jang H, Lee JH, 
Deep neural network for age prediction using resting-state fMRI data
OHBM 2016, Geneva, Switzerland

Heo DW, Jang Y, Kim HC, Lee JH, 
Neuronal response of electronic cigarette use in comparison to tobacco use: an fMRI study
OHBM 2016, Geneva, Switzerland

2015
Kim HC, Lee JH, 
Investigation of ERD/ERS of motor imagery and EEG band­specific hemodynamic couplings via EEG­fMRI, 
OHBM 2015, Honolulu, USA

Kim DY, Kim HC, Lee JH, 
Can the default-mode networks estimate brain regions associated with a real-time fMRI neurofeedback? A feasibility study, 
The 2nd International Conference on Real Time Functional Imaging and Neurofeedback, Florida, USA

Kim DY, Kim HC, Lee JH, 
Data-driven multivariate analysis revealed the whole-brain functional connectivity changes associated with the real-time fMRI, 
The 2nd International Conference on Real Time Functional Imaging and Neurofeedback, Florida, USA

Kim DY, Lee JH, 
Hub of functional network changes from real-time fMRI neurofeedback on heavy smokers
3rd IEEE International Winter Workshop on Brain-Computer Interface (BCI), 2015

Kim HC, Lee JH, 
Desynchronization of the mu ocsiilatory activity during motor imagery: A preliminary EEG-fMRI study
3rd IEEE International Winter Workshop on Brain-Computer Interface (BCI), 2015

Jung EK, Zhang J, Lee SY, Lee JH, 
Multivariate approach toward classification of competition and collaboration: An fMRI study
3rd IEEE International Winter Workshop on Brain-Computer Interface (BCI), 2015

Oh M, Lee JH, 
Effects of spatial smoothing and physiological noise removal on brain activity with cigarette craving
3rd IEEE International Winter Workshop on Brain-Computer Interface (BCI), 2015

2014
Kim DY, Lee JH, 
Non-resting-state fMRI data analysis fMRI data analysis via default-mode networks: Feasibility study, 
the Fourth Biennial Conference on Resting State / Brain Connectivity, Boston, USA

Lee JH, Kim HC, Zhang Z, Lee SY, 
Neural bases of human strategic reasoning from functional MRI study, 
OHBM 2014, Hamburg, Germany

Kim DY, Lee JH, 
Unsupervised learning toward brain imaging data analysis: Cigarette craving and resistance related neuronal activations from functional magnetic resonance related neuronal activations from functional magnetic resonance imaging data analysis, 
SPIE DSS, Baltimore, Maryland, USA

Kang HJ, Lee JH, 
Functional network connectivity to enhance speech perception performance: A preliminary fMRI study, 
2nd IEEE International Winter Workshop on Brain-Computer Interface (BCI), 2014

Jung EK, Zhang J, Lee SY, Lee JH, 
A preliminary study on neural basis of strategic reasoning to social decision making
2nd IEEE International Winter Workshop on Brain-Computer Interface (BCI), 2014

Kim J, Lee JH, 
Effects of non-neuronal components for functional connectivity analysis from resting-state functional MRI toward automated diagnosis of schizophrenia, "Biomedical Applications in Molecular, Structural, and Functional Imaging" conference, 
SPIE Medical Imaging 2014. 

2013
Lee JH , Kang HJ, 
Functional connectivity networks of speech hearing: An fMRI study, 
Society for Neuroscience (SfN), 2013

Kim DY, Lee JH, 
Modulated Neuronal Activity and Connectivity of Smoking Resist Using Real-Time fMRI Neurofeedback
The International Conference on Neural Information Processing (ICONIP), 2013

Kang HJ, Lee JH, 
Neuronal Mechanism of Speech Hearing: An fMRI Study, 
The International Conference on Neural Information Processing (ICONIP), 2013

Jung EK, Zhang J, Lee SY, Lee JH, 
A preliminary study on neural basis of collaboration as mediated by the level of reasoning, 
The International Conference on Neural Information Processing (ICONIP), 2013

Kim HC, Lee JH, 
Random Segmentation based Principal Component Analysis to Remove Residual MR Gradient Artifact in the Simultaneous EEG/fMRI: A Preliminary Study, 
The International Conference on Neural Information Processing (ICONIP), 2013

Lee JH, Zhang J, Lee SY, 
Neuronal networks of human strategic reasoning: A preliminary functional MRI study, 
Organization for Human Brain Mapping (OHBM), 2013

