International conference

Park TW, Kim HC, Lee MH, Discrete Dictionary-based Decomposition Layer for Structured Representation Learning, NeurIPS 2024, Vancouver Convention Center, Canada, 2024 [Top Tier Computer Science Conference Proceeding; Financial Aid Award] 

Yun MH, Jang HJ, Ahn ST, Kim HC, Object Detection in Surveillance Video using EEG with Domain Adaptation Approach, IEEE International Winter Conference on Brain-Computer Interface (BCI) 2024, Korea. [Oral Presentation]

Kim JS, Kim HC, Exploring Neural Responses to Six Naturalistic Emotional Videos: An fMRI study using CMU-MOSEI data, Organization for Human Brain Mapping (OHBM) 2024, Seoul, Korea.

Lim JH, Lee JH, Kim HC, Whole-brain fMRI Pattern Extractor: 3D Variational Autoencoder for Sensorimotor Classification, Organization for Human Brain Mapping (OHBM) 2024, Seoul, Korea.

Kim SA, Kim SW, Lim JH, Suh WJ, Kim HC, Neurocognitive Effects of Mobile Cognitive Bias Modification Games on Smokers, Organization for Human Brain Mapping (OHBM) 2024, Seoul, Korea.

Kim SW, Kim HC, Lim JH, Suh WJ, Kim SA, Different effects of mobile cognitive bias modification games on smokers with high versus moderate intentions to quit, International Conference on Emotion and Sensibility (ICES) 2023, Jeju, Korea. [Best Poster Award]

Jang HJ, Yun MH, Lee JH, Kim HC, Ahn ST, Individualized Classification of Target Detection in Brain-Computer Interface, Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2023, Sydney, Australia.

Yoo SS, Lee W, Kim HC, Weisholtz DS, Transcranial Focused Ultrasound Stimulation of Human Somatosensory Circuits, 2023 NASA HRP IWS, Galveston, TX , USA.

Yoo SS, Kim HC, Kim JH, Kim E, Kowarsi K, Reet JV, Yoon KH, Regional enhancement of glymphatic transport by pulsed transcranial FUS, International Society for Therapeutic Ultrasound (ISTU) 2022, Canada [Oral Presentation]

Lee JHyeon, Kim HC, Lee JH, Multimodal image and text processing of human brain using artificial neural networks and fMRI, Organization for Human Brain Mapping (OHBM) 2022, Glasgow, Scotland.

Lee JHyeon, Kim HC, Kim JS, Jo SM, Jung MY, Lee JH, Brain Information Processing in Different Modalities: from Activation to Connectivity, Organization for Human Brain Mapping (OHBM) 2021, Virtual.

Lee JHyeon, Choi MS, Kim JS, Kim HC, Jo SM, Lee JH, Understanding Human Reasoning from the Text of bAbI Dataset, Organization for Human Brain Mapping (OHBM) 2020, Canada.

Lee JHyeon, Lee CH, Kim HC, Kim JS, Jo SM, Jung MY, Lee JH, Investigation of Multimodality from Unimodal Classification Using Deep Neural Network: Image & Text, Organization for Human Brain Mapping (OHBM) 2020, Canada

Kim HC, Lee WH, Kunes J, Lee JE, Yoon KH, Weisholtz D, Stern E, Yoo SK, Wearable Modular Focused Ultrasound System for Space-Flight Environment, International Society for Therapeutic Ultrasound (ISTU) 2020, Gyeongju, Republic of Korea

Kim HC, Lee WH, Lee JE, Kunes J, Yoon KH, Foley L, Yoo SK, FUS-mediated Functional Modulation of Motor Circuitry in Awake Sheep, International Society for Therapeutic Ultrasound (ISTU) 2020, Gyeongju, Republic of Korea

Kim HC, Lee JHyeon, Kim JS, Jo SM, Lee JH, Image and text understanding of human brain as measured by fMRI using deep neural network, Organization for Human Brain Mapping (OHBM) 2019, Italy

Vu H, Kim HC, Lee JH, Deep canonical correlation analysis for simultaneous EEG-fMRI data: Evaluation from hand clenching, Organization for Human Brain Mapping (OHBM) 2019, Italy

Lee JHyeon, Kim HC, Lee JH, Dynamic Functional Connectivity Fingerprint from Deep Neural Network for Individual Identification, Organization for Human Brain Mapping (OHBM) 2019, Italy

