Jong-Hwan Lee

发表

Evaluation of weight sparsity regularizion schemes of deep neural networks applied to functional neuroimaging data

Hyun-Chul Kim, Jong-Hwan Lee, Jong-Hwan Lee, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigation of smoking related features in spatio-spectral domain on resting-state fMRI data using nonnegative matrix factorization

Jong-Hwan Lee, Seong-Whan Lee, Xiaoyu Ding, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Group inference of default‐mode networks from functional magnetic resonance imaging data: comparison of random‐ and mixed‐effects group statistics

Jong-Hwan Lee, Yong-Hwan Kim, Jong-Hwan Lee, 2012, Int. J. Imaging Syst. Technol..

A Model of Stability

Jong-Hwan Lee, Jinho Kim, Jinho Kim, 2011, IEEE Power and Energy Magazine.

A Preliminary Study on Neural Basis of Collaboration as Mediated by the Level of Reasoning

Jong-Hwan Lee, Jun Zhang, Soo-Young Lee, 2013, ICONIP.

The Inclusion of Functional Connectivity Information into fMRI-based Neurofeedback Improves Its Efficacy in the Reduction of Cigarette Cravings

Jong-Hwan Lee, Seung-Schik Yoo, Dong-Youl Kim, 2015, Journal of Cognitive Neuroscience.

Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model

Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee, 2004, ICONIP.

A constrained alternating least squares nonnegative matrix factorization algorithm enhances task-related neuronal activity detection from single subject's fMRI data

Jong-Hwan Lee, Seong-Whan Lee, Xiaoyu Ding, 2011, 2011 International Conference on Machine Learning and Cybernetics.

Method for Obtaining Three- and Four-Element Array Spacing for Interferometer Direction-Finding System

Jong-Hwan Lee, Jong-Myung Woo, Jung-Hoon Lee, 2016, IEEE Antennas and Wireless Propagation Letters.

A naturalistic viewing paradigm using 360° panoramic video clips and real-time field-of-view changes with eye-gaze tracking

Jong-Hwan Lee, Hyun-Chul Kim, Sangsoo Jin, 2020, NeuroImage.

Interactive Fuzzy Linear Programming with Two-Phase Approach

Jong-Hwan Lee, Jong-Hwan Lee, 2006, Int. J. Fuzzy Log. Intell. Syst..

Speech enhancement with MAP estimation and ICA-based speech features

Jong-Hwan Lee, Te-Won Lee, Soo-Young Lee, 2000 .

Focused ultrasound modulates region-specific brain activity

Jong-Hwan Lee, Ferenc A. Jolesz, Nathan McDannold, 2011, NeuroImage.

Pseudo-real fMRI data generation and its utility toward quantitative evaluation of analytical methods

Jong-Hwan Lee, Dong-Youl Kim, Jong-Hwan Lee, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Deep learning methods and applications in neuroimaging

Jong-Hwan Lee, Vince Calhoun, Jing Sui, 2020, Journal of Neuroscience Methods.

Are there brain regions related to speech perception? Evidence from a functional MRI study

Jong-Hwan Lee, Dong-Youl Kim, HoJung Kang, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

On the Efficient Speech Feature Extraction Based on Independent Component Analysis

Ho-Young Jung, Jong-Hwan Lee, Te-Won Lee, 2002, Neural Processing Letters.

A CNRP Server/Client System

Jong-Hwan Lee, Kyongsok Kim, Jung-Hwa Lee, 2002 .

Functional Connectivity Analysis with Voxel-Based Morphometry for Diagnosis of Mild Cognitive Impairment

Jong-Hwan Lee, JungHoe Kim, 2011, ICONIP.

Effects of spatial smoothing and physiological noise removal on brain activity with cigarette craving

Jong-Hwan Lee, Minkyung Oh, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Binaural semi-blind dereverberation of noisy convoluted speech signals

Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee, 2008, Neurocomputing.

Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data

Jong-Hwan Lee, Yong-Hwan Kim, JungHoe Kim, 2012, NeuroImage.

혼합현실 기반 공정 배치 계획을 위한 안전표지판과 레거시 시뮬레이션 데이터의 이용 = Mixed reality-based virtual layout planning using safety sign and legacy simulation data

Jong-Hwan Lee, 이종환, 2009 .

Automated classification of fMRI data employing trial-based imagery tasks

Jong-Hwan Lee, Ferenc A. Jolesz, Seung-Schik Yoo, 2009, Medical Image Anal..