Kang HJ, Lee JH, 
Neuronal networks strongly associated with speech hearing: functional MRI study, 
Organization for Human Brain Mapping (OHBM), 2013

Lee JH, Zhang J, Lee SY, 
Neural bases of strategic decision-making of human mind: a functional MRI study, 
Third Symposium on Biology and Decision Making (SBDM 2013), ICM-UPMC, Paris, France, May 29-30, 2013 

2012
Kim DY, Lee JH, 
Pseudo-real fMRI data generation and its utility toward quantitative evaluation of analytical methods, 
IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC) - Cybernetics Track, pp. 1095-1099, 2012

Kang HJ, Lee JH, 
Are there brain regions related to speech perception? Evidence from a functional MRI study, 
IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC) - Cybernetics Track, pp. 1100-1102, 2012

Kim YH, Lee JH, 
Does brightness matter during rest? Evidence from the resting-state functional MRI data analysis, 
Organization for Human Brain Mapping (OHBM), 2012

Lee HG, Kim DY, Kim YH, Lee JH, 
Does the medial orbitofrontal activation reflect smoking desire? Functional MRI study, 
Organization for Human Brain Mapping (OHBM), 2012

Kang HJ, Lee HG, Kim YH, Kim DY, Lee JH, 
Bilateralization of the human brain enhances speech perception? Evidence from functional MRI study, 
Organization for Human Brain Mapping (OHBM), 2012

Kim J, Lee JH, 
Variability of hemodynamic response functions from motor execuation and imagery tasks using a functional MRI data, 
International Symposium on Brain and Cognitive Engineering (BCE), 2012

Kim DY, Lee JH, 
Inter-stimulus variability in the BOLD response: Evidence from fMRI study, 
International Symposium on Brain and Cognitive Engineering (BCE), 2012

Kang HJ, Lee JH, 
Functional network related with language functional MRI study, 
International Symposium on Brain and Cognitive Engineering (BCE), 2012

Kim DY, Lee JH, 
Evaluation of analytical methods depending on temporal and spatial variability from fMRI data, 
Workshop on Neurobiology and Neuroinformatics (NBNI), 2012

Kang HJ, Lee JH, 
Involve of bilateral superior temporal gyrus in speech perception: Evidence from functional MRI study, 
Workshop on Neurobiology and Neuroinformatics (NBNI), 2012

Kim HC, Lee JH, 
Simultaneous EEG-fMRI analysis on smoking addiction: A pilot study, 
Workshop on Neurobiology and Neuroinformatics (NBNI), 2012
 
2011
Kim J, Lee JH, 
Functional Connectivity Analysis with Voxel-based Morphometry for Diagnosis of Mild Cognitive Impairment, 
The International Conference on Neural Information Processing (ICONIP), 2011

Kim YH, Lee JH, 
Reproducibility and Variability of Default-Mode Networks from functional MRI: Comparison between random- and mixed-effect group statistics, 
IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC) - Cybernetics Track, 2011

Kim J, Lee JH, 
Hyper- or hypo-activation with the Alzheimer’s disease? Comparison between random- and mixed-effects, 
Organization for Human Brain Mapping (OHBM), 2011

Kim YH, Lee JH, 
Intra-group variability of default-mode networks: Does a group-level statistic matter? 
Organization for Human Brain Mapping (OHBM), 2011

Lee JH, Kim J, Yoo SS, 
Automated classification of discrete human thoughts using functional magnetic resonance imaging (fMRI): Comparison between voxel-based and atlas-based feature selection methods, 
IEEE International Workshop on Pattern Recognition in NeuroImaging (PRNI), 2011

Kim J, Kim YH, Ha S, Shin HS, Lee JH, 
Integration of structural and functional MRI features improves mild cognitive impairment (MCI) detection, 
IEEE International Workshop on Pattern Recognition in NeuroImaging (PRNI), 2011

Kim J, Kim YH, Kim DY, Ha S. Lee JH, 
Integration of structural and functional biomarkers of MRI data toward early diagnosis of Alzheimer’s disease, 
The International Society for Magnetic Resonance in Medicine (ISMRM), 2011

Kim DY, Kim YH, Lee JH, 
Iterative Dual-Regression with Sparse Prior to Estimate Individual Activations from Group Funtional Magnetic Resonance Imaging (fMRI) Data, 
The Japanese Neural Network Society (JNNS), 2011

Kim DY, Lee JH, 
Quantitative evaluation of analytical methods for group fMRI data, 
Workshop On Neurobiology and Neuroinformatics (NBNI), 2011

