A Preliminary Work: Mixed Reality-Integrated Computer-Aided Surgical Navigation System for Paranasal Sinus Surgery Using Microsoft HoloLens 2. - Sungmin Lee 002; Hoijoon Jung; Euro Lee; Younhyun Jung; Seon Tae Kim (CGI, 2021)

Music intelligence: Granular data and prediction of top ten hit songs. - Seon Tae Kim; Joo Hee Oh (Decis. Support Syst., 2021)

Assessing Regional Disparities in Human Development and Multidimensional Poverty: A Satellite Imagery and Machine Learning Approach. - Sukbeom Chang; Youeel Sadek Kamal Abdelnour; Ivis María Companioni Cardoso; Jeongho Kim; Seon Tae Kim; Joo Hee Oh (IEEE Big Data, 2023)

Detecting Greenwashing in Sustainability Disclosures: A Prediction Model for KOSPI 200 Enterprises using ESG-BERT. - Seonu Kim; Yoel Shin; SeongWoo Park; Semakula Joel; Seon Tae Kim; Joo Hee Oh (IEEE Big Data, 2023)

A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO's Video Campaigns. - Kamuna Kipa; Nigel Kari Totona; Eunbi Cho; Jeongho Kim; Seon Tae Kim; Joo Hee Oh (IEEE Big Data, 2023)

Automated Marker-Less Patient-to-Preoperative Medical Image Registration Approach Using RGB-D Images and Facial Landmarks for Potential Use in Computed-Aided Surgical Navigation of the Paranasal Sinus. - Suhyeon Kim; Haill An; Myungji Song; Sungmin Lee 002; Hoijoon Jung; Seon Tae Kim; Younhyun Jung (CGI (4), 2023)

The Attention Economy: Measuring the Value of Free Goods on the Internet. - Erik Brynjolfsson; Seon Tae Kim; Joo Hee Oh (Inf. Syst. Res., 2024)

Deep Learning-Based Multi-Class Segmentation of the Paranasal Sinuses of Sinusitis Patients Based on Computed Tomographic Images. - Jongwook Whangbo; Juhui Lee; Young Jae Kim; Seon Tae Kim; Kwang Gi Kim (Sensors, 2024)