Jong-Hwan Lee at Korea University - Research Interests, Publications & Academic Profile

Jong-Hwan Lee

Assistant, Associate, and Full Professor

Korea University

South Korea

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Research Interests

Cognitive Neuroscience

100%

Computational Neuroscience

80%

Fmri

80%

Neuroscience

80%

Affective Neuroscience

50%

Neurocognition

40%

Neuroinformatics

30%

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Articles15

Discovering individual fingerprints in resting‐state functional connectivity using deep neural networks

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Year:

2024

Autoencoder and restricted Boltzmann machine for transfer learning in functional magnetic resonance imaging task classification

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Year:

2023

Reliability of self-reported dispositional mindfulness scales and their association with working memory performance and functional connectivity

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Year:

2023

Neural representations of the perception of handwritten digits and visual objects from a convolutional neural network compared to humans

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Year:

2023

General psychopathology factor (p-factor) prediction using resting-state functional connectivity and a scanner-generalization neural network

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Year:

2023

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

Systematic evaluation of recursive approach of EEG-segment-based PCA for removal of helium-pump artefact from MRI

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Year:

2022

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

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Year:

2021

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

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Year:

2020

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

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Year:

2020

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

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Year:

2020

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

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Year:

2020

Deep learning methods and applications in neuroimaging

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Year:

2020

Collaborators3

Marina Papoutsi

University College London

UNITED KINGDOM

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Hyun-Chul Kim

Assistant Professor

Kyungpook National University

SOUTH KOREA

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Nan-kuei Chen

Associate Professor

University of Arizona

UNITED STATES

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