Kim J, Lee JH, 
Functional Connectivity Analysis of mild Cognitive Impairment(MCI) via Volumetric Analysis or Voxel-based Morphometry Based Seed Region, 
International Symposium on Brain and Cognitive Engineering (BCE), 2011

Kim DY, Lee JH, 
Evaluation of GLM and Temporally-Concatenated Group ICA Methods on the Group-Level Analysis using Artificial fMRI Data, 
International Symposium on Brain and Cognitive Engineering (BCE), 2011

Kim YH, Lee JH, 
Iterative Dual-Regression Approach to Better Estimate the Resting-State Networks from Group fMRI Data, 
International Symposium on Brain and Cognitive Engineering (BCE), 2011

Lee HG, Kim YH, Lee JH, 
Region-Dependent Event-Related Potentials(ERPs) from Smoking Visual Stimuli, 
International Symposium on Brain and Cognitive Engineering (BCE), 2011

2010
Kim J, Kim YH, Lee JH, 
Volumetric Analysis of MRI Data for Early Diagnosis of Alzheimer Disease, 
International Symposium on Brain and Cognitive Engineering (BCE), 2010

Kim DY, Lee JH, 
Analysis of Default-Mode Networks via Artificially Generated fMRI Data, 
International Symposium on Brain and Cognitive Engineering (BCE), 2010

Kim YH, Lee JH, 
Inter-Subject Variability of Default-Mode Networks, 
International Symposium on Brain and Cognitive Engineering (BCE), 2010 

Lee JH, Kim DY, Kim J, Kim YH, Sa M, 
Region-specific characteristics of default-mode networks from fMRI data analysis, 
Society for Neuroscience (SfN), 2010

Lee JH, Marzelli M, Jolesz FA, Yoo SS, 
Mind reading: an automated classification of thought processes from imagery fMRI data, 
International Conference on Machine Learning and Cybernetics (ICMLC), Qingdao, China, 2010

Yoo SS, Bystritsky A, Lee JH, Zhang Y, Min BK, Fischer K, McDannold N, Jolesz FA, Pascual-Leone A, 
Localized Modulation of Brain Function using Pulsed Low-intensity Focused Ultrasound, 
Organization for Human Brain Mapping (OHBM), Barcelona, Spain, 2010

Kim DY, Lee JH, 
Reproducibility of Spectrally-Coherent Resting-State Networks from functional MRI Data, 
Organization for Human Brain Mapping (OHBM), Barcelona, Spain, 2010

Kim DY, Lee JH, 
Inter-Session Variability of Anterior and Posterior Default-Mode Networks from fMRI Data, 
Organization for Human Brain Mapping (OHBM), Barcelona, Spain, 2010

Lee JH, 
Posterior Part of the Default-Mode Networks is more Crucial than the Anterior Part? Evidences from the Resting-State fMRI Data Analysis, 
International Symposium on Brain Decoding, Korea University, Seoul, Korea, 2010
 
2009
Lee JH, Hashimoto R, Wible CG, Yoo SS. 
Nonnegative Matrix Factorization Toward the Analysis of Frequency-Specific Resting-State Network from functional MRI Data. 
Organization for Human Brain Mapping (OHBM), 2009. 

Lee JH, Kearse LA, Hughes R, Tang Y, Panych LP, Stein J, Jolesz FA, Black-Schaffer RM, Yoo SS. 
Neurofeedback real-time fMRI for the regulation of motor areas in chronic stroke patients. 
The International Society for Magnetic Resonance in Medicine (ISMRM), 2009

Yoo SS, Bystritsky, Lee JH, Zhang Y, Fischer K, Lee W, McDannold N, Jolesz FA. 
Image-guided modulation of regional brain function mediated by focused ultrasound. 
The International Society for Magnetic Resonance in Medicine (ISMRM), 2009

Lee JH, Yoo SS, Stanwell P, Gombos E. 
Dynamic contrast-enhanced magnetic resonance imaging for breast cancer detection and characterization toward adaptive real-time analysis. 
Symposium on Breast Cancer Research (SABCS), 2009.
 
2008
Yoo SS, Lee W, Lee V, Lee JH, 
Generation of artificial neural tissue by 3-dimensional direct freeform fabrication. 
In: Washington, DC. Society for Neuroscience (SfN), 2008. 

Lee JH, Marzelli M, Jolesz FA, Yoo SS. 
Independent Vector Analysis for Group fMRI Processing. 
In: Proceedings; Toronto, Canada. The International Society for Magnetic Resonance in Medicine (ISMRM), 2008. p. 3607. 

