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2020 – today
- 2024
[j27]Dongrae Cho, Boreom Lee
:
Automatic sleep-stage classification based on residual unit and attention networks using directed transfer function of electroencephalogram signals. Biomed. Signal Process. Control. 88(Part B): 105679 (2024)- [j26]Mustapha Deji Dere, Boreom Lee:
A Novel Approach to Surface EMG-Based Gesture Classification Using a Vision Transformer Integrated With Convolutive Blind Source Separation. IEEE J. Biomed. Health Informatics 28(1): 181-192 (2024) - 2023
- [j25]Anwar Khan, Seunghyeon Han, Naveed Ilyas, Yong-Moon Lee, Boreom Lee:
CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework. Comput. Methods Programs Biomed. 240: 107718 (2023) - [j24]Anwar Khan, Boreom Lee:
DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes. Expert Syst. Appl. 226: 120047 (2023) - [j23]Mustapha Deji Dere, Ji-Hun Jo, Boreom Lee:
Event-Driven Edge Deep Learning Decoder for Real-Time Gesture Classification and Neuro-Inspired Rehabilitation Device Control. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [i2]Syed Farhan Abbas, Nguyen Thanh Duc, Yoonguu Song, Kyungwon Kim, Boreom Lee:
CV-Attention UNet: Attention-based UNet for 3D Cerebrovascular Segmentation of Enhanced TOF-MRA Images. CoRR abs/2311.10224 (2023) - 2022
- [j22]Kwang Jin Lee, Boreom Lee:
End-to-End Deep Learning Architecture for Separating Maternal and Fetal ECGs Using W-Net. IEEE Access 10: 39782-39788 (2022) - [j21]Naveed Ilyas, Yoonguu Song, Aamir Younas Raja, Boreom Lee:
Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment With Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation. IEEE Access 10: 122658-122669 (2022) - [j20]Thanh Duc Nguyen, Yong-Moon Lee, Jae Hyun Park, Boreom Lee:
An ensemble deep learning for automatic prediction of papillary thyroid carcinoma using fine needle aspiration cytology. Expert Syst. Appl. 188: 115927 (2022) - 2021
- [j19]Naveed Ilyas, Boreom Lee, Kiseon Kim:
HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting. Sensors 21(10): 3483 (2021) - [i1]Anwar Khan, Boreom Lee:
Gene Transformer: Transformers for the Gene Expression-based Classification of Cancer Subtypes. CoRR abs/2108.11833 (2021) - 2020
- [j18]Thanh Duc Nguyen, Boreom Lee:
Decoding Brain Dynamics in Speech Perception Based on EEG Microstates Decomposed by Multivariate Gaussian Hidden Markov Model. IEEE Access 8: 146770-146784 (2020) - [j17]Thanh Duc Nguyen, Seungjun Ryu, Muhammad Naveed Iqbal Qureshi, Min Choi, Kun Ho Lee, Boreom Lee:
3D-Deep Learning Based Automatic Diagnosis of Alzheimer's Disease with Joint MMSE Prediction Using Resting-State fMRI. Neuroinformatics 18(1): 71-86 (2020)
2010 – 2019
- 2019
- [j16]Chanki Park, Boreom Lee:
Energy-Efficient Photoplethysmogram Compression to Estimate Heart and Respiratory Rates Simultaneously. IEEE Access 7: 71072-71078 (2019) - [j15]Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Boreom Lee:
3D-CNN based discrimination of schizophrenia using resting-state fMRI. Artif. Intell. Medicine 98: 10-17 (2019) - [j14]Jongin Kim, Ji Eun Oh, Joohyung Lee, Min Ju Kim, Bo Yun Hur, Dae Kyung Sohn, Boreom Lee:
Rectal cancer: Toward fully automatic discrimination of T2 and T3 rectal cancers using deep convolutional neural network. Int. J. Imaging Syst. Technol. 29(3): 247-259 (2019) - [j13]Hyun-Joon Yoo, Hyeong-jun Park, Boreom Lee:
Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning. Sensors 19(10): 2370 (2019) - [j12]Chanki Park, Boreom Lee:
Online compressive covariance sensing. Signal Process. 162: 1-9 (2019) - [c19]Thanh Duc Nguyen, Seungjun Ryu, Min Choi, Muhammad Naveed Iqbal Qureshi, Boreom Lee:
Mild Cognitive Impairment Diagnosis Using Extreme Learning Machine Combined With Multivoxel Pattern Analysis on Multi-Biomarker Resting-State FMRI. EMBC 2019: 882-885 - [c18]Chanki Park, Hyun-Joon Yoo, Sangbaek Lee, Boreom Lee:
Gesture Classification from Compressed EMG Based on Compressive Covariance Sensing. EMBC 2019: 2663-2666 - 2018
- [j11]Jongryun Roh, Hyeong-jun Park, Kwang-Jin Lee, Joonho Hyeong, Sayup Kim, Boreom Lee:
Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning. Sensors 18(1): 208 (2018) - [j10]Muhammad Naveed Iqbal Qureshi, Beomjun Min, Hyeong-jun Park, Dongrae Cho, Woosu Choi, Boreom Lee:
Multiclass Classification of Word Imagination Speech With Hybrid Connectivity Features. IEEE Trans. Biomed. Eng. 65(10): 2168-2177 (2018) - 2017
- [j9]Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Dongrae Cho, Hang Joon Jo, Boreom Lee:
Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine. Frontiers Neuroinformatics 11: 59 (2017) - [j8]Chanki Park, Hyunsoon Shin, Boreom Lee:
