Publications

International Journal Articles

Preprint

[2024-03]  Yang Y, Jo HJ, Duan Y,  Zhang Q, Zhou J, Lee WH,  Xu R, Xiong H, "MAD: Multi-alignment MEG-to-text decoding",  arXiv 

[2024-02]  Yang Y, Duan Y,  Zhang Q, Jo HJ, Zhou J, Lee WH,  Xu R, Xiong H, "NeuSpeech: Decode neural signal as speech",  arXiv 

[2024-01]  Jo HJ, Yang Y, Han J, Duan Y, Xiong H, Lee WH, "Are EEG-to-text models working?",  arXiv

2025

[2025-53]  Hye Jeong Jo, Yiqian Yang, Juhyeok Han, Yiqun Duan, Hui Xiong, Won Hee Lee, "Evaluating EEG-to-text models through noise-based performance analysis",  Scientific Reports, 2025 

[2025-52]  Tae Seong Kim, Gang Wang, Won Hee Lee, "BN-BrainTF: Brain Network Community-Aware Global-Local Transformer for EEG-based Emotion Recognition", IEEE Access. doi: 10.1109/ACCESS.2025.3634141

[2025-51]  Hye Jeong Jo, Min Jae, Lee, Won Hee Lee, "Graph-theoretical analysis of EEG-based functional connectivity during emotional experience in virtual reality for emotion recognition",  Scientific Reports, 2025 Nov 14;15:39965. doi: 10.1038/s41598-025-23573-z

[2025-50]  Hye Won Park, Won Hee Lee, "Morphometric Similarity Network-Based Graph Convolutional Networks for Schizophrenia Classification", Scientific Reports, 2025 Oct 16;15(1):36191. doi: 10.1038/s41598-025-19894-8

[2025-49]  Guangming Wang, Yi Tao, Ning Wu, Rihui Li, Won Hee Lee, Zehong Cao, Xiangguo Yan, Badong Chen, Gang Wang, "The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network", IEEE Transactions on Affective Computing, 2025

[2025-48] , Junhyeok Lee, Seo Yeong Kim, Hye Won Park, Juhyuk Han, Sung Woo Joo,  Junsun Lee, Won Hee Lee*  "A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms", Frontiers in Psychiatry, 2025; Sep 04; 16:1600479 

[2025-47]  Sung Woo Joo†, Junhyeok Lee†, Juhyuk Han, Minjae Kim, Yeonwoo Kim, Howook Lee, Young Tak Jo, Jaewook Shin, Jungsun Lee*, Won Hee Lee* "Disparities in accelerated brain aging in recent-onset and chronic schizophrenia", Psychological Medicine, 2025; Feb 24

[2025-46]  SungHwan Moon, Junhyeok Lee, Won Hee Lee, "Predicting brain age with global-local attention network from multimodal neuroimaging data: Accuracy, generalizability, behavioral associations", Computers in Biology and Medicine, 2025; Jan:184:109411

2024

[2024-45]  Jiameng Bao, Guangming Wang, Tianyu Wang, Ning Wu, Shimin Hu, Won Hee Lee, Sio-Long Lo, Xiangguo Yan, Yang Zheng, and Gang Wang, "A Feature Fusion Model Based on Temporal Convolutional Network for Automatic Sleep Staging Using Single-channel EEG", IEEE Journal of Biomedical and Health Informatics 2024 

[2024-44]  Joo SW, Kim SK, Lee WH, Kim SH, Lee J, "Association of clozapine with structural and resting-state functional abnormalities of the hippocampus in chronic schizophrenia", Frontiers in Psychiatry 2024; Oct 4:15:1464066 

[2024-43]  Guangming Wang, Xiyuan Lei, Wen Li, Won Hee Lee, Lianchi Huang, Jialin Zhu, Shanshan Jia, Dong Wang, Yang Zheng, Hua Zhang, Badong Chen, Gang Wang, "Channel Selection-based Temporal Convolutional Network for Patient-specific Epileptic Seizure Detection", IEEE Transactions on Cognitive and Developmental Systems  2024; July 25

[2024-42]  Zhian Liu, Lichengxi Si, Shaoxian Shi, Jing Li, Jing Zhu, Won Hee Lee, Sio-Long Lo, Xiangguo Yan, Badong Chen, Feng Fu, Yang Zheng, Gang Wang, "Classification of three anesthesia stages based on near-infrared spectroscopy signals", IEEE Journal of Biomedical and Health Informatics  2024; June 04

[2024-41]  Joo SW, Jo YT, Kim Y, Lee WH, Chung Y-C, Lee J, "Structural variability of the cerebral cortex in schizophrenia and its association with clinical symptoms", Psychological Medicine 2024, Jan;54(2), 399-408

2023

[2023-40]  Wang G, Wu N, Tao Y, Lee WH, Cao Z, Yan X, Wang G, "The diagnosis of major depressive disorder through wearable fNIRS by using wavelet transform and parallel-CNN feature fusion", IEEE Transactions on Instrumentation and Measurement 2023, 72, 4011311

[2023-39]  Jaramillo IE, Chola C, Jeong JG, Oh JH, Jung H, Lee JH, Lee WH, Kim TS, "Human activity prediction based on forecasted IMU activity signals by sequence-to-sequence deep neural networks", Sensors 2023, 23(14), 6491

[2023-38]  Liu Z, Si L, Li J, Zhu J, Lee WH, Chen B, Yan X, Wang Q, Wang G, "Monitoring the depth of anesthesia based on phase-amplitude coupling of near-infrared spectroscopy signals", IEEE Transactions on Neural Systems and Rehabilitation Engineering 2023; 31: 2849-2857    