Jo SM, Jin SS, Kim HC, Lee JH, Naturalistic viewing paradigm using eye-tracking based 360° movie clip, Organization for Human Brain Mapping (OHBM) 2019, Italy

Vu H, Kim HC, Lee JH, 3D convolutional neural network extracts shift/scale-invariant features to classify fMRI volumes, Organization for Human Brain Mapping (OHBM) 2019, Italy

*Vu H, Kim HC, Lee JH, 3D convolutional neural network for feature extraction and classification of fMRI volumes, Pattern Recognition in Neuroimaging (PRNI) 2018, Singapore. [Oral Presentation]

Vu H, Kim HC, Lee JH, 3D convolutional neural network for feature extraction and classification of sensorimotor fMRI data, Organization for Human Brain Mapping (OHBM) 2018, Singapore

Lustig N, Kim HC, Lee JH, Classification of mindfulness and mind-wandering states using functional connectivity patterns, Organization for Human Brain Mapping (OHBM) 2018, Singapore.

Lee JHyeon, Kim HC, Lee JH, Deep neural network based subject identification of dynamic functional connectivity in resting-state, Organization for Human Brain Mapping (OHBM) 2018, Singapore.

Jo SM, Heo DW, Kim HC, Lustig N, Lee JH, Nicotine craving: an fMRI study via MR-compatible e-cigarette equipment and machine learning, Organization for Human Brain Mapping (OHBM) 2018, Singapore.

Kim HC, Meinlschmidt G, Stalujanis E, Belardi A, Jo SM, Lee JHyeon, Heo DW, Kim DY, Tegethoff M, Yoo SS, Lee JH, Mediation analysis of triple networks may interpret mindfulness in real-time fMRI neurofeedback, Organization for Human Brain Mapping (OHBM) 2018, Singapore.

Kim HC, Tegethoff M, Meinlschmidt G, Stalujanis E, Belardi A, Jo SM, Lee JHyeon, Kim DY, Yoo SS, Lee JH, Mediation analysis between triple networks reflects functional connectivity changes from a mindfulness training in real-time fMRI neurofeedback setting, Real Time Functional Imaging and Neurofeedback (rtFIN) 2017/Nov, Nara, Japan.  [Travel Award &  Best Poster Award]

*Kim HC, Lee JH, Deep neural network predicts emotional responses using whole brain neuronal activations, Organization for Human Brain Mapping (OHBM) 2017, Vancouver, Canada. [Oral Presentation]

Heo DW, Jang Y, Kim HC, Lee JH, Neuronal circuitry from electronic cigarette use from psychophysiological interaction analysis, Organization for Human Brain Mapping (OHBM) 2017, Vancouver, Canada.

Jo SM, Heo DW, Kim HC, Lee JH, Evaluation of MR-compatible e-cigarette smoking equipment to use in an MRI environment, Organization for Human Brain Mapping (OHBM) 2017, Vancouver, Canada.

Kim HC, *Lee JH, Evaluation of weight sparsity regularization schemes of deep neuronal networks applied to functional neuroimaging data, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017, New Orleans, USA. [Oral Presentation]

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, Pattern Recognition in Neuroimaging (PRNI) 2016, Trento, Italy.

Kim HC, Lee JH, Deep learning to predict the emotional response using functional MRI data, Organization for Human Brain Mapping (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, Organization for Human Brain Mapping (OHBM) 2016, Geneva, Switzerland.

Kim HC, Lee JH, Investigation of ERD/ERS of motor imagery and EEG band-specific hemodynamic couplings via EEG­fMRI, Organization for Human Brain Mapping (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 (rtFIN) 2015, 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 (rtFIN) 2015, Florida, USA. [Oral Presentation]

*Kim HC, Lee JH, Desynchronization of the mu oscillatory activity during motor imagery: A preliminary EEG-fMRI study, IEEE International Winter Workshop on Brain-Computer Interface (BCI) 2015, Republic of Korea. [Oral Presentation]

Lee JH, Kim HC, Zhang Z, Lee SY, Neural bases of human strategic reasoning from functional MRI study, Organization for Human Brain Mapping (OHBM) 2014, Hamburg, Germany.

*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, Republic of Korea. [Oral Presentation]

Kim HC, Lee JH, Simultaneous EEG-fMRI analysis on smoking addiction: A pilot study, Workshop on Neurobiology and Neuroinformatics (NBNI), 2012.