Jong-Hwan Lee

发表

Brain–machine interface via real-time fMRI: Preliminary study on thought-controlled robotic arm

F. Jolesz, S. Yoo, Jong-Hwan Lee, 2009, Neuroscience Letters.

Multi-layered culture of human skin fibroblasts and keratinocytes through three-dimensional freeform fabrication.

Karl R Edminster, S. Yoo, Jong-Hwan Lee, 2009, Biomaterials.

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.

On‐demand three‐dimensional freeform fabrication of multi‐layered hydrogel scaffold with fluidic channels

S. Yoo, Jong-Hwan Lee, J. Park, 2010, Biotechnology and bioengineering.

Can we predict real-time fMRI neurofeedback learning success from pre-training brain activity?

Kymberly D. Young, T. Hendler, R. Veit, 2020, bioRxiv.

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.

Integration of structural and functional magnetic resonance imaging improves mild cognitive impairment detection.

Jong-Hwan Lee, Junghoe Kim, 2013, Magnetic resonance imaging.

Hippocampus–precuneus functional connectivity as an early sign of Alzheimer's disease: A preliminary study using structural and functional magnetic resonance imaging data

Jong-Hwan Lee, Yong-Hwan Kim, Junghoe Kim, 2013, Brain Research.

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

Te-Won Lee, F. Jolesz, S. Yoo, 2008 .

Are posterior default-mode networks more robust than anterior default-mode networks? Evidence from resting-state fMRI data analysis

Jong-Hwan Lee, Dong-Youl Kim, 2011, Neuroscience Letters.

Brain hypoactivation, autonomic nervous system dysregulation, and gonadal hormones in depression: A preliminary study

S. Whitfield-Gabrieli, Jong-Hwan Lee, J. Goldstein, 2012, Neuroscience Letters.

Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity?

Kymberly D. Young, T. Hendler, R. Veit, 2020, bioRxiv.

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.

Personalized prediction of smartphone-based psychotherapeutic micro-intervention success using machine learning.

S. Yoo, Jong-Hwan Lee, G. Meinlschmidt, 2019, Journal of affective disorders.

Visual perceptual learning modulates decision network in the human brain: The evidence from psychophysics, modeling, and functional magnetic resonance imaging.

Jong-Hwan Lee, Jiaxiang Zhang, F. Fang, 2018, Journal of vision.

Determinants of Real-Time fMRI Neurofeedback Performance and Improvement – a Machine Learning Mega-Analysis

Simon H. Kohl, Kymberly D. Young, T. Hendler, 2020, bioRxiv.

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.

Does fMRI neurofeedback in the context of stress influence mood and arousal? A randomised controlled trial with parallel group design

J. Pruessner, S. Yoo, Jong-Hwan Lee, 2019, F1000Research.

Whole-genome Transcriptional Responses to Hypoxia in Respiration-proficient and Respiration-deficient Yeasts: Implication of the Mitochondrial Respiratory Chain in Oxygen-regulated Gene Expression

Jong-Hwan Lee, D. Woo, J. Byun, 2016 .

Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning

Soo-Young Lee, Jong-Hwan Lee, Dong-Youl Kim, 2020, Human brain mapping.

Desynchronization of the mu oscillatory activity during motor imagery: A preliminary EEG-fMRI study

Jong-Hwan Lee, Hyun-Chul Kim, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Transcranial focused ultrasound stimulation of human primary visual cortex

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

5th International Symposium on Focused Ultrasound

Matthew E. Downs, Gregory T. Clement, Chang Kyu Park, 2016, Journal of Therapeutic Ultrasound.

Hub of functional network changes from real-time fMRI neurofeedback on heavy smokers

Jong-Hwan Lee, Dong-Youl Kim, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Independent vector analysis (IVA): Multivariate approach for fMRI group study

Te-Won Lee, Ferenc A Jolesz, Seung-Schik Yoo, 2008, NeuroImage.

Gamma EEG Correlates of Haptic Preferences for a Dial Interface

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

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).

Three-dimensional bioprinting of rat embryonic neural cells

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

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.

Spectral dynamic causal modeling of mindfulness, mind-wandering, and resting-state in the triple network using fMRI

Jong-Hwan Lee, Hyun-Chul Kim, 2022, Neuroreport.

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.

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.

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.

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.

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).

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..

Focused ultrasound modulates region-specific brain activity

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

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

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

Brain order disorder 2nd group report of f-EEG

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

Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis

Nimrod Jakob Keynan, Simon H. Kohl, Kymberly D. Young, 2021, NeuroImage.

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.

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

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

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..

Does fMRI neurofeedback in the context of stress influence mood and arousal? A randomised controlled trial with parallel group design

J. Pruessner, S. Yoo, Jong-Hwan Lee, 2019, F1000Research.

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.

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.

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.

ERS differences between stroke patients and healthy controls after hand movement

Jong-Hwan Lee, Laehyun Kim, Suji Kim, 2016, 2016 4th International Winter Conference on Brain-Computer Interface (BCI).

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..

EEG response varies with lesion location in patients with chronic stroke

Y. Kim, Jong-Hwan Lee, Laehyun Kim, 2016, Journal of NeuroEngineering and Rehabilitation.

Mesocorticolimbic hyperactivity of deprived smokers and brain imaging

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

Cigarette craving modulation is more feasible than resistance modulation for heavy cigarette smokers: empirical evidence from functional MRI data

S. Yoo, Jong-Hwan Lee, G. Meinlschmidt, 2021, Neuroreport.

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.

Electronic Cigarette Vaping Did Not Enhance the Neural Process of Working Memory for Regular Cigarette Smokers

Jong-Hwan Lee, Dong-Youl Kim, Hyun-Chul Kim, 2022, Frontiers in Human Neuroscience.

Mixed‐effects multilevel analysis followed by canonical correlation analysis is an effective fMRI tool for the investigation of idiosyncrasies

Jong-Hwan Lee, Gang Chen, Hyun-Chul Kim, 2021, Human brain mapping.

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.

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..

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

Jong-Hwan Lee, Hyun-Chul Kim, Hanh Vu, 2020, NeuroImage.

Deep learning methods and applications in neuroimaging

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

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).

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.

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.

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).

Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis

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

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

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

Multi-layered culture of human skin fibroblasts and keratinocytes through three-dimensional freeform fabrication.

Karl R Edminster, S. Yoo, Jong-Hwan Lee, 2009, Biomaterials.

Transcranial focused ultrasound stimulation of human primary visual cortex

S. Yoo, Jong-Hwan Lee, Wonhye Lee, 2016, Scientific Reports.

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.

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

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

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

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

Neuronal Mechanism of Speech Hearing: An fMRI Study

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

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).

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

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

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.

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.

Personalized prediction of smartphone-based psychotherapeutic micro-intervention success using machine learning.

S. Yoo, Jong-Hwan Lee, G. Meinlschmidt, 2019, Journal of affective disorders.

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.

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

S. Yoo, Jong-Hwan Lee, G. Meinlschmidt, 2016, Front. Psychol..