[2023-37]  Lee WH, "The choice of machine learning algorithms impacts the association between brain-predicted age difference and cognitive function", Mathematics 2023 11(5), 1229

[2023-36]  Chung H, Ko H, Lee H, Yon DK, Lee WH, Kim TS, Kim KY, Lee J, "Development and valuation of a deep learning model to diagnose COVID-19 using time-series heart rate values before the onset of symptoms", Journal of Medical Virology 2023 95(2) 

[2023-35]  Lopez PR, Oh JH, Jeong JG, Jung H, Lee JH, Jaramillo IE, Chola C, Lee WH, Kim TS, "Dexterous object manipulation with an anthropomorphic robot hand via natural hand pose transformer and deep reinforcement learning", Applied Sciences 2023 13(1), 379 

2022

[2022-34]  Jaramillo IE, Jeong JG, Lopez PR, Lee CH, Kang DY, Ha TJ, Oh JH, Jung H, Lee JH, Lee WH, Kim TS, "Real-time human activity recognition with IMU and encoder sensors in wearable exoskeleton robot via deep learning networks", Sensors 2022 22(24), 9690 

[2022-33]  Han J, Kim SY, Lee J, Lee WH, "Brain age prediction: A comparison between machine learning models using brain morphometric data", Sensors 2022 22(20), 8077 

[2022-32]  Kim S, Kim TS, Lee WH, "Accelerating 3D convolutional neural network with channel bottleneck module for EEG-based emotion recognition", Sensors 2022 22(18), 6813 

2021

[2021-31]  Lee S, Smith PF, Lee WH, McKeown MJ, "Frequency-specific effects of galvanic vestibular stimulation on response-time performance in Parkinson's disease", Frontiers in Neurology 2021 Nov 2;12:758122. doi: 10.3389/fneur.2021.758122  

[2021-30]  Bae YJ, Shim M, Lee WH, "Schizophrenia detection using machine learning approach from social media content",  Sensors 2021 Sep; 21(17):5924 doi:10.3390/s21175924

[2021-29]  Janiri D, Moser DA, Doucet GE, Luber MJ, Rasgon A, Lee WH, Murrough JW, Sani G, Eickhoff SB, Frangou S, "Shared neural phenotypes for mood and anxiety disorders:  A meta-analysis of 226 task-related functional imaging studies",  Focus (Am Psychiatr Publ) 2021 Jun;19(2):256-263. doi:10.1176/appi.focus.19206.

[2021-28]  Lee WH, Antoniades M, Schnack HG, Jahn RS, Frangou S, "Brain age prediction in schizophrenia: Does the choice of machine learning algorithm matter?", Psychiatry Res Neuroimaging. 2021 Apr 30;310:111270. doi: 10.1016/j.pscychresns.2021.111270.

[2021-27]  Dima D, Modabbernia A, Lee WH, 198 others, "Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years", Human Brain Mapping 2021 43, 452-469.

[2021-26]  Frangou S, Modabbernia A, Lee WH, 198 others, "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years", Human Brain Mapping 2021 43, 431-451.

2020

[2020-25]  Lee WH, Rodrigue A, Glahn D, Bassett DS, Frangou S, "Heritability and cognitive relevance of structural brain controllability",   Cerebral Cortex  2020 May 14;30(5):3044-3054. doi: 10.1093/cercor/bhz293.  *Featured on Cover (Cover Figure)

2019

[2019-24]  Doucet GE, Lee WH, Frangou S, "Evaluation of the spatial variability in the major resting-state networks across human brain functional atlases", Human Brain Mapping  2019 Jul 19. doi: 10.1002/hbm.24722.   *Featured on Cover (Cover Figure)

[2019-23]  Janiri D, Moser DA, Doucet GE, Luber MJ, Rasgon A, Lee WH, Murrough JW, Sani G, Eickhoff SB, Frangou S, "Shared neural phenotypes for mood and anxiety disorders:  A meta-analysis of 226 task-related functional imaging studies", JAMA Psychiatry  2019  doi: 10.1001/jamapsychiatry.2019.3351.

[2019-22]  Hoch MM, Doucet GE, Moser DA, Lee WH, Collins KA, Huryk KM, DeWilde KE, Fleysher L, Iosifescu DV,  Murrough JW, Charney DS, Frangou S, Iacoviello BM, "Initial evidence for brain plasticity following a digital therapeutic intervention for depression",  Chronic Stress  2019 Sep. 18.

[2019-21]  Sprooten E, O’Halloran R, Dinse J, Lee WH, Moser, DA, Doucet GE, Goodman M, Krinsky H, Paulino A, Rasgon A, Leibu E, Balchandani P, Inglese M, Frangou S, "Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging",  NeuroImage 2019 Jan 15;185:27-34  doi: 10.1016/j.neuroimage. 

[2019-20]  Lee WH, Moser DA, Ing A, Doucet GE, Frangou S, "Behavioral and health correlates of resting-state metastability in the Human Connectome Project",   Brain Topography  2019 Jan;32(1):80-86 doi: 10.1007/s10548-018-0672-5.  

2018

[2018-19]  Lee WH, Doucet GE, Leibu E, and Frangou S, "Resting-state network connectivity and metastability predict clinical symptoms in schizophrenia",   Schizophrenia Research  2018 Nov 201:208-216 doi.org/10.1016/j.schres.2018.04.029.  