Blockwise PPG Enhancement Based on Time-Variant Zero-Phase Harmonic Notch Filtering. Sensors 17(4): 860 (2017) - [j7]Dongrae Cho, Jinsil Ham, Jooyoung Oh, Jeanho Park, Sayup Kim, Nak-Kyu Lee, Boreom Lee:
Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine. Sensors 17(10): 2435 (2017) - [c17]Chanki Park, Boreom Lee:
Compressed estimation of heart and respiratory rates from a photoplethysmogram. BioCAS 2017: 1-4 - [c16]Joonyoung Song, Boreom Lee:
Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks. EMBC 2017: 681-684 - [c15]Jongin Kim, Boreom Lee:
Automated discrimination of dementia spectrum disorders using extreme learning machine and structural T1 MRI features. EMBC 2017: 1990-1993 - [c14]Muhammad Naveed Iqbal Qureshi, Dongrae Cho, Boreom Lee:
EEG classification for motor imagery BCI using phase-only features extracted by independent component analysis. EMBC 2017: 2097-2100 - [c13]Hyeong-jun Park, Jongin Kim, Beomjun Min, Boreom Lee:
Motor imagery EEG classification with optimal subset of wavelet based common spatial pattern and kernel extreme learning machine. EMBC 2017: 2863-2866 - [c12]Dongrae Cho, Boreom Lee:
Optimized automatic sleep stage classification using the normalized mutual information feature selection (NMIFS) method. EMBC 2017: 3094-3097 - [c11]Jooyoung Oh, Dongrae Cho, Jongin Kim, Jaeseok Heo, Jaesub Park, Se Hee Na, Cheung Soo Shin, Jae-Jin Kim, Jin Young Park, Boreom Lee:
Changes in heart rate variability of patients with delirium in intensive care unit. EMBC 2017: 3118-3121 - [c10]Jinsil Ham, Dongrae Cho, Jooyoung Oh, Boreom Lee:
Discrimination of multiple stress levels in virtual reality environments using heart rate variability. EMBC 2017: 3989-3992 - [c9]Muhammad Naveed Iqbal Qureshi, Hang Joon Jo, Boreom Lee:
ADHD subgroup discrimination with global connectivity features using hierarchical extreme learning machine: Resting-state FMRI study. ISBI 2017: 529-532 - 2016
- [j6]Kwang-Jin Lee, Boreom Lee:
Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG. Sensors 16(7): 1020 (2016) - [c8]Dongrae Cho, Boreom Lee:
Non-contact robust heart rate estimation using HSV color model and matrix-based IIR filter in the face video imaging. EMBC 2016: 3847-3850 - [c7]Kwang-Jin Lee, Chanki Park, Boreom Lee:
Tracking driver's heart rate by continuous-wave Doppler radar. EMBC 2016: 5417-5420 - [c6]Muhammad Naveed Iqbal Qureshi, Boreom Lee:
Classification of ADHD subgroup with recursive feature elimination for structural brain MRI. EMBC 2016: 5929-5932 - 2015
- [j5]Jongin Kim, Dongrae Cho, Kwang-Jin Lee, Boreom Lee:
A Real-Time Pinch-to-Zoom Motion Detection by Means of a Surface EMG-Based Human-Computer Interface. Sensors 15(1): 394-407 (2015) - [c5]Woosu Choi, Jongin Kim, Boreom Lee:
EEG classification of word perception using common spatial pattern filter. BCI 2015: 1-4 - [c4]Kwang-Jin Lee, Chanki Park, Boreom Lee:
Elimination of ECG Artifacts from a Single-Channel EEG Using Sparse Derivative Method. SMC 2015: 2384-2389 - 2013
- [c3]Jongin Kim, Suh-Kyung Lee, Boreom Lee:
Classifying the speech response of the brain using Gaussian hidden markov model (HMM) with independent component analysis (ICA). EMBC 2013: 4291-4294 - [c2]Kwang-Jin Lee, Eue-Keun Choi, Seung Min Lee, Boreom Lee:
Eliminating cardiac electrical artifacts from cardiac autonomic nervous signals using a combination of empirical mode decomposition and independent component analysis. EMBC 2013: 5841-5844 - 2011
- [j4]Jae Hyuk Shin, Boreom Lee, Kwang Suk Park:
Detection of Abnormal Living Patterns for Elderly Living Alone Using Support Vector Data Description. IEEE Trans. Inf. Technol. Biomed. 15(3): 438-448 (2011) - [c1]Boreom Lee, Youngwook Kee, Jonghee Han, Won-Jin Yi:
Adaptive comb filtering for motion artifact reduction from PPG with a structure of adaptive lattice IIR notch filter. EMBC 2011: 7937-7940 - 2010
- [j3]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:
White matter neuroplastic changes in long-term trained players of the game of "Baduk" (GO): A voxel-based diffusion-tensor imaging study. NeuroImage 52(1): 9-19 (2010)
2000 – 2009
- 2006
- [j2]Young Youn Kim, Boreom Lee, Yong-Wook Shin, Jun Soo Kwon, Myung-Sun Kim:
Activity of left inferior frontal gyrus related to word repetition effects: LORETA imaging with 128-channel EEG and individual MRI. NeuroImage 29(3): 712-720 (2006) - 2003
- [j1]Ji Soo Pae, Jun Soo Kwon, Tak Youn, Hae-Jeong Park, Myung Sun Kim, Boreom Lee, Kwang Suk Park:
LORETA imaging of P300 in schizophrenia with individual MRI and 128-channel EEG. NeuroImage 20(3): 1552-1560 (2003)
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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