3D convolutional neural network for feature extraction and classification of fMRI volumes

Hyun-Chul Kim, Jong-Hwan Lee, Hanh Vu, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Modulated Neuronal Activity and Connectivity of Smoking Resist Using Real-Time fMRI Neurofeedback

Jong-Hwan Lee, Dong-Youl Kim, Jong-Hwan Lee, 2013, ICONIP.

1축 운동의자를 이용한 가상현실 게임 시뮬레이터에서 그래픽과 운동의 통합 = Tight integration of graphics and motion in a VR game simulator with a 1-DoF motion-chair

Jong-Hwan Lee, 이종환, 2001 .

Brain order disorder 2nd group report of f-EEG

Jong-Hwan Lee, Takeshi Yamakawa, Liyi Dai, 2014, Sensing Technologies + Applications.

Effects of non-neuronal components for functional connectivity analysis from resting-state functional MRI toward automated diagnosis of schizophrenia

Jong-Hwan Lee, Jung Hoe Kim, 2014, Medical Imaging.

Blind Deconvolution with Sparse Priors on the Deconvolution Filters

Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee, 2006, ICA.

A modified path-following algorithm using a known algebraic path

Jong-Hwan Lee, Kyun-Kyung Lee, Chul-Mok Lee, 1999, IEEE Trans. Signal Process..

Modeling Auditory Pathway for Intelligent Information Acquisition

Jong-Hwan Lee, Soo-Young Lee, Hyung-Min Park, 2004, Int. J. Inf. Acquis..

Unsupervised learning toward brain imaging data analysis: cigarette craving and resistance related neuronal activations from functional magnetic resonance imaging data analysis

Jong-Hwan Lee, Dong Youl Kim, Jong-Hwan Lee, 2014, Sensing Technologies + Applications.

Independent vector analysis (IVA) for group fMRI processing of subcortical area

Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, 2008, Int. J. Imaging Syst. Technol..

Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis

Jong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, 2007, ICA.

A Novel Chaotic Time Hopping TH-NRDCSK System for Anti-jamming Communications

Jong-Hwan Lee, Jungmin Kim, Kiseon Kim, 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

Evaluation of weight sparsity control during autoencoder training of resting-state fMRI using non-zero ratio and hoyer's sparseness

Hyun-Chul Kim, Jong-Hwan Lee, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Reproducibility and variability of default-mode networks from functional MRI: Comparison between random- and mixed-effect group statistics

Jong-Hwan Lee, Yong-Hwan Kim, Jong-Hwan Lee, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia

Vince D. Calhoun, Jong-Hwan Lee, Eunsoo Shim, 2016, NeuroImage.

Development of design assessment instruments and discussion of freshmen and senior design assessment results

Jong-Hwan Lee, Jeffrey E. Froyd, Rita Caso, 2002, 32nd Annual Frontiers in Education.

Functional network connectivity to enhance speech perception performance: A preliminary fMRI study

Jong-Hwan Lee, Hojung Kang, Jong-Hwan Lee, 2014, 2014 International Winter Workshop on Brain-Computer Interface (BCI).

Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging

Hyun-Chul Kim, Jong-Hwan Lee, Peter A. Bandettini, 2019, NeuroImage.

Recursive approach of EEG-segment-based principal component analysis substantially reduces cryogenic pump artifacts in simultaneous EEG–fMRI data

Jong-Hwan Lee, Seung-Schik Yoo, Hyun-Chul Kim, 2015, NeuroImage.

fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations

Minyoung Jung, Jong-Hwan Lee, Hyun-Chul Kim, 2020, NeuroImage.

Mind reading: An automated classification of thought processes from imagery fMRI data

Jong-Hwan Lee, Ferenc A. Jolesz, Seung-Schik Yoo, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedback

Jong-Hwan Lee, Seung-Schik Yoo, Dong-Youl Kim, 2019, NeuroImage.

Gamma EEG Correlates of Haptic Preferences for a Dial Interface

Jong-Hwan Lee, Laehyun Kim, Da-Hye Kim, 2018, IEEE Access.

Speech feature extraction using independent component analysis

Ho-Young Jung, Jong-Hwan Lee, Te-Won Lee, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Neurofeedback fMRI‐mediated learning and consolidation of regional brain activation during motor imagery

Jong-Hwan Lee, Ferenc A. Jolesz, Lawrence P. Panych, 2008, Int. J. Imaging Syst. Technol..

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks

Vince D. Calhoun, Sergey M. Plis, Jong-Hwan Lee, 2017, NeuroImage.