[2020-18]  Kim JW, Naidich TP, Joseph J, Nair D, Glasser MF, O’Halloran R, Doucet  GE, Lee WH, Krinsky H, Paulino A, Glahn DC,  Anticevic A, Frangou S, and Xu J, "Reproducibility of myelin content-based human habenula segmentation at 3 Tesla ", Human Brain Mapping  2018 March 16 doi:10.1002/hbm.24060.   

[2018-17]  Lee WH, Kennedy N, Bikson M, and Frangou S, "A computational assessment of target engagement in the treatment of auditory hallucinations with transcranial direct current stimulation",  Frontiers in Psychiatry, Section Neuroimaging and Stimulation  2018; Feb 22  doi.org/10.3389/fpsyt.2018.00048.

[2018-16]  Moser DA, Doucet GE, Lee WH, Rasgon A, Krinsky H, Leibu E, Ing A, Schumann G, Rasgon N, Frangou S, "Multivariate associations between behavioral, clinical and multimodal imaging phenotypes in psychosis", JAMA Psychiatry  2018 March 7 doi: 10.1001/jamapsychiatry.2017.4741. 

[2018-15]  Kennedy N, Lee WH, and Frangou S, "Efficacy of non-invasive brain stimulation on the symptom dimensions of schizophrenia: a meta-analysis of randomized controlled trials stimulation for the treatment of schizophrenia",  European Psychiatry  2018;49:69-77.

[2018-14]  Andreassen O, Hibar D, Lee WH, 119 others, Thompson P, "Cortical abnormalities in bipolar disorder: An MRI analysis of 6,503 individuals from the ENIGMA-Bipolar Disorder Working Group", Molecular Psychiatry, 2018 Apr doi: 10.1038/mp.2017.73.

2017

[2017-13]  Lee WH and Frangou S, "Linking functional connectivity and dynamic properties of resting-state networks",  Scientific Reports,  2017;7(1):16610  doi: 10.1038/s41598-017-16789-1. 

[2017-12]  Rasgon A, Lee WH, Leibu E, Laird A, Glahn D, Goodman W, Frangou S, "Neural correlates of affective and non-affective cognition in obsessive compulsive disorder",   European Psychiatry, 2017;46:25-32  doi: 10.1016/j.eurpsy.2017.08.001.  

[2017-11]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, "Minimum electric field exposure for seizure induction with electroconvulsive therapy and magnetic seizure therapy", Neuropsychopharmacology,  2017;42(6):1192-1200.    *Featured on Cover 

[2017-10]  Sprooten E, Rasgon A, Goodman M, Carlin A, Leibu E, Lee WH, and Frangou S, "Addressing reverse inference in psychiatric neuroimaging: meta-analyses of task-related brain activation in common mental disorders", Human Brain Mapping,  2017;38(4):1846-1864.   

[2017-9]  Lee WH, Bullmore E, and Frangou S, "Quantitative evaluation of simulated functional brain networks in graph theoretical analysis", NeuroImage, 2017;146:724-733.   

2016

[2016-8]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, "Comparison of electric field strength and spatial distribution of electroconvulsive therapy and magnetic seizure therapy in a realistic head model", European Psychiatry, 2016;36:55-64.  

2015

[2015-7]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, "Electric field model of transcranial electric stimulation in nonhuman primates: correspondence to individual motor threshold", IEEE Transactions on Biomedical Engineering, 2015;62(9):2095-2105. (IF: 2.468)  *Cover Article, Research Highlights, Monthly Highlights

[2015-6]  Sellers KK, Mellin JM, Lustenberger CM, Boyle MR, Lee WH, Peterchev AV, and Frohlich F, "Transcranial direct current stimulation of frontal cortex decreases performance on the WAIS-IV intelligence test", Behavioural Brain Research, 2015;290(1):32-44.   

2012

[2012-5]  Lee WH, Deng ZD, Kim TS, Laine AF, Lisanby SH, and Peterchev AV, "Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: influence of white matter anisotropic conductivity", NeuroImage, 2012;59(3):2110-2123. 

[2012-4]  Suh HS, Lee WH, and Kim TS, "Influence of anisotropic conductivity in the skull and white matter on transcranial direct current stimulation via an anatomically realistic finite element head model", Physics in Medicine and Biology, 2012;57(21):6961-6980.  

[2012-3]  Lee WH and Kim TS, "Methods for high-resolution anisotropic finite element head modeling of the human head: automatic MR white matter anisotropy-adaptive mesh generation", Medical Engineering & Physics, 2012;34(1):85-98.  

2009

[2009-2]  Lee WH, Liu Z, Mueller BA, Lim K, and He B, "Influence of white matter anisotropic conductivity on EEG source localization: comparison to fMRI in human primary visual cortex", Clinical Neurophysiology, 2009;120(12):2071-2081.   *Cover Article

2006

[2006-1]  Lee WH, Kim TS, Cho MH, Ahn YB, and Lee SY, "Methods and evaluations of MRI content-adaptive finite element mesh generation for bioelectromagnetic problems", Physics in Medicine and Biology, 2006;51(23):6176-6186. 

