7.1 A 1/4-inch 8Mpixel CMOS image sensor with 3D backside-illuminated 1.12μm pixel with front-side deep-trench isolation and vertical transfer gate. - JungChak Ahn; Kyungho Lee; Yitae Kim; Heegeun Jeong; Bumsuk Kim; Hongki Kim; Jongeun Park; Taesub Jung; Wonje Park; Taeheon Lee; Eunkyung Park 003; Sangjun Choi; et al. (ISSCC, 2014)

Cancer subtype classification and modeling by pathway attention and propagation. - Sangseon Lee; Sangsoo Lim; Taeheon Lee; Inyoung Sung; Sun Kim (Bioinform., 2020)

TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings. - Taeheon Lee; Jeonghwan Hwang; Honggu Lee (CoRR, 2020)

Training Neural Networks with Domain Pattern-Aware Auxiliary Task for Sleep Staging. - Taeheon Lee; Jeonghwan Hwang; Honggu Lee (ICASSP, 2021)

Ranked k-Spectrum Kernel for Comparative and Evolutionary Comparison of Exons, Introns, and CpG Islands. - Sangseon Lee; Taeheon Lee; Yung-Kyun Noh; Sun Kim (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A 64Mpixel CMOS Image Sensor with 0.50µm Unit Pixels Separated by Front Deep-Trench Isolation. - Sungbong Park; Changkyu Lee; Sangcheon Park; Haeyong Park; Taeheon Lee; Dami Park; Minsung Heo; Inyong Park; Hyunyoung Yeo; Youna Lee; Juhee Lee; Beomsuk Lee; et al. (ISSCC, 2022)

Synergy Through Integration of Wearable EEG and Virtual Reality for Mild Cognitive Impairment and Mild Dementia Screening. - Bohee Lee; Taeheon Lee; Hyungsin Jeon; Songsub Lee; Kibum Kim; Wanhee Cho; Jeonghwan Hwang; Yong-Wook Chae; Jin-Man Jung; Hyo Jin Kang; Nan Hee Kim; Cheolmin Shin; et al. (IEEE J. Biomed. Health Informatics, 2022)

Driveline Modeling With Transmission Loss and Robust Torque Observer Design for Dual Clutch Transmission. - Taeheon Lee; Dong-Hyun Kim 015; Seibum B. Choi (IEEE Trans. Veh. Technol., 2022)

Real-Time Optimization of Gear Shift Trajectories Using Quadratic Programming for Electric Vehicles With Dual Clutch Transmission. - Taeheon Lee; Seibum B. Choi (IEEE Trans. Veh. Technol., 2023)

Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data. - Yoonseok Kim; Taeheon Lee; Youngjoo Hyun; Eric Coatanéa; Siren Mika; Jeonghoon Mo; Youngjun Yoo (Comput. Ind., 2023)

Use of Electronic Health Records and Documentation Burden Among Nurses in Acute and Critical Care. - Hwayoung Cho; Oliver Nguyen; Michael Weaver; Cassie Marcelle; Jennifer Pruitt; Taeheon Lee; Ramzi G. Salloum; Gail M. Keenan (Nursing Informatics, 2024)

Implementation and delivery of electronic health records training programs for nurses working in inpatient settings: a scoping review. - Oliver Nguyen; Steven D. Vo; Taeheon Lee; Kenrick D. Cato; Hwayoung Cho (J. Am. Medical Informatics Assoc., 2024)