Lee JH, Ryu J, Jolesz FA, Cho ZH, Yoo SS. 
Brain-Computer-Interface using real-time fMRI: Thought-controlled robot arm. 
In: Proceedings; Toronto, Canada. The International Society for Magnetic Resonance in Medicine (ISMRM), 2008. p. 544.

2007
Lee JH, Lee TW, Jolesz FA, Yoo SS. 
Multivariate Analysis of fMRI Group Data using Independent Vector Analysis. Lecture Notes in Computer Science. 
International Conference on Independent Component Analysis and Signal Separation (ICA), 2007. 4666:633-640.

Yoo SS, Lee JH, Marzelli M, Jolesz FA, Panych LP. 
Learning Effects of Neurofeedback-fMRI on Neural Substrates Involved in Motor Imagery. 
In: Proceedings; Berlin, Germany. The International Society for Magnetic Resonance in Medicine (ISMRM), 2007. p. 2041.

Yoo SS, Lee JH, Edminster K, Jeong B. 
Development of robotic platform for three-dimensional neural tissue engineering using independent multi-model cell-scaffold printing. 
Society for Neuroscience (SfN), 2007.

Yoo SS, Marzelli M, Fischer K, Lee JH, Mulkern RV. 
Composite MR contrast for cell imaging using superparamagnetic iron oxide particles and gadolinium chelates. 
European Society for Molecular Imaging (ESMI). 2007.

Yoo SS, Mitsouras D, Fischer K, Lee JH, Mulkern RV, Rybicki FJ. 
Inner volume approach in cellular MRI: preliminary experience. 
European Society for Molecular Imaging (ESMI). 2007.

Lee JH, O’Leary HM, Lee SY, Jolesz FA, Yoo SS. 
Automated spatio-temporal classification of human minds for brain-computer-interface. 
Society for Neuroscience (SfN), 2006.

Lee JH, O’Leary HM, Lee SY, Jolesz FA, Yoo SS. 
Automated spatio-temporal classification of human minds for fMRI-based brain computer interface. 
International Brain Mapping & Intraoperative Surgical Planning Society (IBMISPS), 2006.

Yoo SS, Lee JH, O’Leary HM, Jolesz FA. 
Brain-Computer-Interface using functional MRI: Thought-controlled Keyboard and Mouse. 
International Symposium on Artificial Brain with Emotion and Learning (ISABEL), 2006.

Yoo SS, O’Leary HM, Park HJ, Lee JH, Park H, Panych LP, Jolesz FA. 
Automated Real-Time Tracing of Functional MRI Signals from Multiple Cortical Areas. 
In: Proceedings; Seattle, Washington. The International Society for Magnetic Resonance in Medicine (ISMRM), 2006. p. 2799.

Yoo SS, O’Leary HM, Lee JH, Chen NK, Panych LP, Park H, Jolesz FA. 
Reproducibility of Trial-Based Functional MRI on Motor Imagery. 
In: Proceedings; Seattle, Washington. The International Society for Magnetic Resonance in Medicine (ISMRM), 2006. p. 1130. 

Park HM, Lee JH, Oh SH, Lee SY. 
Blind deconvolution with sparse priors on the deconvolution filters. Lecture Notes in Computer Science. 
International Conference on Independent Component Analysis and Blind Source Separation (ICA), 2006. 3889:658-665. 

Lee JH, Oh SH, Lee SY. 
Blind dereverberation of single-channel speech signals using an ICA-based generative model. Lecture Notes in Computer Science, 
The International Conference on Neural Information Processing (ICONIP), 2004. 3316:1070-1075. 

Lee JH, Lee SY. 
Blind dereverberation of speech signals using independence transform matrix. 
In: Proceedings; Portland, Oregon, USA. International Joint Conference on Neural Networks (IJCNN), 2003. p. 1453-1457.

Jeon HB, Lee JH, Lee SY. 
On the Center-frequency Ordered Speech Feature Extraction Based on Independent Component Analysis. 
In: Proceedings; Shanghai, China. The International Conference on Neural Information Processing (ICONIP), 2001. p. 1199-1203. 

Lee JH, Jung HY, Lee TW, Lee SY. 
Speech coding and noise reduction using ICA-based speech features. 
In: Proceedings; Helsinki, Finland. International Conference on Independent Component Analysis and Blind Source Separation (ICA), 2000. p. 417-422.


Lee JH, Jung HY, Lee TW, Lee SY. 
Speech feature extraction using independent component analysis. 
In: Proceedings; Istanbul, Turkey. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2000. p. 1631-1634.