Patents

[2024-03]  이원희, 김태성, 김태성, "사용자의 뇌 네트워크 커뮤니티를 이용한 뇌파 기반 감정 인식 장치 및 방법 (apparatus and method for recognizing emotions based on brain wave using network community of user)",  경희대학교 산학협력단, 대한민국, #10-2024-0154992, 2024년 11월 05일, 출원 

[2023-02]  이원희, 김태성, 김태성, 한주혁, 조혜정, "멀티모달 데이터의 융합을 기반으로 감정을 인식하기 위한 장치 및 방법 (apparatus and method for emotion recognition based on the fusion of multimodal data)",  경희대학교 산학협력단, 대한민국, #10-2023-0160075, 2023년 11월 20일, 출원 

[2022-01]  이원희, 김성규, 김태성, "뇌파 기반 감정 상태 예측 장치 및 방법 (apparatus and method for predicting emotional states based on electroencephalography)",  경희대학교 산학협력단, 대한민국, #10-2022-0160112, 2022년 11월 25일, 출원 

Software

[2025-24]  이원희, 이준혁, 최용진 "다기관 MRI 데이터 편향 제거를 위한 하모나이저(Harmonizer)", 경희대학교 산학협력단, #C-2025-046416 등록일 2025년 11월 04일

[2025-23]  이원희, 박현준 "멀티모달 생체신호 데이터를 이용한 머신러닝 기반 집중도 예측 모델", 경희대학교 산학협력단, #C-2025-044572 등록일 2025년 10월 27일

[2025-22]  이원희, 박현준 "CT-CLIP 기반 도메인 전이를 통한 비조영증강 두부 CT ICH 검출 프로그램", 경희대학교 산학협력단, #C-2025-044552 등록일 2025년 10월 27일

[2025-21]  이원희, 이민재 "시촉각 통합 뇌파 공통 특징 분석 프로그램", 경희대학교 산학협력단, #C-2025-044594 등록일 2025년 10월 17일

[2025-20]  이원희, 김연우, 박성배 "다중 에이전트 대규모 언어 모델 기반 뇌파 활용 사용자 경험 설문지 생성 프로그램", 경희대학교 산학협력단, #C-2025-042582 등록일 2025년 10월 17일

[2025-19]  이원희, 김연우, 김민재 "대규모 언어 모델을 이용한 개인 맞춤형 사용자 경험 설문지 생성 프로그램", 경희대학교 산학협력단, #C-2025-042581 등록일 2025년 10월 17일

[2025-18]  이원희, 김준수 "검색 증강 생성을 활용한 기업 분석 보고서 생성 프로그램", 경희대학교 산학협력단, #C-2025-042583 등록일 2025년 10월 17일

[2024-17]  이원희, 한주혁, 김민재, 김연우 "대규모 언어 모델 기반 적응형 의료 진단 보고서 생성 프로그램", 경희대학교 산학협력단, #C-2024-045384 등록일 2024년 11월 19일

[2024-16]  이원희, 이호욱 "확산 모델을 통한 고품질 3D 합성 뇌 MRI 생성 프로그램", 경희대학교 산학협력단, #C-2024-045385 등록일 2024년 11월 19일

[2024-15]  이원희, 이준혁 "해부학 지원 비지도 학습 기반의 뇌 이상 탐지 및 분할 소프트웨어", 경희대학교 산학협력단, #C-2024-045386 등록일 2024년 11월 19일

[2024-14]  이원희, 김호건 "수면 다원검사의 멀티모달 생체신호를 이용한 딥러닝 기반 수면 단계 분류 프로그램", 경희대학교 산학협력단, #C-2024-045387 등록일 2024년 11월 19일

[2024-13]  이원희, 김태성, 윤하연 "가상환경에서 시촉각 피드백에 대한 사용자의 뇌파 데이터 분석 프로그램", 경희대학교 산학협력단, #C-2024-045042 등록일 2024년 11월 19일

[2024-12]  이원희, 김태성 "뇌파 기반 감정 인식을 위한 뇌 네트워크를 활용한 인공지능 모델", 경희대학교 산학협력단, #C-2024-045043 등록일 2024년 11월 19일

[2024-11]  이원희, 문성환, 김태성 "인공지능 모델 확장을 위한 멀티모달 생체신호 융합 처리 프로그램", 경희대학교 산학협력단, #C-2024-XXXXXX 등록일 2024년 11월 19일

[2024-10]  이원희, 문성환, 김태성 "생체신호를 이용한 엣지 디바이스 연합학습 기반 수면 단계 예측 프로그램", 경희대학교 산학협력단, #C-2024-XXXXXX 등록일 2024년 11월 19일

[2024-9]  이원희, 김태성, 김태성 "피부전도도 기반의 스트레스 검출을 위한 Attention 구조를 활용한 인공지능 모델", 경희대학교 산학협력단, #C-2024-XXXXXX 등록일 2024년 11월 19일

[2023-8]  이원희, 조혜정, 이준혁, 박혜원, 김민재, 김연우 "멀티모달 사용자 경험 평가 분석 도구", 경희대학교 산학협력단, #C-2023-053985 등록일 2023년 11월 12일

[2023-7]  이원희, 조혜정, 한주혁, 김태성, 김태성, "멀티모달 데이터 융합을 통한 딥러닝 기반 감정 인식 모델", 경희대학교 산학협력단, #C-2023-044705, 등록일 2023년 10월 11일

[2023-6]  이원희, 조혜정, 이준혁, 박혜원, 김민재, 김연우, 김태성, "사용자 경험 평가를 위한 멀티모달 데이터 분석 기반 인터랙티브 대시보드", 경희대학교 산학협력단, #C-2023-044704 등록일 2023년 10월 11일

[2023-5]  이원희, 조혜정, 김태성, "가상현실 환경에서 측정된 뇌파 신호 네트워크 기반 분석 및 시각화 도구 프로그램", 경희대학교 산학협력단, #C-2023-044703, 등록일 2023년 10월 11일

[2023-4]  이원희, 박혜원, 박성배, "정신병리학적 증상 평가 점수를 이용한 네트워크 분석 및 시각화 도구 프로그램", 경희대학교 산학협력단, #C-2023-043674, 등록일 2023년 10월 4일

