LORETA imaging of P300 in schizophrenia with individual MRI and 128-channel EEG. - Ji Soo Pae; Jun Soo Kwon; Tak Youn; Hae-Jeong Park; Myung Sun Kim; Boreom Lee; Kwang Suk Park (NeuroImage, 2003)

Activity of left inferior frontal gyrus related to word repetition effects: LORETA imaging with 128-channel EEG and individual MRI. - Young Youn Kim; Boreom Lee; Yong-Wook Shin; Jun Soo Kwon; Myung-Sun Kim (NeuroImage, 2006)

White matter neuroplastic changes in long-term trained players of the game of "Baduk" (GO): A voxel-based diffusion-tensor imaging study. - Boreom Lee; Ji-Young Park; Wi Hoon Jung; Hee Sun Kim; Jungsu S. Oh; Chi-Hoon Choi; Joon Hwan Jang; Do-Hyung Kang; Jun Soo Kwon (NeuroImage, 2010)

Adaptive comb filtering for motion artifact reduction from PPG with a structure of adaptive lattice IIR notch filter. - Boreom Lee; Youngwook Kee; Jonghee Han; Won-Jin Yi (EMBC, 2011)

Detection of Abnormal Living Patterns for Elderly Living Alone Using Support Vector Data Description. - Jae Hyuk Shin; Boreom Lee; Kwang Suk Park (IEEE Trans. Inf. Technol. Biomed., 2011)

Classifying the speech response of the brain using Gaussian hidden markov model (HMM) with independent component analysis (ICA). - Jongin Kim; Suh-Kyung Lee; Boreom Lee (EMBC, 2013)

Eliminating cardiac electrical artifacts from cardiac autonomic nervous signals using a combination of empirical mode decomposition and independent component analysis. - Kwang-Jin Lee; Eue-Keun Choi; Seung Min Lee; Boreom Lee (EMBC, 2013)

EEG classification of word perception using common spatial pattern filter. - Woosu Choi; Jongin Kim; Boreom Lee (BCI, 2015)

Elimination of ECG Artifacts from a Single-Channel EEG Using Sparse Derivative Method. - Kwang-Jin Lee; Chanki Park; Boreom Lee (SMC, 2015)

A Real-Time Pinch-to-Zoom Motion Detection by Means of a Surface EMG-Based Human-Computer Interface. - Jongin Kim; Dongrae Cho; Kwang-Jin Lee; Boreom Lee (Sensors, 2015)

Non-contact robust heart rate estimation using HSV color model and matrix-based IIR filter in the face video imaging. - Dongrae Cho; Boreom Lee (EMBC, 2016)

Tracking driver's heart rate by continuous-wave Doppler radar. - Kwang-Jin Lee; Chanki Park; Boreom Lee (EMBC, 2016)

Classification of ADHD subgroup with recursive feature elimination for structural brain MRI. - Muhammad Naveed Iqbal Qureshi; Boreom Lee (EMBC, 2016)

Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG. - Kwang-Jin Lee; Boreom Lee (Sensors, 2016)

Compressed estimation of heart and respiratory rates from a photoplethysmogram. - Chanki Park; Boreom Lee (BioCAS, 2017)

Optimized automatic sleep stage classification using the normalized mutual information feature selection (NMIFS) method. - Dongrae Cho; Boreom Lee (EMBC, 2017)

Discrimination of multiple stress levels in virtual reality environments using heart rate variability. - Jinsil Ham; Dongrae Cho; Jooyoung Oh; Boreom Lee (EMBC, 2017)

Automated discrimination of dementia spectrum disorders using extreme learning machine and structural T1 MRI features. - Jongin Kim; Boreom Lee (EMBC, 2017)

Changes in heart rate variability of patients with delirium in intensive care unit. - Jooyoung Oh; Dongrae Cho; Jongin Kim; Jaeseok Heo; Jaesub Park; Se Hee Na; Cheung Soo Shin; Jae-Jin Kim; Jin Young Park; Boreom Lee (EMBC, 2017)

Motor imagery EEG classification with optimal subset of wavelet based common spatial pattern and kernel extreme learning machine. - Hyeong-jun Park; Jongin Kim; Beomjun Min; Boreom Lee (EMBC, 2017)

EEG classification for motor imagery BCI using phase-only features extracted by independent component analysis. - Muhammad Naveed Iqbal Qureshi; Dongrae Cho; Boreom Lee (EMBC, 2017)

Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks. - Joonyoung Song; Boreom Lee (EMBC, 2017)

ADHD subgroup discrimination with global connectivity features using hierarchical extreme learning machine: Resting-state FMRI study. - Muhammad Naveed Iqbal Qureshi; Hang Joon Jo; Boreom Lee (ISBI, 2017)

Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine. - Muhammad Naveed Iqbal Qureshi; Jooyoung Oh; Dongrae Cho; Hang Joon Jo; Boreom Lee (Frontiers Neuroinformatics, 2017)

Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine. - Dongrae Cho; Jinsil Ham; Jooyoung Oh; Jeanho Park; Sayup Kim; Nak-Kyu Lee; Boreom Lee (Sensors, 2017)

