Bundle Block Adjustment with 3D Natural Cubic Splines. - Won Hee Lee; Kiyun Yu (Sensors, 2009)

A new method for matching objects in two different geospatial datasets based on the geographic context. - Jung Ok Kim; Kiyun Yu; Joon Heo; Won Hee Lee (Comput. Geosci., 2010)

Influence of white matter conductivity anisotropy on electric field strength induced by electroconvulsive therapy. - Won Hee Lee; Zhi-De Deng; Andrew F. Laine; Sarah H. Lisanby; Angel V. Peterchev (EMBC, 2011)

Stimulation strength and focality of electroconvulsive therapy with individualized current amplitude: A preclinical study. - Won Hee Lee; Sarah H. Lisanby; Andrew F. Laine; Angel V. Peterchev (EMBC, 2012)

Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: Influence of white matter anisotropic conductivity. - Won Hee Lee; Zhi-De Deng; Tae-Seong Kim 001; Andrew F. Laine; Sarah H. Lisanby; Angel V. Peterchev (NeuroImage, 2012)

Shifting grounds: how industry emergence changes the effectiveness of knowledge creation strategies - the case of the US automotive airbag industry. - Sebastian K. Fixson; Won Hee Lee (Technol. Anal. Strateg. Manag., 2012)

Anatomical variability predicts individual differences in transcranial electric stimulation motor threshold. - Won Hee Lee; Sarah H. Lisanby; Andrew F. Laine; Angel V. Peterchev (EMBC, 2013)

Electric field characteristics of electroconvulsive therapy with individualized current amplitude: A preclinical study. - Won Hee Lee; Sarah H. Lisanby; Andrew F. Laine; Angel V. Peterchev (EMBC, 2013)

New POI Construction with Street-Level Imagery. - Chillo Ga; Jeongho Lee; Won Hee Lee; Kiyun Yu (IEICE Trans. Inf. Syst., 2013)

Approximating transcranial magnetic stimulation with electric stimulation in mouse: A simulation study. - Walter L. Barnes; Won Hee Lee; Angel V. Peterchev (EMBC, 2014)

Modeling transcranial electric stimulation in mouse: A high resolution finite element study. - John M. Bernabei; Won Hee Lee; Angel V. Peterchev (EMBC, 2014)

Stimulation strength and focality of electroconvulsive therapy and magnetic seizure therapy in a realistic head model. - Won Hee Lee; Sarah H. Lisanby; Andrew F. Laine; Angel V. Peterchev (EMBC, 2014)

Electric Field Model of Transcranial Electric Stimulation in Nonhuman Primates: Correspondence to Individual Motor Threshold. - Won Hee Lee; Sarah H. Lisanby; Andrew F. Laine; Angel V. Peterchev (IEEE Trans. Biomed. Eng., 2015)

Emergence of metastable dynamics in functional brain organization via spontaneous fMRI signal and whole-brain computational modeling. - Won Hee Lee; Sophia Frangou (EMBC, 2017)

Quantitative evaluation of simulated functional brain networks in graph theoretical analysis. - Won Hee Lee; Ed Bullmore; Sophia Frangou (NeuroImage, 2017)

Technological Uncertainty and Firm Boundaries: The Moderating Effect of Knowledge Modularity. - Sebastian K. Fixson; Davit Khachatryan; Won Hee Lee (IEEE Trans. Engineering Management, 2017)

Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging. - Emma Sprooten; Rafael O'Halloran; Juliane Dinse; Won Hee Lee; Dominik Andreas Moser; Gaelle Eve Doucet; Morgan Goodman; Hannah Krinsky; Alejandro Paulino; Alexander Rasgon; Evan Leibu; Priti Balchandani; et al. (NeuroImage, 2019)

Object-Based Building Change Detection by Fusing Pixel-Level Change Detection Results Generated from Morphological Building Index. - Aisha Javed; Sejung Jung; Won Hee Lee; Youkyung Han (Remote. Sens., 2020)

Change Detection of Building Objects in High-Resolution Single-Sensor and Multi-Sensor Imagery Considering the Sun and Sensor's Elevation and Azimuth Angles. - Sejung Jung; Won Hee Lee; Youkyung Han (Remote. Sens., 2021)

Schizophrenia Detection Using Machine Learning Approach from Social Media Content. - Yi Ji Bae; Midan Shim; Won Hee Lee (Sensors, 2021)

Temperature Accuracy Analysis by Land Cover According to the Angle of the Thermal Infrared Imaging Camera for Unmanned Aerial Vehicles. - Kirim Lee; Won Hee Lee (ISPRS Int. J. Geo Inf., 2022)

Object-Based High-Rise Building Detection Using Morphological Building Index and Digital Map. - Sejung Jung; Kirim Lee; Won Hee Lee (Remote. Sens., 2022)

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data. - Juhyuk Han; Seo Yeong Kim; Junhyeok Lee 003; Won Hee Lee (Sensors, 2022)

Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks. - Ismael Espinoza Jaramillo; Jin Gyun Jeong; Patricio Rivera Lopez; Choong-Ho Lee; Do-Yeon Kang; Tae-Jun Ha; Ji-Heon Oh; Hwanseok Jung; Jin Hyuk Lee; Won Hee Lee; Tae-Seong Kim 001 (Sensors, 2022)

Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition. - Sungkyu Kim; Tae-Seong Kim 001; Won Hee Lee (Sensors, 2022)

SAIT Traffic Landmark Dataset. - Won Hee Lee; Kyungboo Jung; Chulwoo Kang; Hyun Sung Chang (IEEE DataPort, 2022)

Privacy-Preserving Federated Learning in Healthcare. - SungHwan Moon; Won Hee Lee (ICEIC, 2023)

Long-Horizon Manipulation by a Single-arm Robot via Sub-goal Network based Hierarchical Reinforcement Learning. - Jin Gyun Jeong; Ji-Heon Oh; Hwanseok Jung; Jin Hyuk Lee; Ismael Nicolas Espinoza Jaramillo; Channabasava Chola; Won Hee Lee; Tae-Seong Kim 001 (ICBET, 2023)

Federated Learning for Sleep Stage Classification on Edge Devices via a Model-Agnostic Meta-Learning-Based Pre-Trained Model. - SungHwan Moon; Tae Seong Kim; Jihye Ryu; Won Hee Lee (ICCE-Berlin, 2023)

Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia Classification. - Hye Won Park; Seo Yeong Kim; Won Hee Lee (MICCAI (1), 2023)

Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding. - Yeongwoong Kim; Suyong Bahk; Seungeon Kim; Won Hee Lee; Dokwan Oh; Hui Yong Kim (CoRR, 2023)

The Diagnosis of Major Depressive Disorder Through Wearable fNIRS by Using Wavelet Transform and Parallel-CNN Feature Fusion. - Guangming Wang; Ning Wu; Yi Tao; Won Hee Lee; Zehong Cao; Xiangguo Yan; Gang Wang 005 (IEEE Trans. Instrum. Meas., 2023)

Human Activity Prediction Based on Forecasted IMU Activity Signals by Sequence-to-Sequence Deep Neural Networks. - Ismael Espinoza Jaramillo; Channabasava Chola; Jin Gyun Jeong; Ji-Heon Oh; Hwanseok Jung; Jin-Hyuk Lee; Won Hee Lee; Tae-Seong Kim 001 (Sensors, 2023)

Are EEG-to-Text Models Working? - Hyejeong Jo; Yiqian Yang; Juhyeok Han; Yiqun Duan; Hui Xiong; Won Hee Lee (CoRR, 2024)

MAD: Multi-Alignment MEG-to-Text Decoding. - Yiqian Yang; Hyejeong Jo; Yiqun Duan; Qiang Zhang 029; Jinni Zhou; Won Hee Lee; Renjing Xu; Hui Xiong 001 (CoRR, 2024)

Classification of Three Anesthesia Stages Based on Near-Infrared Spectroscopy Signals. - Zhian Liu; Lichengxi Si; Shaoxian Shi; Jing Li; Jing Zhu; Won Hee Lee; Sio-Long Lo; Xiangguo Yan; Badong Chen; Feng Fu; Yang Zheng 005; Gang Wang 005 (IEEE J. Biomed. Health Informatics, 2024)

A Feature Fusion Model Based on Temporal Convolutional Network for Automatic Sleep Staging Using Single-Channel EEG. - Jiameng Bao; Guangming Wang; Tianyu Wang; Ning Wu; Shimin Hu 005; Won Hee Lee; Sio-Long Lo; Xiangguo Yan; Yang Zheng 005; Gang Wang 005 (IEEE J. Biomed. Health Informatics, 2024)

REVECA: Adaptive Planning and Trajectory-Based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity. - Seungwon Seo; SeongRae Noh; Junhyeok Lee 003; Soobin Lim; Won Hee Lee; HyeongYeop Kang (AAAI, 2025)

The Impact of MRI Data Harmonization on Brain Age Prediction. - Junhyeok Lee 003; Juhyuk Han; Minjae Kim; Yeonwoo Kim; Tae-Seong Kim 001; Won Hee Lee (ICAIIC, 2025)

Multi-Agent AMIX-DAPG of Dual-Arm Robot for Long Horizon Lifecare Tasks. - Hwanseok Jung; Ji-Heon Oh; Ismael Espinoza Jaramillo; Danbi Jung; Won Hee Lee; Tae-Seong Kim 001 (ICAIIC, 2025)

Graph Theoretical Analysis of EEG-Based Functional Connectivity During Visuo-Haptic Interactions in Virtual Environments. - Ha Yeon Yoon; Tae Seong Kim; Ju Yeon Jung; Jung Geun Ahn; Tack Woo; Won Hee Lee (ICAIIC, 2025)

Predicting brain age with global-local attention network from multimodal neuroimaging data: Accuracy, generalizability, and behavioral associations. - Sunghwan Moon; Junhyeok Lee 003; Won Hee Lee (Comput. Biol. Medicine, 2025)

Channel-Selection-Based Temporal Convolutional Network for Patient-Specific Epileptic Seizure Detection. - Guangming Wang; Xiyuan Lei; Wen Li; Won Hee Lee; Lianchi Huang; Jialin Zhu; Shanshan Jia 005; Dong Wang 050; Yang Zheng 005; Hua Zhang; Badong Chen; Gang Wang 005 (IEEE Trans. Cogn. Dev. Syst., 2025)