[2023-3]  이원희, 박혜원, 박성배, "형태학적 유사성 네트워크를 이용한 그래프 컨볼루션 네트워크 기반 조현병 진단 프로그램", 경희대학교 산학협력단, #C-2023-043674, 등록일 2023년 10월 4일

[2022-2]  박혜원, 이원희, 박성배, "정신병리학적 증상 평가 점수 네트워크 분석 및 시각화를 위한 인터랙티브 대시보드", 경희대학교 산학협력단, #C-2022-049822, 등록일 2022년 12월 1일

[2022-1]  김성규, 이원희, 김태성, "뇌파 기반 감정 인식을 위한 신호의 3D 형태 재구성 및 병목 구조의 합성곱 신경망 모델", 경희대학교 산학협력단, #C-2022-042581, 등록일 2022년 11월 2일

International Conference Proceedings

[2023-25]  Jo HJ, Lee JH, Park HW, Kim MJ, Kim YW, Lee WH  Developing an integrated dashboard to analyze multimodal data for user experience evaluation, The 8th International Conference on Consumer Electronics (ICCE) Asia, Busan, South Korea, Oct 23-25, 2023  

[2023-24]  Moon SH, Kim TS, Ryu J, Lee WH  Federated learning for sleep stage classification on edge devices via a model-agnostic meta-learning-based pre-trained model, IEEE International Conference on Consumer Electronics (ICCE-Berlin), Berlin, Germany, Sep 2-5, 2023  

[2023-23]  Park HW, Kim SY, Lee WH  Graph convolutional network with morphometric similarity networks for schizophrenia classification, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Vancouver, Canada, Oct, 2023  BK 우수국제학술대회 

[2023-22]  Moon SH, Lee WH  Privacy-preserving federated learning in healthcare, International Conference on Electronics, Information, and Communication (ICEIC), Singapore, Feb, 2023

[2017-21]  Lee WH, Frangou S, Emergence of metastable dynamics in functional brain organization via spontaneous fMRI signal and whole-brain computational modeling, Proc IEEE Eng Med Biol Conf, Jeju, Republic of Korea, July, 2017. 

[2014-20]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, Stimulation strength and focality of electroconvulsive therapy and magnetic seizure therapy in a realistic head model, Proc IEEE Eng Med Biol Conf, Chicago, USA, August, 2014. 

[2014-19]  Bernabei JM, Lee WH*, and Peterchev AV, Modeling transcranial electric stimulation in mouse: a high resolution finite element study, Proc IEEE Eng Med Biol Conf, Chicago, USA, August, 2014.  *Co-first author

[2014-18]  Barnes WI, Lee WH*, and Peterchev AV, Approximating transcranial magnetic stimulation with electric stimulation in mouse: a simulation study, Proc IEEE Eng Med Biol Conf, Chicago, USA, August, 2014.  *Co-first author

[2013-17]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, Anatomical variability predicts individual differences in transcranial electric stimulation motor threshold, Proc IEEE Eng Med Biol Conf, Osaka, Japan, July, 2013.

[2013-16]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, Electric field characteristics of electroconvulsive therapy with individualized current amplitude: a preclinical study, Proc IEEE Eng Med Biol Conf, Osaka, Japan, July, 2013. 

[2012-15]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, *Stimulation strength and focality of electroconvulsive therapy with individualized current amplitude: a preclinical study, Proc IEEE Eng Med Biol Conf, San Diego, USA, Aug, 2012.  *Student Paper Competition Finalist

[2011-14]  Lee WH, Deng ZD, Laine AF, Lisanby SH, and Peterchev AV, Influence of white matter conductivity anisotropy on electric field strength induced by electroconvulsive therapy, Proc IEEE Eng Med Biol Conf, Boston, USA, Aug, 2011.

[2010-13]  Lee WH, Deng ZD, Kim TS, Laine AF, Lisanby SH, and Peterchev AV, Regional electric field induced by electroconvulsive therapy: a finite element simulation study, Proc IEEE Eng Med Biol Conf, Buenos Aires, Argentina, Aug, 2010.

[2010-12]  Suh HS, Lee WH, Cho YS, Kim JS, and Kim TS, Reduced spatial focality of electrical field in tDCS with ring electrodes due to tissue anisotropy, Proc IEEE Eng Med Biol Conf, Buenos Aires, Argentina, Aug, 2010.

[2010-11]  Cho YS, Suh HS, Lee WH, and Kim TS, TMS modeling toolbox for realistic simulation, Proc IEEE Eng Med Biol Conf, Buenos Aires, Argentina, Aug, 2010.

[2009-10]  Suh HS, Lee WH, Kim SH, Kim JH, and Kim TS, Effect of anisotropic electrical conductivity on transcranial direct current stimulation: high-resolution finite element analysis, Proc Int Func Elec Stim Soc, Seoul, Republic of Korea, Sep, 2009.

[2009-9]  Lee WH, Liu Z, Mueller BA, Lim K, and He B, Influence of white matter anisotropy on EEG source localization: an experimental study, Proc IEEE Eng Med Biol Conf, Minneapolis, USA, Sep, 2009.

[2009-8]  Suh HS, Kim SH, Lee WH, and Kim TS, Realistic simulation of transcranial direct current stimulation via 3-D high-resolution finite element analysis: effect of tissue anisotropy, Proc IEEE Eng Med Biol Conf, Minneapolis, USA, Sep, 2009.