Neuronal Mechanism of Speech Hearing: An fMRI Study

Jong-Hwan Lee, HoJung Kang, Jong-Hwan Lee, 2013, ICONIP.

Automated Classification of Discrete Human Thoughts Using Functional Magnetic Resonance Imaging (fMRI): Comparison between Voxel-Based and Atlas-Based Feature Selection Methods

Jong-Hwan Lee, JungHoe Kim, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Integration of Structural and Functional MRI Features Improves Mild Cognitive Impairment (MCI) Detection

Jong-Hwan Lee, Yong-Hwan Kim, JungHoe Kim, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Test–retest reliability of spatial patterns from resting-state functional MRI using the restricted Boltzmann machine and hierarchically organized spatial patterns from the deep belief network

Jong-Hwan Lee, Hojin Jang, Hyun-Chul Kim, 2020, Journal of Neuroscience Methods.

Random Segmentation Based Principal Component Analysis to Remove Residual MR Gradient Artifact in the Simultaneous EEG/fMRI: A Preliminary Study

Hyun-Chul Kim, Jong-Hwan Lee, Jong-Hwan Lee, 2013, ICONIP.

Practical Consideration Factors to Design Array Configuration of Direction Finding System for Airborne Signal Intelligence

Kichul Kim, Jong-Hwan Lee, Jeungmin Joo, 2018, Secur. Commun. Networks.

Investigation of spectrally coherent resting‐state networks using non‐negative matrix factorization for functional MRI data

Cynthia G. Wible, Jong-Hwan Lee, Seung-Schik Yoo, 2011, Int. J. Imaging Syst. Technol..

Detecting Active Brain Regions by a Constrained Alternating Least Squares Nonnegative Matrix Factorization Algorithm from Single Subject’s fMRI Data

Jong-Hwan Lee, Seong-Whan Lee, Xiaoyu Ding, 2011 .

Acoustic Simulation for Transcranial Focused Ultrasound Using GAN-Based Synthetic CT

Jong-Hwan Lee, Heekyung Koh, Tae Young Park, 2022, IEEE Journal of Biomedical and Health Informatics.

Three-dimensional bioprinting of rat embryonic neural cells

Jong-Hwan Lee, Wonhye Lee, Seung-Schik Yoo, 2009, Neuroreport.

EEG response varies with lesion location in patients with chronic stroke

Jong-Hwan Lee, Laehyun Kim, Gyu Hyun Kwon, 2016, Journal of NeuroEngineering and Rehabilitation.

Transcranial focused ultrasound stimulation of human primary visual cortex

Jong-Hwan Lee, In-Uk Song, Wonhye Lee, 2016, Scientific Reports.

Application of Independent Component Analysis for the Data Mining of Simultaneous Eeg–fMRI: Preliminary Experience on Sleep Onset

Jong-Hwan Lee, Ferenc A Jolesz, Seung-Schik Yoo, 2009, The International journal of neuroscience.

Mesocorticolimbic hyperactivity of deprived smokers and brain imaging

Jong-Hwan Lee, Junghoe Kim, Jong-Hwan Lee, 2012, Neuroreport.

Real-time fMRI-based neurofeedback reinforces causality of attention networks

Jong-Hwan Lee, Seung-Schik Yoo, Junghoe Kim, 2012, Neuroscience Research.

Performance evaluation of nonnegative matrix factorization algorithms to estimate task-related neuronal activities from fMRI data.

Seong-Whan Lee, Jong-Hwan Lee, Xiaoyu Ding, 2013, Magnetic resonance imaging.

Atlas‐based multichannel monitoring of functional MRI signals in real‐time: Automated approach

Jong-Hwan Lee, Seung-Schik Yoo, Heather M. O'Leary, 2008, Human brain mapping.

Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagery

Jong-Hwan Lee, Lawrence P. Panych, Seung-Schik Yoo, 2008 .

Functional magnetic resonance imaging-mediated learning of increased activity in auditory areas

Jong-Hwan Lee, Seung-Schik Yoo, Seh-Eun Choo, 2007, Neuroreport.

REPRODUCIBILITY OF TRIAL-BASED FUNCTIONAL MRI ON MOTOR IMAGERY

Jong-Hwan Lee, Nan-Kuei Chen, Seung-Schik Yoo, 2007, The International journal of neuroscience.

Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting

Jong-Hwan Lee, Seung-Schik Yoo, Marion Tegethoff, 2016, Front. Psychol..