Blockwise PPG Enhancement Based on Time-Variant Zero-Phase Harmonic Notch Filtering. - Chanki Park; Hyunsoon Shin; Boreom Lee (Sensors, 2017)

Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning. - Jongryun Roh; Hyeong-jun Park; Kwang-Jin Lee; Joonho Hyeong; Sayup Kim; Boreom Lee (Sensors, 2018)

Multiclass Classification of Word Imagination Speech With Hybrid Connectivity Features. - Muhammad Naveed Iqbal Qureshi; Beomjun Min; Hyeong-jun Park; Dongrae Cho; Woosu Choi; Boreom Lee (IEEE Trans. Biomed. Eng., 2018)

Mild Cognitive Impairment Diagnosis Using Extreme Learning Machine Combined With Multivoxel Pattern Analysis on Multi-Biomarker Resting-State FMRI. - Thanh Duc Nguyen; Seungjun Ryu; Min Choi; Muhammad Naveed Iqbal Qureshi; Boreom Lee (EMBC, 2019)

Gesture Classification from Compressed EMG Based on Compressive Covariance Sensing. - Chanki Park; Hyun-Joon Yoo; Sangbaek Lee; Boreom Lee (EMBC, 2019)

Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously. - Chanki Park; Boreom Lee (IEEE Access, 2019)

3D-CNN based discrimination of schizophrenia using resting-state fMRI. - Muhammad Naveed Iqbal Qureshi; Jooyoung Oh; Boreom Lee (Artif. Intell. Medicine, 2019)

Rectal cancer: Toward fully automatic discrimination of T2 and T3 rectal cancers using deep convolutional neural network. - Jongin Kim; Ji Eun Oh; Joohyung Lee 003; Min Ju Kim; Bo Yun Hur; Dae Kyung Sohn; Boreom Lee (Int. J. Imaging Syst. Technol., 2019)

Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning. - Hyun-Joon Yoo; Hyeong-jun Park; Boreom Lee (Sensors, 2019)

Online compressive covariance sensing. - Chanki Park; Boreom Lee (Signal Process., 2019)

Decoding Brain Dynamics in Speech Perception Based on EEG Microstates Decomposed by Multivariate Gaussian Hidden Markov Model. - Thanh Duc Nguyen; Boreom Lee (IEEE Access, 2020)

3D-Deep Learning Based Automatic Diagnosis of Alzheimer's Disease with Joint MMSE Prediction Using Resting-State fMRI. - Thanh Duc Nguyen; Seungjun Ryu; Muhammad Naveed Iqbal Qureshi; Min Choi; Kun Ho Lee; Boreom Lee (Neuroinformatics, 2020)

Gene Transformer: Transformers for the Gene Expression-based Classification of Cancer Subtypes. - Anwar Khan; Boreom Lee (CoRR, 2021)

HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting. - Naveed Ilyas; Boreom Lee; Kiseon Kim (Sensors, 2021)

Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment With Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation. - Naveed Ilyas; Yoonguu Song; Aamir Younas Raja; Boreom Lee (IEEE Access, 2022)

End-to-End Deep Learning Architecture for Separating Maternal and Fetal ECGs Using W-Net. - Kwang Jin Lee; Boreom Lee (IEEE Access, 2022)

An ensemble deep learning for automatic prediction of papillary thyroid carcinoma using fine needle aspiration cytology. - Thanh Duc Nguyen; Yong-Moon Lee; Jae Hyun Park; Boreom Lee (Expert Syst. Appl., 2022)

CV-Attention UNet: Attention-based UNet for 3D Cerebrovascular Segmentation of Enhanced TOF-MRA Images. - Syed Farhan Abbas; Nguyen Thanh Duc; Yoonguu Song; Kyungwon Kim; Boreom Lee (CoRR, 2023)

Event-Driven Edge Deep Learning Decoder for Real-Time Gesture Classification and Neuro-Inspired Rehabilitation Device Control. - Mustapha Deji Dere; Ji-Hun Jo; Boreom Lee (IEEE Trans. Instrum. Meas., 2023)

DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes. - Anwar Khan; Boreom Lee (Expert Syst. Appl., 2023)

CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework. - Anwar Khan; Seunghyeon Han; Naveed Ilyas; Yong-Moon Lee; Boreom Lee (Comput. Methods Programs Biomed., 2023)

A Novel Approach to Surface EMG-Based Gesture Classification Using a Vision Transformer Integrated With Convolutive Blind Source Separation. - Mustapha Deji Dere; Boreom Lee (IEEE J. Biomed. Health Informatics, 2024)

Automatic sleep-stage classification based on residual unit and attention networks using directed transfer function of electroencephalogram signals. - Dongrae Cho; Boreom Lee (Biomed. Signal Process. Control., 2024)

D2C-Morph: Brain regional segmentation based on unsupervised registration network with similarity analysis. - Seunghyeon Han; Yoonguu Song; Boreom Lee (Comput. Medical Imaging Graph., 2025)