[2008-7]  Lee WH, Seo HS, Kim SH, Cho MH, Lee SY, and Kim TS, Influence of white matter anisotropy on the effects of transcranial direct current stimulation: a finite element analysis, Proc Int Conf Biomed Eng, Singapore, Dec, 2008.

[2008-6]  Lee WH, Kim TS, A. T. Kim, and Lee SY, *3-D diffusion tensor MRI anisotropy content-adaptive finite element head model generation for bioelectromagnetic imaging, Proc IEEE Eng Med Biol Conf, Vancouver, Canada, Aug, 2008. *Highlighted Conference Proceedings

[2007-5]  Lee WH, Seo HS, Kim TS, Lee SY, Numerical quality of the scalp electrical potentials from 3-D MRI content-adaptive finite element models of the whole head, Int Conf Bioelectromagnetism, Japan, Oct, 2007.

[2007-4]  Ahn SH, Lee WH, Kim TS, and Lee SY, Extraction and localization of alpha activity of the brain in EEG and fMRI using constrained ICA, Proc IEEE Eng Med Biol Conf, Lyon, France, Aug., 2007

[2007-3]  Lee WH, Kim TS, Kim YH, and Lee SY, Mesh quality analysis of MRI content-adaptive FE head models for neuro-electromagnetic imaging, Proc IEEE Eng Med Biol Conf on Neural Engineering, Hawaii, USA, May, 2007

[2006-2]  Lee WH, Moon JS, Lee SY, and Kim TS, Numerical evaluation of MRI content-adaptive finite element head models via EEG forward solutions,  Proc. the World Congress on Med Phys Biomed Eng, Seoul, Republic of Korea, Aug., 2006

[2005-1]  Lee WH, Kim TS, Cho MH, and Lee SY, Content-adaptive finite element mesh generation of 3-D complex MR volumes for bioelectromagnetic problems, Proc IEEE Eng Med Biol Conf, Shanghai, China, Sept., 2005

International Conference Abstracts

[2020-43]  Lee WH and Frangou S, Altered brain structural controllability in patients with psychosis, Human Brain Mapping Annual Conference, Virtual, June, 2020

[2020-42]  Frangou S, Doucet G, Lee WH, Myelination Abnormalities in Schizophrenia Using Ultra-High Field MR Brain Imaging, Society of Biological Psychiatry, Biological Psychiatry 87 (9), S100-S101, 2020

[2020-41]  Hass S, Doucet G, Antoniades M, Modabbernia A, Lee WH, Kahn R, Corcoran C, Koutsouleris N, Frangou S, Neuroimaging defined psychosis spectrum phenotypes in the general population, Society of Biological Psychiatry, Biological Psychiatry 87 (9), S424, 2020 

[2019-40]  Lee WH, Bassett D, and Frangou S, Structural brain network controllability predicts individual cognitive variation in healthy adults, Human Brain Mapping Annual Conference, Rome, Italy, June, 2019

[2019-39]  Doucet G, Lee WH, and Frangou S, Consensual Atlas of REsting-state Networks (CAREN): reconciling quantitative differences in brain functional atlases, Human Brain Mapping Annual Conference, Rome, Italy, June, 2019

[2019-38]  Janiri D, Moser  DA, Doucet G, Luber MJ, Rasgon A, Lee WH, Murrough J, Sani G, Eickhoff S, Frangou S, Mapping the neural correlates of mood and anxiety disorders: A meta-analysis of task-fMRI studies, Human Brain Mapping Annual Conference, Rome, Italy, June, 2019

[2019-37]  Janiri D, Moser  DA, Doucet G, Luber MJ, Rasgon A, Lee WH, Murrough J, Sani G, Eickhoff S, Frangou S,, Mapping the neural correlates of mood and anxiety disorders onto research domain criteria: a meta-analysis of 226 task-related functional imaging studies, Society of Biological Psychiatry, Chicago, Illinois May, 2019

[2019-36]  Janiri D, Moser  DA, Luber MJ, Doucet G, Rasgon A, Lee WH, Murrough J, Sani G, Eickhoff S, Frangou S, A meta-analysis of task-related brain fMRI activation in major Depressive disorder, bipolar disorder, anxiety disorder and post traumatic stress disorder, European Congress of Psychiatry, Warsaw, Poland, April, 2019

[2019-35]  Frangou S, Doucet G, Lee WH, Sprooten E, Depth-dependent examination of intracortical myelin in schizophrenia using ultra-high field imaging, Schizophrenia Bulletin, Volume 45, Issue Supplement_2, pages S138–S139, April 2019

[2018-34]  Lee WH, and Frangou S, Linking synchrony and metastability to communicability during rest, Human Brain Mapping Annual Conference, Singapore, June, 2018.

[2018-33]  Doucet G, Moser DA, Lee WH, Luber M, Rasgon A, and Frangou S, Inter-subject variability in bipolar disorder using multi-modal imaging datasets, Human Brain Mapping Annual Conference, Singapore, June, 2018.

[2018-32]  Doucet G, Moser DA, Lee WH, Luber M, Rasgon A, and Frangou S, Parsing inter-subject heterogeneity in schizophrenia using multimodal neuroimaging phenotypes, Human Brain Mapping Annual Conference, Singapore, June, 2018.

[2018-31]  Moser DA, Doucet G, Lee WH, Rasgon A, Ing A, Luber M, Leibu E, Schumann G, and Frangou S, Multivariate associations between multimodal imaging and behavioral and clinical data in psychosis, Human Brain Mapping Annual Conference, Singapore, June, 2018.

[2018-30]  Doucet G, Moser DA, Lee WH, Luber M, Rasgon A, and Frangou S, Parsing heterogeneity in schizophrenia using inter-subject variability in multimodal neuroimaging phenotypes, Society of Biological Psychiatry, New York, USA, May, 2018.

[2018-29]  Doucet G, Moser DA, Lee WH, Luber M, Rasgon A, and Frangou S, Inter-subject variability in bipolar disorder using multi-modal imaging datasets, Society of Biological Psychiatry, New York, May, USA, 2018.

[2018-28]  Moser DA, Doucet G, Lee WH, Rasgon A, Krinsky H, Leibu E, Ing A, Schumann G, Rasgon N, and Frangou S, Multivariate associations between behavioral, clinical, and multimodal imaging phenotypes in psychosis, Society of Biological Psychiatry, New York, USA, May, 2018.

[2018-27]  Moser DA, Lee WH, Luber M, Doucet G, and Frangou S, Patients with schizophrenia differ from control participants in the complexity of task-related brain activation, The 7th Annual Symposium, Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, April, 2018

[2017-26]  Lee WH, Doucet GE, and Frangou S, Altered metastable brain dynamics in schizophrenia, Human Brain Mapping Annual Conference, Vancouver, Canada, June, 2017.

[2017-25]  Sprooten E, O’Halloran R, Dinse J, Lee WH, Goodman M, Paulino A, Krinsky H, Rasgon A, Leibu E, Inglese M, Frangou S, Inspecting intra-cortical myelin organization in schizophrenia using 7 Tesla MRI, Human Brain Mapping Annual Conference, Vancouver, Canada, June, 2017.

[2017-24]  Kim J, Naidich T, O’Halloran R, Doucet GE, Lee WH, Krinsky H, Paulino A, Frangou S, and Xu J, Fasciculus retroflexus and stria medullaris bias human hebenula segmetation, Human Brain Mapping Annual Conference, Vancouver, Canada, June, 2017.

[2016-23]  Lee WH and Frangou S, Quantitative comparison of graph theoretical measures of simulated and empirical functional brain networks, 25th Annual Computational Neuroscience Meeting, Jeju, South Korea, July, 2016.

[2016-22]  Lee WH and Frangou S, Quantitative evaluation of simulated functional brain networks in graph theoretical analysis, Human Brain Mapping Annual Conference, Geneva, Switzerland, June, 2016.

[2016-21]  Sprooten E, Lee WH, Rasgon A, Leibu E, and Frangou S, Trends and patterns in 15 years of functional MRI research in psychiatric disorders, Human Brain Mapping Annual Conference, Geneva, Switzerland, June, 2016.

[2015-20]  Kroch GM, Goetz SM, Bernabei JM, Deng ZD, Lee WH, and Peterchev AV, Field distribution model of transcranial static magnetic stimulation, Proc IEEE Eng Med Biol Conf, Milano, Italy, August, 2015. 

[2015-19]  Sprooten E, Lee WH, Rasgon A, A. Carlin, Leibu E, and Frangou S, *Trends and patterns in 15 years of functional MRI research in psychiatric disorders, The 5th Annual Symposium, Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, July, 2015. *Awarded Winning Abstract

[2015-18]  Frangou S, Lee WH, Sprooten E, Rasgon A, and Leibu E, The common functional neural architecture of the major psychiatric disorders, The 5th Annual Symposium, Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, July, 2015.

[2015-17]  Lee WH and Frangou S, Regional electric field generated by tDCS for the treatment of hallucinations in schizophrenia, The 5th Annual Symposium, Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, July, 2015.

[2015-16]  Rasgon A, Leibu E, Lee WH, Sprooten E, and Frangou S, Comparative meta-analysis of fMRI literature in OCD and SZ, The 5th Annual Symposium, Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, July, 2015.

[2015-15]  Rasgon A, Lee WH, Sprooten E, Leibu E, and Frangou S, Thalamo-striatal dysfunction may underlie comorbidity between OCD and schizophrenia, The 5th Annual Symposium, Translational & Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, July, 2015.

[2015-14]  Lee WH and Frangou S, Regional electric field generated by tDCS for the treatment of hallucinations in schizophrenia, Human Brain Mapping Annual Conference, Honolulu, Hawaii, Jun, 2015.

[2015-13]  Lee WH and Frangou S, Regional electric field generated by tDCS for the treatment of hallucinations in schizophrenia, The 7th Annual Neuroscience Retreat, Icahn School of Medicine at Mount Sinai, New York, May, 2015.

[2005-12]  Sprooten E, Lee WH, Rasgon A, Leibu E, and Frangou S, Trends and patterns in 15 years of functional MRI research in psychiatric disorders, The 7th Annual Neuroscience Retreat, Icahn School of Medicine at Mount Sinai, New York, May, 2015.

[2015-11]  Rasgon A, A. Carlin, Lee WH, Leibu E, and Frangou S, Comparative meta-analysis of fMRI literature in OCD and SZ. The 7th Annual Neuroscience Retreat, Icahn School of Medicine at Mount Sinai, New York, May, 2015.

[2015-10]  Carlin A, Rasgon A, Lee WH, Leibu E, and Frangou S, Bipolar disorder and anxiety disorders show overlapping functional neural signatures. Soc. Biol. Psychiatry, Toronto, Canada, May, 2015. 

[2015-9]  Rasgon A, Carlin A, Lee WH, Leibu E, and Frangou S, Thalamo-striatal dysfunction may underlie comorbidity between OCD and schizophrenia. Soc. Biol. Psychiatry, Toronto, Canada, May, 2015. 

[2014-8]  Lisanby SH, Lee WH, Deng ZD, and Peterchev AV, Individualized Low Amplitude Seizure Therapy (iLAST) - Magnetic and Electric Approaches to Enhance Focality and Safety for Depression Treatment. Soc. Biol. Psychiatry, New York, NY, USA, May, 2014. 

[2013-7]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, Individual variability predicts individual differences in ECT seizure threshold: a combined preclinical and computational modeling study. Int Soc ECT Neuromodulation (ISEN), San Francisco, California, USA, May, 2013.

[2012-6]  Lee WH, Lisanby SH, Laine AF, and Peterchev AV, Finite element model of the rhesus macaque head: electroconvulsive therapy electric field simulation. Human Brain Mapping Annual Conference, Beijing, China, Jun, 2012.

[2012-5]  Lee WH, Lisanby SH, Curtis RM, Laine AF, and Peterchev AV. Stimulation strength in hippocampus for various ECT electrode configurations computed in a realistic head model. Int Soc ECT Neuromodulation (ISEN), Philadelphia, Pennsylvania, USA, May, 2012.

[2009-4]  Lee WH, Deng ZD, Kim TS, Lisanby SH, and Peterchev AV, Regional differences in electric field strength induced by electroconvulsive therapy (ECT) electrode placements. ACNP’09, Florida, USA, Dec, 2009.

[2006-3]  Kim TS, Lee WH, Lee SY, Cho MH, Park KM, and Khang G, MRI content-adaptive finite element model of the head for electromagnetic brain mapping, Proc. the 12th Human Brain Mapping Annual Conference, Florence, Italy, Jun., 2006

[2006-2]  Lee WH, Kim TS, Lee MH, and Lee SY, MR image content-adaptive finite element mesh generation, Proc. the ISMRM 14th Annual Conference, Seattle, USA, May, 2006

[2006-1]  Rasheed T, Kim TS, Kee YK, In MH, Lee WH, Lee SY, and Lee SY, Constrained ICA-based ballistocardiogram and electro-oculogram artifacts removal from EEG signals acquired inside MRI, Proc. the ISMRM 14th Annual Conference, Seattle, USA, May, 2006

Journal Articles (National)

[2025-6]   이호욱, 이원희, 3차원 합성 뇌 MRI 생성을 위한 해부학적 가이드 기반 확산 모델 개발, 정보과학회 컴퓨팅의 실제 논문지, 2025;31(10):427-433.  KCI 

[2024-5]   김서영, 문성환, 이원희, 멀티모달 뇌영상 데이터를 이용한 머신러닝 기반 뇌연령 예측 개선, 정보과학회 컴퓨팅의 실제 논문지, 2024;30(3):131-136.  KCI 

[2023-4]   김성규, 김태성, 이원희, 병목 구조를 갖는 3D Convolutional Neural Network를 이용한 뇌파 기반 감정 인식, 정보과학회 컴퓨팅의 실제 논문지, 2023;29(5):251-256.  KCI 

[2011-3]   Kim SH, Suh HS, Cho YS, Lee WH, and Kim TS, Changes in distribution of electrical field in tDCS with ring electrodes due to tissue anisotropy: a 3D high resolution finite element head model study, Journal of Biomedical Engineering Research, 2011;32(4):305-311.  KCI 

[2008-2]   Ahn SH, Rasheed T, Lee WH, Kim TS, Cho MH, and Lee SY, Constrained independent component analysis based extraction and mapping of the brain alpha activity in EEG, Journal of Biomedical Engineering Research, 2008;29(5):355-363.  KCI 

[2006-1]   Lee WH, Kim TS, Cho MH, and Lee SY, MRI content-adaptive finite element mesh generation toolbox, Journal of Biomedical Engineering Research, 2006;27(3):110-116.  KCI 

Conference Proceedings & Abstracts (National)

[2008-7]  Lee WH, Kim TS, and Lee SY, 3-D DT-MRI anisotropy content-adaptive finite element mesh generation for bioelectromagnetic problems. Proc. Korean Soc Med Biol Eng, Cheongju, Republic of Korea, May, 2008.

[2007-6]  Lee WH and Kim TS, Influence of white matter anisotropic conductivity on EEG forward solutions via 3-D MRI content-adaptive finite element models of the whole head, Proc. IEEE Seoul Section, Republic of Korea, 2007

[2007-5]  Lee HY, Lee WH, Seo HS, Kim TS, and Lee SY, Influence of white matter anisotropy on EEG forward solutions via 3-D MRI content-adaptive finite element models of the whole head, Proc. the Korea Society of Medical and Biological Engineering, Seoul, Republic of Korea, Nov., 2007

[2007-4]  Kim YH, Le DP, Kim K, Kim TS, and Lee WH, A technique for estimation of 3-D in vivo knee kinematics, Proc. the Korea Society of Medical and Biological Engineering, Seoul, Republic of Korea, Nov., 2007

[2006-3]  Kim TS and Lee WH, Content-adaptive mesh generation for finite element analysis, Proc Workshop Image Process Image Understanding, Jeju, Republic of Korea, Feb, 2006.

[2005-2]  Lee WH, Kim TS, Cho MH, and Lee SY, Development of a Matlab toolbox for MR image content-adaptive finite element head modeling, Proc. the Korea Society of Medical and Biological Engineering, Seoul, Republic of Korea, Nov., 2005

[2005-1]  Lee WH, Kim TS, Cho MH, and Lee SY, Development of MR image content-adaptive finite element head models, Proc. the Korea Society of Medical and Biological Engineering, Seoul, Republic of Korea, May, 2005